Model Comparison

Claude 3.5 Haiku vs Mistral Small 3.1 24B Instruct

Mistral Small 3.1 24B Instruct shows notably better performance in the majority of benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

Claude 3.5 Haiku outperforms in 1 benchmarks (MATH), while Mistral Small 3.1 24B Instruct is better at 3 benchmarks (GPQA, HumanEval, MMLU-Pro).

Mistral Small 3.1 24B Instruct shows notably better performance in the majority of benchmarks.

Tue May 12 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only Claude 3.5 Haiku specifies input context (200,000 tokens). Only Claude 3.5 Haiku specifies output context (200,000 tokens).

Anthropic
Claude 3.5 Haiku
Input200,000 tokens
Output200,000 tokens
Mistral AI
Mistral Small 3.1 24B Instruct
Input- tokens
Output- tokens
Tue May 12 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Mistral Small 3.1 24B Instruct supports multimodal inputs, whereas Claude 3.5 Haiku does not.

Mistral Small 3.1 24B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.

Claude 3.5 Haiku

Text
Images
Audio
Video

Mistral Small 3.1 24B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Claude 3.5 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 3.5 Haiku

Proprietary

Closed source

Mistral Small 3.1 24B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Claude 3.5 Haiku was released on 2024-10-22, while Mistral Small 3.1 24B Instruct was released on 2025-03-17.

Mistral Small 3.1 24B Instruct is 5 months newer than Claude 3.5 Haiku.

Claude 3.5 Haiku

Oct 22, 2024

1.6 years ago

Mistral Small 3.1 24B Instruct

Mar 17, 2025

1.2 years ago

4mo 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)
Higher MATH score (69.4% vs 69.3%)
Mistral AI
Supports multimodal inputs
Has open weights
Higher GPQA score (46.0% vs 41.6%)
Higher HumanEval score (88.4% vs 88.1%)
Higher MMLU-Pro score (66.8% vs 65.0%)

Detailed Comparison

AI Model Comparison Table
Feature
Anthropic
Claude 3.5 Haiku
Mistral AI
Mistral Small 3.1 24B Instruct

FAQ

Common questions about Claude 3.5 Haiku vs Mistral Small 3.1 24B Instruct.

Which is better, Claude 3.5 Haiku or Mistral Small 3.1 24B Instruct?

Mistral Small 3.1 24B Instruct shows notably better performance in the majority of benchmarks. Claude 3.5 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 3.5 Haiku compare to Mistral Small 3.1 24B Instruct in benchmarks?

Claude 3.5 Haiku scores HumanEval: 88.1%, MGSM: 85.6%, DROP: 83.1%, MATH: 69.4%, MMLU-Pro: 65.0%. 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 3.5 Haiku and Mistral Small 3.1 24B Instruct?

Claude 3.5 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 3.5 Haiku and Mistral Small 3.1 24B Instruct?

Key differences include multimodal support (no vs yes), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Claude 3.5 Haiku and Mistral Small 3.1 24B Instruct?

Claude 3.5 Haiku is developed by Anthropic and Mistral Small 3.1 24B Instruct is developed by Mistral AI.