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Favicon for mistralai

Mistral: Mistral Small 3

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

Model weights
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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.(opens in new tab)

Modalities

In / Out Price

$0.05 / $0.08per 1M

Context

33K

Released

Jan 30, 2025

Knowledge Cutoff

Oct 2023

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ProvidersPricingPerformanceUptimeBenchmarksAppsActivityFAQ

Providers

This model is hosted by one provider. OpenRouter forwards every request to it directly — no routing decisions to make.

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.

Performance

Throughput is how fast the model writes (tokens per second — higher is better). Latency is total round-trip time (lower is better). TTFT is time-to-first-token — how long before you see anything appear (lower is better).

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.

Benchmarks

Scores on standardized evaluations. Higher percentages are better — and rank percentile shows where this model lands among all models on OpenRouter.

Apps

Public apps that send the most traffic to this model. Good signal for what real production workloads look like — and a hint at which use cases this model is best suited for.

Activity

Token volume and request traffic to this model over time.

Quick Start

Drop-in code to call this model. OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. The only thing that changes between models is the model slug below.

About Mistral: Mistral Small 3

OpenRouter makes Mistral: Mistral Small 3 by Mistral AI available through a unified, OpenAI-compatible API using the model ID mistralai/mistral-small-24b-instruct-2501. It is served by DeepInfra.

Mistral: Mistral Small 3 accepts text and returns text. It has a 32,768-token context window and a maximum output of 16,384 tokens.

On OpenRouter, Mistral: Mistral Small 3 costs $0.05/M input tokens and $0.08/M output tokens. It was released on January 30, 2025; its knowledge cutoff is October 31, 2023.

More models from Mistral AI

  • Voxtral Small 24B 2507 STT
  • Voxtral Mini 3B 2507
  • Voxtral Mini Transcribe

Frequently asked questions

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.

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

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

The Mistral Small 3 endpoint shown on this page does not accept tools, so function calling is unavailable there. It also supports structured outputs via a JSON schema in response_format.

Mistral Medium 3.5, Mistral Small 4, Ministral 3 14B 2512 and 14 more are other text models from Mistral AI.

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

$0.05$0.080.18s41 tps
99.98%

Throughput

41tok/s

P50, best across providers

Latency

0.18s

P50, best provider

Uptime (3d)

100.00%

Availability (3d)

97.22%

Availability over the last 3 days

Last 72 hours
Availability 97.22%
3 Days Ago2 Days AgoYesterdayNow

Availability over the last 24 hours

OpenRouter Availability
95.28%

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 customization options.

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