COST/CAPACITY

Prices and limits, with date.

The published cost is only comparable when we know the unit, modality and conditions.

Published data

USD per million tokens when the source uses that unit.

OpenAI · Text and reasoning

GPT‑6 Astra

Standard input
10.00 USD / 1 M tokens
Standard output
50.00 USD / 1 M tokens
Cached input
1.00 USD / 1 M tokens
Batch input
5.00 USD / 1 M tokens
Batch output
25.00 USD / 1 M tokens
Context
1,050,000 tokens
maximum output
128,000 tokens

Requests with more than 272,000 input tokens apply price multipliers; tools may add per-call charges.

Open profile and sources →
Anthropic · Text and reasoning

Claude Opus 5

Standard input
5.00 USD / 1 M tokens
Standard output
25.00 USD / 1 M tokens
Cached input
0.50 USD / 1 M tokens
Batch input
2.50 USD / 1 M tokens
Batch output
12.50 USD / 1 M tokens
Context
1,000,000 tokens
maximum output
128,000 tokens

Thinking is billed as output. Fast mode costs twice the base rate.

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Google · Text and reasoning

Gemini 3.8 Flash

Standard input
0.75 USD / 1M tokens
Standard output
3.75 USD / 1M tokens
Cached input
0.075 USD / 1 M tokens
Batch input
0.375 USD / 1 M tokens
Batch output
1.875 USD / 1 M tokens
Context
1,048,576 entry tokens
maximum output
65,536 output tokens

Introductory pricing until December 31, 2026; from 2027, standard rates double.

Open profile and sources →
OpenAI · Text and reasoning

GPT‑5.6 Sol

Standard input
4,00 USD / 1 M tokens
Standard output
20,00 USD / 1 M tokens
Cached input
0,40 USD / 1 M tokens
Batch input
2,00 USD / 1 M tokens
Batch output
10.00 USD / 1 M tokens
Context
1,050,000 tokens
maximum output
128,000 tokens

Consult the primary source before budgeting for a deployment.

Open profile and sources →
OpenAI · Text and reasoning

GPT‑5.6 Terra

Standard input
2,00 USD / 1 M tokens
Standard output
12,00 USD / 1 M tokens
Cached input
0,20 USD / 1 M tokens
Batch input
1.00 USD / 1 M tokens
Batch output
6,00 USD / 1 M tokens
Context
1,050,000 tokens
maximum output
128,000 tokens

Consult the primary source before budgeting for a deployment.

Open profile and sources →
OpenAI · Text and reasoning

GPT‑5.6 Luna

Standard input
0,20 USD / 1 M tokens
Standard output
1,20 USD / 1 M tokens
Cached input
0,02 USD / 1 M tokens
Batch input
0,10 USD / 1 M tokens
Batch output
0,60 USD / 1 M tokens
Context
1,050,000 tokens
maximum output
128,000 tokens

Consult the primary source before budgeting for a deployment.

Open profile and sources →
Anthropic · Text and reasoning

Claude Fable 5.1

Standard input
10.00 USD / 1 M tokens
Standard output
50.00 USD / 1 M tokens
Cached input
1.00 USD / 1 M tokens
Batch input
5.00 USD / 1 M tokens
Batch output
25.00 USD / 1 M tokens
Context
1,000,000 tokens
maximum output
128,000 tokens

Consult the primary source before budgeting for a deployment.

Open profile and sources →
Anthropic · Text and reasoning

Claude Sonnet 5

Standard input
2,00 USD / 1 M tokens
Standard output
10.00 USD / 1 M tokens
Cached input
0,20 USD / 1 M tokens
Batch input
1.00 USD / 1 M tokens
Batch output
5.00 USD / 1 M tokens
Context
1,000,000 tokens
maximum output
128,000 tokens

Consult the primary source before budgeting for a deployment.

Open profile and sources →
Anthropic · Text and reasoning

Claude Haiku 4.5

Standard input
1.00 USD / 1 M tokens
Standard output
5.00 USD / 1 M tokens
Cached input
0,10 USD / 1 M tokens
Batch input
0.50 USD / 1 M tokens
Batch output
2.50 USD / 1 M tokens
Context
200.000 tokens
maximum output
64.000 tokens

Consult the primary source before budgeting for a deployment.

Open profile and sources →
Google · Text and reasoning

Gemini 3.1 Pro

Standard input
2,00 USD / 1 M tokens (<200k)
Standard output
12,00 USD / 1 M tokens (<200k)
Cached input
0,20 USD / 1 M tokens
Batch input
1.00 USD / 1 M tokens
Batch output
6,00 USD / 1 M tokens
Context
1.048.576 tokens
maximum output
65.536 tokens

A higher pricing tier applies above 200,000 tokens.

Open profile and sources →
xAI · Text and reasoning

Grok 4.6

Standard input
2,00 USD / 1 M tokens
Standard output
6,00 USD / 1 M tokens
Cached input
0.50 USD / 1 M tokens
Batch input
Not published
Batch output
Not published
Context
500.000 tokens
maximum output
No published text limit

Input and output pricing doubles above 200,000 tokens.

Open profile and sources →
DeepSeek · Text and reasoning

DeepSeek V4.1 Flash

Standard input
0,30 USD / 1 M tokens (peak)
Standard output
1,20 USD / 1 M tokens (peak)
Cached input
0,006 USD / 1 M tokens (peak)
Batch input
Not published
Batch output
Not published
Context
1,000,000 tokens
maximum output
384.000 tokens

Off-peak rates are half price; schedules are published in UTC.

Open profile and sources →
Mistral AI · Text and reasoning

Mistral Medium 3.5

Standard input
1,50 USD / 1 M tokens
Standard output
7,50 USD / 1 M tokens
Cached input
0,15 USD / 1 M tokens
Batch input
Not published
Batch output
Not published
Context
256.000 tokens
maximum output
Not published

Consult the primary source before budgeting for a deployment.

Open profile and sources →
Meta · Text and reasoning

Llama 4 Maverick

Standard input
Not published
Standard output
Not published
Cached input
Not published
Batch input
Not published
Batch output
Not published
Context
1,000,000 tokens
maximum output
Not published

Consult the primary source before budgeting for a deployment.

Open profile and sources →
Cohere · Text and reasoning

Command A+

Standard input
Free up to the quota limit
Standard output
Free up to the quota limit
Cached input
Not published
Batch input
Not published
Batch output
Not published
Context
128,000 tokens
maximum output
64.000 tokens

Production use is offered through Cohere Model Vault and enterprise agreements.

Open profile and sources →
Amazon · Text and reasoning

Amazon Nova 2 Lite

Standard input
Not published
Standard output
Not published
Cached input
Not published
Batch input
Not published
Batch output
Not published
Context
1,000,000 tokens
maximum output
65.536 tokens

Consult the primary source before budgeting for a deployment.

Open profile and sources →
Alibaba Qwen · Text and reasoning

Qwen3‑Max Thinking

Standard input
1,20 USD / 1 M tokens (≤32k)
Standard output
6,00 USD / 1 M tokens (≤32k)
Cached input
0,24 USD / 1 M tokens
Batch input
0,60 USD / 1 M tokens (≤32k)
Batch output
3,00 USD / 1 M tokens (≤32k)
Context
262.000 tokens
maximum output
65.000 tokens

Higher pricing tiers apply above 32,000 tokens.

Open profile and sources →
Z.AI · Text and reasoning

GLM‑5.1

Standard input
1,40 USD / 1 M tokens
Standard output
4,40 USD / 1 M tokens
Cached input
0,26 USD / 1 M tokens
Batch input
Not published
Batch output
Not published
Context
200.000 tokens
maximum output
128,000 tokens

Consult the primary source before budgeting for a deployment.

Open profile and sources →
MiniMax · Text and reasoning

MiniMax M2.7

Standard input
0,30 USD / 1 M tokens
Standard output
1,20 USD / 1 M tokens
Cached input
0,06 USD / 1 M tokens
Batch input
Not published
Batch output
Not published
Context
204.800 tokens
maximum output
Not published

Consult the primary source before budgeting for a deployment.

Open profile and sources →
OpenAI · Text and reasoning

GPT‑5.5

Standard input
Not published
Standard output
Not published
Cached input
Not published
Batch input
Not published
Batch output
Not published
Context
400,000 tokens
maximum output
128,000 tokens

Consult the primary source: the billing unit depends on the model type and access channel.

Open profile and sources →
OpenAI · Code

GPT‑4.1

Standard input
Not published
Standard output
Not published
Cached input
Not published
Batch input
Not published
Batch output
Not published
Context
1,047,576 tokens
maximum output
32,768 tokens

Consult the primary source: the billing unit depends on the model type and access channel.

Open profile and sources →
OpenAI · Text and reasoning

gpt‑oss‑120b

Standard input
Not published
Standard output
Not published
Cached input
Not published
Batch input
Not published
Batch output
Not published
Context
131,072 tokens
maximum output
Not published

Consult the primary source: the billing unit depends on the model type and access channel.

Open profile and sources →
OpenAI · Image

GPT‑Image‑2.5 Sunburst

Standard input
Not published
Standard output
Not published
Cached input
Not published
Batch input
Not published
Batch output
Not published
Context
Prompt and reference images
maximum output
Image

Consult the primary source: the billing unit depends on the model type and access channel.

Open profile and sources →
OpenAI · Video

Sora 2 Pro

Standard input
Not published
Standard output
Not published
Cached input
Not published
Batch input
Not published
Batch output
Not published
Context
Not applicable or not published
maximum output
Not published

Consult the primary source: the billing unit depends on the model type and access channel.

Open profile and sources →
OpenAI · Voice and audio

GPT‑Live 1

Standard input
Not published
Standard output
Not published
Cached input
Not published
Batch input
Not published
Batch output
Not published
Context
Real-time session
maximum output
Streaming audio and text

Consult the primary source: the billing unit depends on the model type and access channel.

Open profile and sources →
OpenAI · Voice and audio

GPT‑Transcribe

Standard input
Not published
Standard output
Not published
Cached input
Not published
Batch input
Not published
Batch output
Not published
Context
Audio via file or streaming
maximum output
Transcription

Consult the primary source: the billing unit depends on the model type and access channel.

Open profile and sources →
OpenAI · Embeddings

text‑embedding‑3‑large

Standard input
Not published
Standard output
Not published
Cached input
Not published
Batch input
Not published
Batch output
Not published
Context
8,191 tokens
maximum output
Up to 3,072 dimensions

Consult the primary source: the billing unit depends on the model type and access channel.

Open profile and sources →
Anthropic · Text and reasoning

Claude Opus 4.5

Standard input
Not published
Standard output
Not published
Cached input
Not published
Batch input
Not published
Batch output
Not published
Context
200.000 tokens
maximum output
Not published

Consult the primary source: the billing unit depends on the model type and access channel.

Open profile and sources →
Anthropic · Code

Claude Sonnet 4.5

Standard input
Not published
Standard output
Not published
Cached input
Not published
Batch input
Not published
Batch output
Not published
Context
200.000 tokens
maximum output
Not published

Consult the primary source: the billing unit depends on the model type and access channel.

Open profile and sources →
Google · Text and reasoning

Gemini 3.7 Flash

Standard input
Not published
Standard output
Not published
Cached input
Not published
Batch input
Not published
Batch output
Not published
Context
1.048.576 tokens
maximum output
65.536 tokens

Consult the primary source: the billing unit depends on the model type and access channel.

Open profile and sources →
Google · Image

Nano Banana 2

Standard input
Not published
Standard output
Not published
Cached input
Not published
Batch input
Not published
Batch output
Not published
Context
Multimodal prompt
maximum output
Image

Consult the primary source: the billing unit depends on the model type and access channel.

Open profile and sources →
Google · Video

Veo 3.1

Standard input
Not published
Standard output
Not published
Cached input
Not published
Batch input
Not published
Batch output
Not published
Context
Prompts and visual references
maximum output
Video clips with audio

Consult the primary source: the billing unit depends on the model type and access channel.

Open profile and sources →
Google · Music

Lyria 3.5

Standard input
Not published
Standard output
Not published
Cached input
Not published
Batch input
Not published
Batch output
Not published
Context
Creative prompt and optional image
maximum output
Songs up to 3 minutes

Consult the primary source: the billing unit depends on the model type and access channel.

Open profile and sources →
Google · Embeddings

Gemini Embedding 2

Standard input
Not published
Standard output
Not published
Cached input
Not published
Batch input
Not published
Batch output
Not published
Context
Multimodal input
maximum output
Vectors

Consult the primary source: the billing unit depends on the model type and access channel.

Open profile and sources →
Google · Robotics

Gemini Robotics ER 2

Standard input
Not published
Standard output
Not published
Cached input
Not published
Batch input
Not published
Batch output
Not published
Context
Visual and instruction input
maximum output
Plans and tool calls

Consult the primary source: the billing unit depends on the model type and access channel.

Open profile and sources →
Meta · Multimodal

Llama 4 Scout

Standard input
Not published
Standard output
Not published
Cached input
Not published
Batch input
Not published
Batch output
Not published
Context
10,000,000 tokens
maximum output
Not published

Consult the primary source: the billing unit depends on the model type and access channel.

Open profile and sources →
Meta · Vision and documents

Segment Anything Model 3

Standard input
Not published
Standard output
Not published
Cached input
Not published
Batch input
Not published
Batch output
Not published
Context
Image or video
maximum output
Masks and tracking

Consult the primary source: the billing unit depends on the model type and access channel.

Open profile and sources →
DeepSeek · Text and reasoning

DeepSeek V3.2

Standard input
Not published
Standard output
Not published
Cached input
Not published
Batch input
Not published
Batch output
Not published
Context
128,000 tokens
maximum output
Not published

Consult the primary source: the billing unit depends on the model type and access channel.

Open profile and sources →
DeepSeek · Text and reasoning

DeepSeek R1

Standard input
Not published
Standard output
Not published
Cached input
Not published
Batch input
Not published
Batch output
Not published
Context
64,000 tokens in the original API
maximum output
Not published

Consult the primary source: the billing unit depends on the model type and access channel.

Open profile and sources →
Mistral AI · Text and reasoning

Mistral Small 4

Standard input
0,15 USD / 1 M tokens
Standard output
0,60 USD / 1 M tokens
Cached input
Not published
Batch input
Not published
Batch output
Not published
Context
256.000 tokens
maximum output
Not published

Consult the primary source: the billing unit depends on the model type and access channel.

Open profile and sources →
Mistral AI · Voice and audio

Voxtral TTS

Standard input
Not published
Standard output
Not published
Cached input
Not published
Batch input
Not published
Batch output
Not published
Context
Text and voice reference
maximum output
Streaming audio

Consult the primary source: the billing unit depends on the model type and access channel.

Open profile and sources →
Mistral AI · Vision and documents

Mistral OCR 4.1

Standard input
Not published
Standard output
Not published
Cached input
Not published
Batch input
Not published
Batch output
Not published
Context
Document or image
maximum output
Text and structure

Consult the primary source: the billing unit depends on the model type and access channel.

Open profile and sources →
Alibaba Qwen · Text and reasoning

Qwen3 235B A22B

Standard input
Not published
Standard output
Not published
Cached input
Not published
Batch input
Not published
Batch output
Not published
Context
128,000 tokens
maximum output
Not published

Consult the primary source: the billing unit depends on the model type and access channel.

Open profile and sources →
Alibaba Qwen · Code

Qwen3‑Coder 480B A35B

Standard input
Not published
Standard output
Not published
Cached input
Not published
Batch input
Not published
Batch output
Not published
Context
256,000 native tokens · up to 1M extended
maximum output
Not published

Consult the primary source: the billing unit depends on the model type and access channel.

Open profile and sources →
Microsoft · Multimodal

Phi‑4 Multimodal

Standard input
Not published
Standard output
Not published
Cached input
Not published
Batch input
Not published
Batch output
Not published
Context
128,000 tokens
maximum output
Not published

Consult the primary source: the billing unit depends on the model type and access channel.

Open profile and sources →
Cohere · Embeddings

Cohere Embed 4

Standard input
Not published
Standard output
Not published
Cached input
Not published
Batch input
Not published
Batch output
Not published
Context
128,000 tokens
maximum output
256, 512, 1,024 or 1,536 dimensions

Consult the primary source: the billing unit depends on the model type and access channel.

Open profile and sources →
Cohere · Text and reasoning

Command R 08‑2024

Standard input
0,15 USD / 1 M tokens
Standard output
0,60 USD / 1 M tokens
Cached input
Not published
Batch input
Not published
Batch output
Not published
Context
128,000 tokens
maximum output
4,000 tokens

Consult the primary source: the billing unit depends on the model type and access channel.

Open profile and sources →
Stability AI · Image

Stable Diffusion 3.5 Large

Standard input
6.5 credits per generation
Standard output
Not published
Cached input
Not published
Batch input
Not published
Batch output
Not published
Context
Prompt of up to 10,000 characters
maximum output
1 MP image in API

Consult the primary source: the billing unit depends on the model type and access channel.

Open profile and sources →
Stability AI · Music

Stable Audio 3.0

Standard input
26 credits per generation
Standard output
Not published
Cached input
Not published
Batch input
Not published
Batch output
Not published
Context
Prompt and reference audio
maximum output
Up to 6 minutes of audio

Consult the primary source: the billing unit depends on the model type and access channel.

Open profile and sources →
ElevenLabs · Voice and audio

Eleven v3

Standard input
Not published
Standard output
Not published
Cached input
Not published
Batch input
Not published
Batch output
Not published
Context
5,000 characters per request
maximum output
Audio

Consult the primary source: the billing unit depends on the model type and access channel.

Open profile and sources →
ElevenLabs · Voice and audio

Scribe v2

Standard input
Not published
Standard output
Not published
Cached input
Not published
Batch input
Not published
Batch output
Not published
Context
Audio or video file
maximum output
Structured transcription

Consult the primary source: the billing unit depends on the model type and access channel.

Open profile and sources →
NVIDIA · Text and reasoning

NVIDIA Nemotron 3 Ultra

Standard input
Not published
Standard output
Not published
Cached input
Not published
Batch input
Not published
Batch output
Not published
Context
1,000,000 tokens
maximum output
Not published

Consult the primary source: the billing unit depends on the model type and access channel.

Open profile and sources →
NVIDIA · Text and reasoning

Nemotron Labs Dory 1.0 4B

Standard input
No published official API rate
Standard output
Self-hosted infrastructure cost
Cached input
Not published
Batch input
Not published
Batch output
Not published
Context
262,144 tokens
maximum output
Not published

Weights are available in BF16, MXFP8, NVFP4 and GGUF Q5_K_M under OpenMDW 1.1, with commercial and non-commercial use subject to its terms. We have not verified a hosted API tariff: numeric cost fields remain empty. Downloads do not remove hardware, memory, operating and security costs.

Open profile and sources →
Mistral AI · Time series

Timestral 5M

Standard input
No published official API rate
Standard output
Self-hosted infrastructure cost
Cached input
Not published
Batch input
Not published
Batch output
Not published
Context
32,768 time steps
maximum output
1,024 steps per pass · 21 quantiles

No public API tariff has been verified for these checkpoints. Downloads do not cover infrastructure or maintenance. License restrictions also apply to derivatives: review the official text before commercial deployment.

Open profile and sources →
Mistral AI · Time series

Timestral 28M

Standard input
No published official API rate
Standard output
Self-hosted infrastructure cost
Cached input
Not published
Batch input
Not published
Batch output
Not published
Context
32,768 time steps
maximum output
1,024 steps per pass · 21 quantiles

No public API tariff has been verified for these checkpoints. Downloads do not cover infrastructure or maintenance. License restrictions also apply to derivatives: review the official text before commercial deployment.

Open profile and sources →
Mistral AI · Time series

Timestral 123M

Standard input
No published official API rate
Standard output
Self-hosted infrastructure cost
Cached input
Not published
Batch input
Not published
Batch output
Not published
Context
32,768 time steps
maximum output
1,024 steps per pass · 21 quantiles

No public API tariff has been verified for these checkpoints. Downloads do not cover infrastructure or maintenance. License restrictions also apply to derivatives: review the official text before commercial deployment.

Open profile and sources →
Mistral AI · Time series

Timestral 209M

Standard input
No published official API rate
Standard output
Self-hosted infrastructure cost
Cached input
Not published
Batch input
Not published
Batch output
Not published
Context
32,768 time steps
maximum output
1,024 steps per pass · 21 quantiles

No public API tariff has been verified for these checkpoints. Downloads do not cover infrastructure or maintenance. License restrictions also apply to derivatives: review the official text before commercial deployment.

Open profile and sources →
Black Forest Labs · Image

FLUX 3 Image Klein

Standard input
No per-token price
Standard output
USD 0.008–0.036 / image
Cached input
Not published
Batch input
Not published
Batch output
Not published
Context
Up to ten reference images
maximum output
Up to 4K

The Distilled API charges per image: USD 0.008 at 768sq; 0.009 at 1K; 0.011 at 1.5K; 0.014 at 2K and 0.036 at 4K. No commercial Base endpoint has been verified. These are not token tariffs or local execution costs.

Open profile and sources →
Black Forest Labs · Image

FLUX 3 Image Klein Base

Standard input
No per-token price
Standard output
Self-hosted infrastructure cost
Cached input
Not published
Batch input
Not published
Batch output
Not published
Context
Up to ten reference images
maximum output
Up to 4K

The Distilled API charges per image: USD 0.008 at 768sq; 0.009 at 1K; 0.011 at 1.5K; 0.014 at 2K and 0.036 at 4K. No commercial Base endpoint has been verified. These are not token tariffs or local execution costs.

Open profile and sources →
Meta · Multimodal

Muse Spark Open

Standard input
Depends on the provider
Standard output
Depends on the provider
Cached input
Not published
Batch input
Not published
Batch output
Not published
Context
1,000,000 tokens
maximum output
Combined context: 1,000,000 tokens

No single tariff has been verified: hosted APIs belong to third-party providers. The guide states about 700 GB of GPU memory for NVFP4 and 2 TB for BF16. Downloads do not remove infrastructure, operations or safety-review costs.

Open profile and sources →
Liquid AI · Decisions

d1-ultra

Standard input
USD 0.042 / 1M tokens
Standard output
No output tokens
Cached input
Not published
Batch input
Not published
Batch output
Not published
Context
Not published
maximum output
Probabilities; no generated tokens

Official rate: USD 0.042 per million input tokens, with no output tokens. Each question bills the text and all images again. A 1,024 × 1,024 image uses 1,536 tokens under the published formula. Vercel and OpenRouter are announced as upcoming, not verified as available.

Open profile and sources →
Ai2 · Time series

HiRO-ACEv2

Standard input
No published official API rate
Standard output
Self-hosted infrastructure cost
Cached input
Not published
Batch input
Not published
Batch output
Not published
Context
Climate fields at 100 km; not a token window
maximum output
3 km fields at six-hour intervals

Weights under Apache 2.0, with no verified commercial endpoint or token pricing. Budget for infrastructure, scientific field storage and data preparation. Reported cost savings against X-SHiELD compare inference under Ai2’s protocol; they are not a dollar price or a guarantee for every deployment. The faster simplified version and new variables described as future work are not presented as available.

Open profile and sources →
xAI · Voice and audio

Grok Voice 3.0

Standard input
USD 0.08 / conversation minute
Standard output
USD 0.004 / text input
Cached input
Not published
Batch input
Not published
Batch output
Not published
Context
Context window not published
maximum output
Streaming audio and text; maximum not published

The official rate is USD 0.08 per conversation minute, equivalent to USD 4.80 per hour, and USD 0.004 per text input. Voice 2.0 pricing is unchanged. These are not rates per million tokens: numerical token-comparison fields remain empty. Separate transcription and speech-synthesis services use different units and are not imported into this profile.

Open profile and sources →
Microsoft · Text and reasoning

UserRepGen-4B

Standard input
No published official API rate
Standard output
Self-hosted infrastructure cost
Cached input
Not published
Batch input
Not published
Batch output
Not published
Context
8,192 prompt tokens; 9,216-token training sequence
maximum output
Up to 1,024 tokens in documented use

The model card declares an MIT licence for the model and retains Apache 2.0 for original Qwen assets. No commercial API or token rate has been verified. Open weights still require compute, memory and maintenance; the CPU smoke test is not a performance measurement. Pin a revision and review licences and permission to process conversations before deployment.

Open profile and sources →
Microsoft · Code

AesCode 8B

Standard input
No published official API rate
Standard output
Self-hosted infrastructure cost
Cached input
Not published
Batch input
Not published
Batch output
Not published
Context
24,576 tokens in the published evaluation
maximum output
12,000 tokens in the published evaluation

The weights declare Apache 2.0; the official repository's code uses MIT. These are different licenses for different artifacts. We have not verified a hosted commercial API or token prices: numeric fields remain empty. Budget for GPU, memory, rendering and operations. The reference-creation pipeline may use external image and vision providers whose costs and terms are not included in the checkpoint.

Open profile and sources →
Microsoft · Code

AesCode 32B

Standard input
No published official API rate
Standard output
Self-hosted infrastructure cost
Cached input
Not published
Batch input
Not published
Batch output
Not published
Context
24,576 tokens in the published evaluation
maximum output
12,000 tokens in the published evaluation

The weights declare Apache 2.0; the official repository's code uses MIT. These are different licenses for different artifacts. We have not verified a hosted commercial API or token prices: numeric fields remain empty. Budget for GPU, memory, rendering and operations. The reference-creation pipeline may use external image and vision providers whose costs and terms are not included in the checkpoint.

Open profile and sources →
Alibaba Qwen · Image

Qwen Image 2.1 Turbo

Standard input
No per-token price
Standard output
USD0.016 / image (Singapore)
Cached input
Not published
Batch input
Not published
Batch output
Not published
Context
Recommended prompt: up to 4,500 tokens
maximum output
API: 1 to 6 images

Official output-image price: USD0.016 in Singapore and USD0.014133 in Beijing, Hong Kong, Frankfurt, Virginia and Tokyo. These are not per-million-token prices; numeric token-cost fields remain empty. Downloads do not include GPU costs either. Quotas and concurrency depend on region and synchronous or asynchronous mode: confirm your account's operational limit before planning production.

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Mistral · Text classification

LIDstral Arabic

Standard input
No published official API rate
Standard output
Self-hosted infrastructure cost
Cached input
Not published
Batch input
Not published
Batch output
Not published
Context
Nonempty text after preprocessing
maximum output
Label and probabilities over 51 classes

The model card declares Apache 2.0, and the repository is public and ungated at this review. Its example still mentions a private download; we do not interpret that wording as an available commercial API. No hosted endpoint or per-token price has been verified. Self-hosting entails CPU, memory, storage and operational costs; pin the code revision before loading model files.

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Tencent · Multimodal

Youtu-Parsing-Omni

Standard input
No published official API rate
Standard output
Self-hosted infrastructure cost
Cached input
Not published
Batch input
Not published
Batch output
Not published
Context
65,536 tokens in the serving example
maximum output
Not published

No hosted commercial API or public per-token price has been verified for this checkpoint. Numeric cost fields remain empty. Self-hosting requires GPUs, dependencies and the provider's vLLM plugin; publicly available files remove neither costs nor territorial restrictions. Evaluation code is listed as awaiting publication, so full harness reproduction is not promised.

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Ai2 · Text and reasoning

Bwen 8B

Standard input
No published official API rate
Standard output
Self-hosted infrastructure cost
Cached input
Not published
Batch input
Not published
Batch output
Not published
Context
32,768 internal positions; variable byte length
maximum output
max_new_tokens counts bytes; maximum not published

We have not verified a commercial endpoint or an official per-token rate. Numeric cost fields remain empty: downloadable weights do not mean free inference. Budget for memory, compute and maintenance. The documentation uses Python 3.11, Transformers 4.57.3 and xlstm 2.0.4. Bwen and Bolmo Stage 1 declare Apache 2.0; Blama retains Llama 3 Community License, with its own conditions. Also review Ai2’s responsible use guidelines.

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Ai2 · Text and reasoning

Blama 8B

Standard input
No published official API rate
Standard output
Self-hosted infrastructure cost
Cached input
Not published
Batch input
Not published
Batch output
Not published
Context
8,192 internal positions; variable byte length
maximum output
max_new_tokens counts bytes; maximum not published

We have not verified a commercial endpoint or an official per-token rate. Numeric cost fields remain empty: downloadable weights do not mean free inference. Budget for memory, compute and maintenance. The documentation uses Python 3.11, Transformers 4.57.3 and xlstm 2.0.4. Bwen and Bolmo Stage 1 declare Apache 2.0; Blama retains Llama 3 Community License, with its own conditions. Also review Ai2’s responsible use guidelines.

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Ai2 · Text and reasoning

Bolmo 1B Stage 1

Standard input
No published official API rate
Standard output
Self-hosted infrastructure cost
Cached input
Not published
Batch input
Not published
Batch output
Not published
Context
4,096 internal positions; variable byte length
maximum output
max_new_tokens counts bytes; maximum not published

We have not verified a commercial endpoint or an official per-token rate. Numeric cost fields remain empty: downloadable weights do not mean free inference. Budget for memory, compute and maintenance. The documentation uses Python 3.11, Transformers 4.57.3 and xlstm 2.0.4. Bwen and Bolmo Stage 1 declare Apache 2.0; Blama retains Llama 3 Community License, with its own conditions. Also review Ai2’s responsible use guidelines.

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Ai2 · Text and reasoning

Bolmo 7B Stage 1

Standard input
No published official API rate
Standard output
Self-hosted infrastructure cost
Cached input
Not published
Batch input
Not published
Batch output
Not published
Context
65,536 internal positions; variable byte length
maximum output
max_new_tokens counts bytes; maximum not published

We have not verified a commercial endpoint or an official per-token rate. Numeric cost fields remain empty: downloadable weights do not mean free inference. Budget for memory, compute and maintenance. The documentation uses Python 3.11, Transformers 4.57.3 and xlstm 2.0.4. Bwen and Bolmo Stage 1 declare Apache 2.0; Blama retains Llama 3 Community License, with its own conditions. Also review Ai2’s responsible use guidelines.

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Ai2 · Text and reasoning

Bwen 8B Stage 1

Standard input
No published official API rate
Standard output
Self-hosted infrastructure cost
Cached input
Not published
Batch input
Not published
Batch output
Not published
Context
32,768 internal positions; variable byte length
maximum output
max_new_tokens counts bytes; maximum not published

We have not verified a commercial endpoint or an official per-token rate. Numeric cost fields remain empty: downloadable weights do not mean free inference. Budget for memory, compute and maintenance. The documentation uses Python 3.11, Transformers 4.57.3 and xlstm 2.0.4. Bwen and Bolmo Stage 1 declare Apache 2.0; Blama retains Llama 3 Community License, with its own conditions. Also review Ai2’s responsible use guidelines.

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Ai2 · Text and reasoning

Blama 8B Stage 1

Standard input
No published official API rate
Standard output
Self-hosted infrastructure cost
Cached input
Not published
Batch input
Not published
Batch output
Not published
Context
8,192 internal positions; variable byte length
maximum output
max_new_tokens counts bytes; maximum not published

We have not verified a commercial endpoint or an official per-token rate. Numeric cost fields remain empty: downloadable weights do not mean free inference. Budget for memory, compute and maintenance. The documentation uses Python 3.11, Transformers 4.57.3 and xlstm 2.0.4. Bwen and Bolmo Stage 1 declare Apache 2.0; Blama retains Llama 3 Community License, with its own conditions. Also review Ai2’s responsible use guidelines.

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Google · Text and reasoning

Gemini 4 Argon

Standard input
2,00 USD / 1 M tokens
Standard output
10.00 USD / 1 M tokens
Cached input
0,10 USD / 1 M tokens
Batch input
1.00 USD / 1 M tokens
Batch output
5.00 USD / 1 M tokens
Context
1,048,576 tokens shared by input, reasoning and output
maximum output
65,536 tokens by default; up to the remaining window with long decode

Introductory USD prices per million tokens through November 30, 2026: input 2, output 10 including thinking, and implicit caching 0.10. From December 1 they become 4, 20 and 0.20. Batch and Flex cost half the standard rates; Priority has different prices. Searches incur separate charges after the shared allowance. There is no free tier or access through Google AI Pro. Numeric fields reflect standard and Batch rates in effect when verified.

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Anthropic · Text and reasoning

Claude Haiku 5.5

Standard input
0.10 / 0.50 USD / 1 M tokens
Standard output
0.50 / 2.50 USD / 1 M tokens
Cached input
0.01 / 0.05 USD / 1 M tokens
Batch input
0.05 / 0.25 USD / 1 M tokens
Batch output
0.25 / 1.25 USD / 1 M tokens
Context
1,000,000 tokens
maximum output
128,000 tokens

Each pair of rates corresponds to prompts up to 100,000 tokens / over 100,000 tokens, including output and caching. Input: USD 0.10 / 0.50; output: USD 0.50 / 2.50 per million tokens. Batch discounts input and output by 50%. Caching distinguishes reads from five-minute or one-hour writes. Numeric fields represent only the short-prompt tier, not a long-context budget. Tools and regional conditions may add charges.

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Google · Image

Gemini Nano Banana 2.1

Standard input
1,50 USD / 1 M tokens
Standard output
0.0336 / 0.0504 / 0.113 USD per 1K / 2K / 4K image
Cached input
Not published
Batch input
0.75 USD / 1M tokens
Batch output
0.0168 / 0.0252 / 0.0567 USD per 1K / 2K / 4K image
Context
131,072 input tokens
maximum output
32,768 tokens; 1K, 2K and 4K images

Standard rates in USD per million tokens: input 1.50, output text and thinking 7.50, output images 30. Per-image amounts depend on resolution and exclude input, text and searches. Batch halves these rates; Google lists 0.0567 USD per 4K image in Batch. Searches share 5,000 free monthly requests with Gemini 3.x, then cost 14 USD per thousand queries. There is no free API tier. Numeric output fields are left empty to avoid mixing text and images.

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IBM · Time series

Granite Timeseries Ensemble R1

Standard input
No published official API rate
Standard output
Self-hosted infrastructure cost
Cached input
Not published
Batch input
Not published
Batch output
Not published
Context
Depends on each member model
maximum output
Nine quantiles from 0.1 to 0.9; median as the point forecast

The identifier refers to a downloadable recipe, not a verified commercial API endpoint. There is no official per-token rate; keep cost unknown and budget for infrastructure. The recipe and implementation are Apache 2.0, but each checkpoint retains its own license. The expanded recipes include IBM Research members under separate, potentially non-commercial terms.

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Aleph Alpha · Text and reasoning

Kolibri 1

Standard input
No published official API rate
Standard output
Self-hosted infrastructure cost
Cached input
Not published
Batch input
Not published
Batch output
Not published
Context
1,048,576 tokens; recommended ≤262,144
maximum output
Not published

No official public per-token rate or commercially hosted endpoint has been verified. Downloading permissively licensed weights does not make inference free: budget for GPUs, memory, storage, operations and power. Aleph-Alpha/Kolibri-1 is the repository and self-hosted server identifier in the official example, not a promise of availability on a third-party API.

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Alibaba Qwen · Image

Qwen Image 2.1 Pro

Standard input
Not published
Standard output
0.04 USD / image (Singapore)
Cached input
Not published
Batch input
Not published
Batch output
Not published
Context
Not published
maximum output
Not published

Official price per output image: 0.04 USD in Singapore and 0.035333 USD in Beijing, Hong Kong, Frankfurt, Virginia and Tokyo. Singapore's free quota is ten images and is subject to conditions. This is not a per-token rate; check regional prices and availability before budgeting.

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Cohere · Embeddings

Cohere Embed 5 Pro

Standard input
0.12 USD / 1M tokens
Standard output
Not published
Cached input
Not published
Batch input
Not published
Batch output
Not published
Context
128,000 tokens
maximum output
256, 512, 768, 1,024, 1,536 or 2,048 dimensions

Text costs 0.12 USD per million tokens for Pro and 0.08 USD for Fast; images cost 0.40 USD for both. Model Vault costs depend on the instance. No Batch discount has been verified.

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Cohere · Embeddings

Cohere Embed 5 Fast

Standard input
0.08 USD / 1M tokens
Standard output
Not published
Cached input
Not published
Batch input
Not published
Batch output
Not published
Context
128,000 tokens
maximum output
256, 512, 768, 1,024, 1,536 or 2,048 dimensions

Text costs 0.12 USD per million tokens for Pro and 0.08 USD for Fast; images cost 0.40 USD for both. Model Vault costs depend on the instance. No Batch discount has been verified.

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OpenAI · Text and reasoning

GPT‑6.1 Sol

Standard input
2,00 USD / 1 M tokens
Standard output
10.00 USD / 1 M tokens
Cached input
0,10 USD / 1 M tokens
Batch input
1.00 USD / 1 M tokens
Batch output
5.00 USD / 1 M tokens
Context
1,050,000 tokens · maximum 922,000 input tokens
maximum output
128,000 tokens

Standard prices apply up to 272,000 input tokens. Above that threshold, the entire request costs twice as much for input and cache and 50% more for output. Fast costs twice as much; Batch and Flex reduce prices by 50%. Regional processing adds 10% where available.

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Anthropic · Text and reasoning

Claude Opus 5.5

Standard input
4,00 USD / 1 M tokens
Standard output
20,00 USD / 1 M tokens
Cached input
0,20 USD / 1 M tokens
Batch input
Not published
Batch output
Not published
Context
1,000,000 tokens
maximum output
128,000 tokens

Consult the primary source before budgeting for a deployment.

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Anthropic · Text and reasoning

Claude Sonnet 5.5

Standard input
2,00 USD / 1 M tokens
Standard output
10.00 USD / 1 M tokens
Cached input
0,10 USD / 1 M tokens
Batch input
Not published
Batch output
Not published
Context
1,000,000 tokens
maximum output
128,000 tokens

Since October 7, 2026, cache reads cost USD 0.10 per million tokens, previously 0.20. Standard input and output remain USD 2.00 and 10.00; Batch remains 1.00 and 5.00. Cache writes cost USD 2.50 for five minutes or 4.00 for one hour. Total savings depend on the share of cached tokens and tools; this is not a fixed discount on every task.

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xAI · Text and reasoning

Grok 4.7

Standard input
2,00 USD / 1 M tokens
Standard output
6,00 USD / 1 M tokens
Cached input
0.50 USD / 1 M tokens
Batch input
Not published
Batch output
Not published
Context
500.000 tokens
maximum output
No published text limit

Requests exceeding 200.000 tokens are charged at a higher pricing tier.

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xAI · Voice and audio

Grok Voice Transcribe 2.0

Standard input
Not published
Standard output
Not published
Cached input
Not published
Batch input
Not published
Batch output
Not published
Context
Audio via file or streaming
maximum output
Transcription

Consult the primary source before budgeting for a deployment.

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Google · Voice and audio

Gemini 3.8 Live

Standard input
Not published
Standard output
Not published
Cached input
Not published
Batch input
Not published
Batch output
Not published
Context
131,072 tokens
maximum output
65.536 tokens

Consult the primary source before budgeting for a deployment.

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Google · Voice and audio

Gemini 3.8 Live Extended Thinking

Standard input
Not published
Standard output
Not published
Cached input
Not published
Batch input
Not published
Batch output
Not published
Context
131,072 tokens
maximum output
65.536 tokens

Consult the primary source before budgeting for a deployment.

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Alibaba Qwen · Text and reasoning

Qwen3.8-Max

Standard input
Not published
Standard output
Not published
Cached input
Not published
Batch input
Not published
Batch output
Not published
Context
1,000,000 tokens
maximum output
Not published

Consult the primary source before budgeting for a deployment.

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Alibaba Qwen · Text and reasoning

Qwen3.8-Flash

Standard input
Not published
Standard output
Not published
Cached input
Not published
Batch input
Not published
Batch output
Not published
Context
1,000,000 tokens
maximum output
128,000 tokens

Consult the primary source before budgeting for a deployment.

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Alibaba Qwen · Multimodal

Qwen3.8-Omni-Flash

Standard input
Not published
Standard output
Not published
Cached input
Not published
Batch input
Not published
Batch output
Not published
Context
Not published
maximum output
Not published

Consult the primary source before budgeting for a deployment.

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Alibaba Qwen · Voice and audio

Qwen3.8-Omni-Flash-Realtime

Standard input
Not published
Standard output
Not published
Cached input
Not published
Batch input
Not published
Batch output
Not published
Context
196.608 input tokens
maximum output
Not published

Consult the primary source before budgeting for a deployment.

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ElevenLabs · Voice and audio

Eleven v4

Standard input
Not published
Standard output
Not published
Cached input
Not published
Batch input
Not published
Batch output
Not published
Context
Voiceover text
maximum output
Audio

Consult the primary source before budgeting for a deployment.

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ElevenLabs · Voice and audio

Eleven v4 Turbo

Standard input
Not published
Standard output
Not published
Cached input
Not published
Batch input
Not published
Batch output
Not published
Context
Voiceover text
maximum output
Streaming audio

Consult the primary source before budgeting for a deployment.

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Z.AI · Code

GLM‑5.3

Standard input
Not published
Standard output
Not published
Cached input
Not published
Batch input
Not published
Batch output
Not published
Context
1,000,000 tokens
maximum output
128,000 tokens

Consult the primary source before budgeting for a deployment.

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Z.AI · Multimodal

GLM‑5.3‑Flash

Standard input
Not published
Standard output
Not published
Cached input
Not published
Batch input
Not published
Batch output
Not published
Context
1,000,000 tokens
maximum output
Not published

Consult the primary source before budgeting for a deployment.

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Alibaba Qwen · Image

Qwen Image 3.0 Pro

Standard input
Not published
Standard output
Not published
Cached input
Not published
Batch input
Not published
Batch output
Not published
Context
4,500 input tokens
maximum output
Up to 6 images · 2,048 × 2,048 pixels

Consult the primary source before budgeting for a deployment.

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Alibaba Qwen · Video

Wan 3.0 Video Prime

Standard input
Not published
Standard output
Not published
Cached input
Not published
Batch input
Not published
Batch output
Not published
Context
Multimodal references
maximum output
Videos up to 30 seconds · 1080p

Consult the primary source before budgeting for a deployment.

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Cost per task

Includes retries, tooling, recovery, cache, and human review.

Operating limit

Account and region limits may differ from the theoretical capacity of the model.

Missing data

The absence is retained as relevant information, not as a zero.

What is missing from the per-token price

A low rate can end up being expensive if the workflow repeats work or requires extensive oversight.

01

Reasoning and length

Internal or thinking tokens are usually billed as output and depend on difficulty and the configured effort.

02

Tools and grounding

Search, maps, code execution, and other tools may have per-call pricing in addition to tokens.

03

Caching and batches

Repeated prefixes and asynchronous processing reduce cost, but require designing the workflow to take advantage of them.

04

Cost of error

Measure retries, human validation, incidents, and recovery: they are part of the total operating cost.

ANALYSIS

Related analysis

Claude Opus 5.5 in production: how to estimate cost per task
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Claude Opus 5.5 in production: how to estimate cost per task

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Comparing a per-call or per-use price is not enough. To determine whether Embed 4 is worthwhile for a particular corpus, first verify the commercial terms for the access channel, then measure quality using queries and relevance criteria defined in advance.

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A template for estimating tool-workflow costs by round, separating input and output tokens from additional charges, and checking the calculation against usage logs.

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A price per million tokens is not enough to budget a multi-step workflow. Learn how to add up input, output, cache, retries, and review, and set limits before you run it.

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Claude Haiku 4.5: How to Calculate Cost per Usable Response

The price per call does not, by itself, show how much an accepted response costs. This guide provides a reproducible formula for adding input and output tokens, retries, and review, with three illustrative scenarios for Claude Haiku 4.5.

23 Sep 2026
Claude Fable 5.1: when caching and batch processing reduce cost per task—and when they only shift the bill
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Claude Fable 5.1: when caching and batch processing reduce cost per task—and when they only shift the bill

The price per million tokens is not enough to choose between a standard call, instruction caching, or batch processing. This guide provides a cost model per correctly completed task for Claude Fable 5.1, including formulas, scenarios, and minimum telemetry. The outcome depends on reusing context before it expires, controlling retries, and accepting—or not—the asynchronous timeline of Batch API.

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