Model Comparison

Gemini 2.0 Flash vs Mistral Small 3.1 24B Instruct

Gemini 2.0 Flash significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

Gemini 2.0 Flash outperforms in 4 benchmarks (GPQA, MATH, MMLU-Pro, MMMU), while Mistral Small 3.1 24B Instruct is better at 0 benchmarks.

Gemini 2.0 Flash significantly outperforms across most benchmarks.

Sat May 30 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only Gemini 2.0 Flash specifies input context (1,048,576 tokens). Only Gemini 2.0 Flash specifies output context (8,192 tokens).

Google
Gemini 2.0 Flash
Input1,048,576 tokens
Output8,192 tokens
Mistral AI
Mistral Small 3.1 24B Instruct
Input- tokens
Output- tokens
Sat May 30 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemini 2.0 Flash and Mistral Small 3.1 24B Instruct support multimodal inputs.

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

Gemini 2.0 Flash

Text
Images
Audio
Video

Mistral Small 3.1 24B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 2.0 Flash 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.

Gemini 2.0 Flash

Proprietary

Closed source

Mistral Small 3.1 24B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemini 2.0 Flash was released on 2024-12-01, while Mistral Small 3.1 24B Instruct was released on 2025-03-17.

Mistral Small 3.1 24B Instruct is 4 months newer than Gemini 2.0 Flash.

Gemini 2.0 Flash

Dec 1, 2024

1.5 years ago

Mistral Small 3.1 24B Instruct

Mar 17, 2025

1.2 years ago

3mo newer

Knowledge Cutoff

When training data ends

Gemini 2.0 Flash has a documented knowledge cutoff of 2024-08-01, while Mistral Small 3.1 24B Instruct's cutoff date is not specified.

We can confirm Gemini 2.0 Flash's training data extends to 2024-08-01, but cannot make a direct comparison without Mistral Small 3.1 24B Instruct's cutoff date.

Gemini 2.0 Flash

Aug 2024

Mistral Small 3.1 24B Instruct

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Outputs Comparison

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Key Takeaways

Google
Larger context window (1,048,576 tokens)
Higher GPQA score (62.1% vs 46.0%)
Higher MATH score (89.7% vs 69.3%)
Higher MMLU-Pro score (76.4% vs 66.8%)
Higher MMMU score (70.7% vs 59.3%)
Mistral AI
Has open weights
GoogleGemini 2.0 Flash
Mistral AIMistral Small 3.1 24B Instruct
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Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 2.0 Flash
Mistral AI
Mistral Small 3.1 24B Instruct

FAQ

Common questions about Gemini 2.0 Flash vs Mistral Small 3.1 24B Instruct.

Which is better, Gemini 2.0 Flash or Mistral Small 3.1 24B Instruct?

Gemini 2.0 Flash significantly outperforms across most benchmarks. Gemini 2.0 Flash is made by Google 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 Gemini 2.0 Flash compare to Mistral Small 3.1 24B Instruct in benchmarks?

Gemini 2.0 Flash scores Natural2Code: 92.9%, MATH: 89.7%, FACTS Grounding: 83.6%, MMLU-Pro: 76.4%, EgoSchema: 71.5%. 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 Gemini 2.0 Flash and Mistral Small 3.1 24B Instruct?

Gemini 2.0 Flash supports 1.0M 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 Gemini 2.0 Flash 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 Gemini 2.0 Flash and Mistral Small 3.1 24B Instruct?

Gemini 2.0 Flash is developed by Google and Mistral Small 3.1 24B Instruct is developed by Mistral AI.