Model Comparison

Gemini 2.5 Flash vs Mistral Small 3.2 24B Instruct

Gemini 2.5 Flash significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Gemini 2.5 Flash outperforms in 3 benchmarks (GPQA, MMMU, SimpleQA), while Mistral Small 3.2 24B Instruct is better at 0 benchmarks.

Gemini 2.5 Flash significantly outperforms across most benchmarks.

Mon Apr 20 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Mon Apr 20 2026 • llm-stats.com
Google
Gemini 2.5 Flash
Input tokens$0.30
Output tokens$2.50
Best providerGoogle
Mistral AI
Mistral Small 3.2 24B Instruct
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
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Context Window

Maximum input and output token capacity

Only Gemini 2.5 Flash specifies input context (1,048,576 tokens). Only Gemini 2.5 Flash specifies output context (65,536 tokens).

Google
Gemini 2.5 Flash
Input1,048,576 tokens
Output65,536 tokens
Mistral AI
Mistral Small 3.2 24B Instruct
Input- tokens
Output- tokens
Mon Apr 20 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemini 2.5 Flash and Mistral Small 3.2 24B Instruct support multimodal inputs.

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

Gemini 2.5 Flash

Text
Images
Audio
Video

Mistral Small 3.2 24B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 2.5 Flash is licensed under a proprietary license, while Mistral Small 3.2 24B Instruct uses Apache 2.0.

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

Gemini 2.5 Flash

Proprietary

Closed source

Mistral Small 3.2 24B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemini 2.5 Flash was released on 2025-05-20, while Mistral Small 3.2 24B Instruct was released on 2025-06-20.

Mistral Small 3.2 24B Instruct is 1 month newer than Gemini 2.5 Flash.

Gemini 2.5 Flash

May 20, 2025

11 months ago

Mistral Small 3.2 24B Instruct

Jun 20, 2025

10 months ago

1mo newer

Knowledge Cutoff

When training data ends

Gemini 2.5 Flash has a knowledge cutoff of 2025-01-31, while Mistral Small 3.2 24B Instruct has a cutoff of 2023-10-01.

Gemini 2.5 Flash has more recent training data (up to 2025-01-31), making it potentially better informed about events through that date compared to Mistral Small 3.2 24B Instruct (2023-10-01).

Gemini 2.5 Flash

Jan 2025

1.3 yr newer
Mistral Small 3.2 24B Instruct

Oct 2023

Outputs Comparison

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Key Takeaways

Google
Larger context window (1,048,576 tokens)
Higher GPQA score (82.8% vs 46.1%)
Higher MMMU score (79.7% vs 62.5%)
Higher SimpleQA score (26.9% vs 12.1%)
Mistral AI
Has open weights
GoogleGemini 2.5 Flash
Mistral AIMistral Small 3.2 24B Instruct
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Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 2.5 Flash
Mistral AI
Mistral Small 3.2 24B Instruct

FAQ

Common questions about Gemini 2.5 Flash vs Mistral Small 3.2 24B Instruct

Gemini 2.5 Flash significantly outperforms across most benchmarks. Gemini 2.5 Flash is made by Google and Mistral Small 3.2 24B Instruct is made by Mistral AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Gemini 2.5 Flash scores Global-MMLU-Lite: 88.4%, AIME 2024: 88.0%, FACTS Grounding: 85.3%, GPQA: 82.8%, MMMU: 79.7%. Mistral Small 3.2 24B Instruct scores DocVQA: 94.9%, AI2D: 92.9%, HumanEval Plus: 92.9%, ChartQA: 87.4%, IF: 84.8%.
Gemini 2.5 Flash supports 1.0M tokens and Mistral Small 3.2 24B Instruct supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
Gemini 2.5 Flash is developed by Google and Mistral Small 3.2 24B Instruct is developed by Mistral AI.