Mistral Small 3

Mistral Small 3

Mistraltext

API Available

Specifications

Context Window

Input Price/1M

$0.07

Output Price/1M

$0.19

Parameters

Speed

154 tok/s

Latency (TTFT)

481ms

Benchmarks

Mistral Small 3 results on the main AI model evaluation benchmarks. Higher scores indicate better performance.

Coding

BenchmarkScoreMaximumMethodology
LiveCodeBench25.0100.0Artificial Analysis official API
SciCode24.0100.0

Knowledge

BenchmarkScoreMaximumMethodology
MMLU-Pro65.0100.0

Long Context

BenchmarkScoreMaximumMethodology
AA-LCR0.0100.0

Math

BenchmarkScoreMaximumMethodology
MATH-50071.5100.0Artificial Analysis official API
AA Math Index4.3100.0Artificial Analysis official API
AIME 20254.0100.0Artificial Analysis official API

overall

BenchmarkScoreMaximumMethodology
AA Intelligence Index12.7100.0Artificial Analysis official API

Reasoning

BenchmarkScoreMaximumMethodology
MMLU Pro65.2100.0Artificial Analysis official API
GPQA Diamond46.0100.0Artificial Analysis official API
IFBench26.0100.0
HLE4.0100.0

Tool Use

BenchmarkScoreMaximumMethodology
Tau²-Bench20.0100.0

Information

Release date
January 30, 2025
Tool Calling
❌ Not supported
Vision
❌ Not supported
Audio
❌ Not supported

Full Analysis: Mistral Small 3

What is Mistral Small 3?

Mistral Small 3 is an AI model developed by Mistral, classified as a text model. It focuses on text processing and natural language generation. As a proprietary model, it is available via Mistral's cloud API.

Pricing & Costs in 2026

Mistral Small 3 is usage-based, priced at $0.075/1M input tokens and $0.19/1M output tokens. For context: 1 million tokens is approximately 750,000 words, or about 10 average-length books. At this aggressive price point, it is one of the most cost-effective options on the market, ideal for high-volume applications like chatbots, bulk document analysis, and automation.

Benchmarks & Performance

Mistral Small 3 was evaluated on 13 different benchmarks, covering categories like Coding, Knowledge, Long Context, Math, overall, Reasoning, Tool Use. Results show moderate performance across available evaluations.

It's important to note that benchmarks measure specific aspects and don't capture the full user experience. Factors like instruction adherence, behavior in long conversations, and real-world task quality vary significantly between models and aren't always reflected in standard scores.

Recommended Use Cases

Mistral Small 3 specializes in text, offering advanced capabilities for creating and processing text content.

Comparison with Alternatives

In the 2026 AI model ecosystem, Mistral Small 3 competes directly with similarly capable models. Mistral competes in this segment against OpenAI, Anthropic, Google, and Meta. The choice between models depends on the specific use case, budget, latency requirements, and need for features like multimodality and tool calling.

For a detailed side-by-side comparison, use our comparison tool or check the overall model ranking.

Frequently Asked Questions

What is Mistral Small 3?

Mistral Small 3 is an AI model developed by Mistral. It is a text model.

How much does Mistral Small 3 cost?

Mistral Small 3 costs $0.075/1M input tokens and $0.19/1M output tokens. For heavy usage (e.g., a chatbot handling 100k messages/month), costs can range from $10 to $1,000 depending on volume.

How does Mistral Small 3 compare with other models?

In available benchmarks, Mistral Small 3 scored: LiveCodeBench: 25/100, SciCode: 24/100, MMLU-Pro: 65/100. See the full table above for a detailed comparison.

Is Mistral Small 3 open source?

No, Mistral Small 3 is a proprietary model from Mistral. It is available via cloud API. For open source alternatives, check our open source model ranking.

What is Mistral Small 3 best for?

Mistral Small 3 excels at general-purpose language tasks.

Last updated: June 01, 2026 View methodology →