How much does Mistral Small 3 cost?

Mistral Small 3 costs $0.05/M input tokens and $0.08/M output tokens.

What is the context length of Mistral Small 3?

Mistral Small 3 has a 32,768 token context window. It supports up to 16,384 completion tokens.

Does Mistral Small 3 support tool calling and structured outputs?

No. Mistral Small 3 does not accept tools, so function calling is unavailable. It also supports structured outputs via a JSON schema in response_format.

Which providers serve Mistral Small 3?

Mistral Small 3 is served by 1 provider on OpenRouter: DeepInfra.

What other text models does Mistral have?

Mistral Large 4, Mistral Medium 3.5, Mistral Small 4 and 16 more are other text models from Mistral.

When was Mistral Small 3 released?

Mistral Small 3 was released on January 30, 2025. Its knowledge cutoff is October 31, 2023.

Mistral: Mistral Small 3

mistralai/mistral-small-24b-instruct-2501

Model weights

Compare

Mistral Small 3 is a 24B-parameter language model optimized for low-latency performance across common AI tasks. Released under the Apache 2.0 license, it features both pre-trained and instruction-tuned versions designed for efficient local deployment.

The model achieves 81% accuracy on the MMLU benchmark and performs competitively with larger models like Llama 3.3 70B and Qwen 32B, while operating at three times the speed on equivalent hardware. Read the blog post about the model here.

Modalities

In / out price

$0.05 / $0.08per 1M

Context

33K

Released

Jan 30, 2025

Knowledge cutoff

Oct 2023

Providers

Different companies host the same model. OpenRouter routes your request to one of them based on the routing mode you pick: Balanced (price + speed), Nitro (fastest), or Floor (cheapest).

Latency / throughput


	$0.05	$0.08	0.32s	63 tok/s	99.87%
Not used in Standard routing:Why these endpoints are not used
Flex	$0.04	$0.064	--	--	--

Input $0.05Output $0.08
63 tok/s99.87% uptime
Not used in Standard routing:Why these endpoints are not used
Input $0.04Output $0.064
Flex
-- tok/s-- uptime

Pricing

The average price customers actually pay for this model, next to the prices providers post. Caching and discounts mean the price actually paid is often well below the listed one.

Weighted average

Input

$0.04975/M tokens

Output

$0.07826/M tokens

Mistral Small 3 — Price history

Price history

No effective price data for this selection

		$0.0497	$0.0783	0.0%	100.0%
Not used in Standard routing:Why these endpoints are not used
	Flex	$0.0398	$0.0613	0.0%	0.0%

Effective in $0.0497Effective out $0.0783
Token share
100.0%
Not used in Standard routing:Why these endpoints are not used
Effective in $0.0398Effective out $0.0613
FlexToken share
0.0%

Uptime

Uptime is the percentage of the past 3 days that at least one provider was responding to requests. Availability is the percentage of time that inference was successfully served. OpenRouter continuously monitors and uses the next-best provider when one returns an error.

Uptime (3d)

100.00%

Availability (3d)

98.68%

Availability over the last 3 days

Last 72 hours

Availability 98.68%

3 Days Ago2 Days AgoYesterdayNow

Availability over the last 24 hours

OpenRouter Availability

98.25%

When an error occurs in an upstream provider, we can recover by routing to another healthy provider, if your request filters allow it. You can access per-provider uptime data programmatically through the Endpoints API. Learn more about our load balancing and provider routing options.

Benchmarks

Scores on standardized evaluations and this model’s own outputs on shared benchmark prompts. Higher percentages are better — and each rank shows where this model lands among the models evaluated on that source.

Benchmark score summary for Mistral: Mistral Small 3 (Artificial Analysis)
Source	Benchmark	Score
Artificial Analysis	Mistral Small 3 GPQA Diamond	46.2%
Artificial Analysis	Mistral Small 3 HLE	3.8%
Artificial Analysis	Mistral Small 3 IFBench	26.4%
Artificial Analysis	Mistral Small 3 τ²-Bench Telecom	19.6%
Artificial Analysis	Mistral Small 3 AA-LCR	0.0%
Artificial Analysis	Mistral Small 3 LiveCodeBench	25.2%
Artificial Analysis	Mistral Small 3 MMLU-Pro	65.2%
Artificial Analysis	Mistral Small 3 AIME 2025	4.3%
Artificial Analysis	Mistral Small 3 AIME	8.0%
Artificial Analysis	Mistral Small 3 MATH-500	71.5%

Not currently available through EU in-region routing. In-region routing docs

More models from Mistral

Voxtral TTS 3

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Voxtral Small Transcribe 3

Voxtral Small Transcribe 3 is Mistral's flagship speech-to-text model. It takes audio input and returns a transcript with timestamps and speaker diarization, and supports context biasing for domain-specific vocabulary. Suited for high-accuracy multilingual transcription of meetings, interviews, media, and support calls.

Transcription$0.000067/second

Voxtral Mini Transcribe 3

Voxtral Mini Transcribe 3 is Mistral's compact speech-to-text model. It takes audio input and returns a transcript with timestamps and speaker diarization. It also supports context biasing for domain terms. It is small enough to self-deploy in resource-constrained environments, and fits meeting notes, call analytics, and voice-agent pipelines where cost matters.

Transcription$0.000058/second

Mistral Large 4

Mistral Large 4 is a frontier multimodal (text and image input) model from Mistral AI built for reasoning, coding, and agentic workloads. It offers a 1M-token context window with up to 256K output tokens, and supports tool calling and structured outputs.

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Voxtral Mini 3B 2507

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Transcription$0.000017/second

Voxtral Mini Transcribe

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Mistral Medium 3.5

Mistral Medium 3.5 is a dense 128B instruction-following model from Mistral AI. It supports text and image inputs with text output, and is designed for agentic workflows, coding, and complex multi-step reasoning. It is particularly strong at reliable multi-tool calling and long-horizon tasks, with a 256K context window, configurable reasoning effort per request, and a custom vision encoder that handles variable image sizes and aspect ratios. Self-hostable on as few as four GPUs and available under open weights.

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Mistral Medium 3.5 (batch)

Text262K context$0.75 / $3.75

Voxtral Mini TTS

Voxtral Mini TTS is Mistral's text-to-speech model featuring zero-shot voice cloning and multilingual support. It converts text input into natural-sounding audio output.

Speech$16/M characters

Mistral Small 4

Mistral Small 4 is the next major release in the Mistral Small family, unifying the capabilities of several flagship Mistral models into a single system. It combines strong reasoning from Magistral, multimodal understanding from Pixtral, and agentic coding capabilities from Devstral, enabling one model to handle complex analysis, software development, and visual tasks within the same workflow.

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Text262K context$0.40 / $2

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Mistral Embed is a specialized embedding model for text data, optimized for semantic search and RAG applications. Developed by Mistral AI in late 2023, it produces 1024-dimensional vectors that effectively capture semantic relationships in text.

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Codestral Embed 2505

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Voxtral Small 24B 2507

Voxtral Small is an enhancement of Mistral Small 3, incorporating state-of-the-art audio input capabilities while retaining best-in-class text performance. It excels at speech transcription, translation and audio understanding. Input audio is priced at $100 per million seconds.

Text33K context$0.10 / $0.30

Mistral: Mistral Small 3

Providers