Model Comparison

Claude 3 Haiku vs Mistral Small 3.1 24B Instruct

Mistral Small 3.1 24B Instruct significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

Claude 3 Haiku outperforms in 0 benchmarks, while Mistral Small 3.1 24B Instruct is better at 4 benchmarks (GPQA, HumanEval, MATH, MMLU).

Mistral Small 3.1 24B Instruct significantly outperforms across most benchmarks.

Thu May 07 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only Claude 3 Haiku specifies input context (200,000 tokens). Only Claude 3 Haiku specifies output context (200,000 tokens).

Anthropic
Claude 3 Haiku
Input200,000 tokens
Output200,000 tokens
Mistral AI
Mistral Small 3.1 24B Instruct
Input- tokens
Output- tokens
Thu May 07 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Claude 3 Haiku and Mistral Small 3.1 24B Instruct support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Claude 3 Haiku

Text
Images
Audio
Video

Mistral Small 3.1 24B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Claude 3 Haiku is licensed under a proprietary license, while Mistral Small 3.1 24B Instruct uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

Claude 3 Haiku

Proprietary

Closed source

Mistral Small 3.1 24B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Claude 3 Haiku was released on 2024-03-13, while Mistral Small 3.1 24B Instruct was released on 2025-03-17.

Mistral Small 3.1 24B Instruct is 12 months newer than Claude 3 Haiku.

Claude 3 Haiku

Mar 13, 2024

2.2 years ago

Mistral Small 3.1 24B Instruct

Mar 17, 2025

1.1 years ago

1.0yr newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

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Key Takeaways

Anthropic
Larger context window (200,000 tokens)
Mistral AI
Has open weights
Higher GPQA score (46.0% vs 33.3%)
Higher HumanEval score (88.4% vs 75.9%)
Higher MATH score (69.3% vs 38.9%)
Higher MMLU score (80.6% vs 75.2%)

Detailed Comparison

AI Model Comparison Table
Feature
Anthropic
Claude 3 Haiku
Mistral AI
Mistral Small 3.1 24B Instruct

FAQ

Common questions about Claude 3 Haiku vs Mistral Small 3.1 24B Instruct.

Which is better, Claude 3 Haiku or Mistral Small 3.1 24B Instruct?

Mistral Small 3.1 24B Instruct significantly outperforms across most benchmarks. Claude 3 Haiku is made by Anthropic and Mistral Small 3.1 24B Instruct is made by Mistral AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Claude 3 Haiku compare to Mistral Small 3.1 24B Instruct in benchmarks?

Claude 3 Haiku scores ARC-C: 89.2%, GSM8k: 88.9%, HellaSwag: 85.9%, DROP: 78.4%, HumanEval: 75.9%. Mistral Small 3.1 24B Instruct scores HumanEval: 88.4%, MMLU: 80.6%, TriviaQA: 80.5%, MBPP: 74.7%, MATH: 69.3%.

What are the context window sizes for Claude 3 Haiku and Mistral Small 3.1 24B Instruct?

Claude 3 Haiku supports 200K tokens and Mistral Small 3.1 24B Instruct supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Claude 3 Haiku and Mistral Small 3.1 24B Instruct?

Key differences include licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Claude 3 Haiku and Mistral Small 3.1 24B Instruct?

Claude 3 Haiku is developed by Anthropic and Mistral Small 3.1 24B Instruct is developed by Mistral AI.