Model Comparison

Gemini 1.5 Flash vs Mistral Small 3.2 24B InstructWhich is better in 2026?

Mistral Small 3.2 24B Instruct shows notably better performance in the majority of benchmarks.

Verdict: Gemini 1.5 Flash vs Mistral Small 3.2 24B Instruct — which is better?

Gemini 1.5 Flash (by Google) and Mistral Small 3.2 24B Instruct (by Mistral AI) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Gemini 1.5 Flash outperforms in 2 benchmarks (GPQA, MATH), while Mistral Small 3.2 24B Instruct is better at 4 benchmarks (MathVista, MMLU, MMLU-Pro, MMMU). Mistral Small 3.2 24B Instruct shows notably better performance in the majority of benchmarks.

Choose Gemini 1.5 Flash if…

  • you want predictable pricing at $0.15/M input and $0.60/M output

Choose Mistral Small 3.2 24B Instruct if…

  • you want the strongest raw capability — it leads on 4 of 6 shared benchmarks
  • you want the most recent training data — it shipped Jun 2025
  • you need open weights you can self-host or fine-tune
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Performance Benchmarks

Comparative analysis across standard metrics

6 benchmarks

Gemini 1.5 Flash outperforms in 2 benchmarks (GPQA, MATH), while Mistral Small 3.2 24B Instruct is better at 4 benchmarks (MathVista, MMLU, MMLU-Pro, MMMU).

Mistral Small 3.2 24B Instruct shows notably better performance in the majority of benchmarks.

Tue Jun 16 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only Gemini 1.5 Flash specifies input context (1,048,576 tokens). Only Gemini 1.5 Flash specifies output context (8,192 tokens).

Google
Gemini 1.5 Flash
Input1,048,576 tokens
Output8,192 tokens
Mistral AI
Mistral Small 3.2 24B Instruct
Input- tokens
Output- tokens
Tue Jun 16 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemini 1.5 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 1.5 Flash

Text
Images
Audio
Video

Mistral Small 3.2 24B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 1.5 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 1.5 Flash

Proprietary

Closed source

Mistral Small 3.2 24B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemini 1.5 Flash was released on 2024-05-01, while Mistral Small 3.2 24B Instruct was released on 2025-06-20.

Mistral Small 3.2 24B Instruct is 14 months newer than Gemini 1.5 Flash.

Gemini 1.5 Flash

May 1, 2024

2.1 years ago

Mistral Small 3.2 24B Instruct

Jun 20, 2025

12 months ago

1.1yr newer

Knowledge Cutoff

When training data ends

Gemini 1.5 Flash has a knowledge cutoff of 2023-11-01, while Mistral Small 3.2 24B Instruct has a cutoff of 2023-10-01.

Gemini 1.5 Flash has more recent training data (up to 2023-11-01), making it potentially better informed about events through that date compared to Mistral Small 3.2 24B Instruct (2023-10-01).

Gemini 1.5 Flash

Nov 2023

1 mo 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 (51.0% vs 46.1%)
Higher MATH score (77.9% vs 69.4%)
Mistral AI
Has open weights
Higher MathVista score (67.1% vs 65.8%)
Higher MMLU score (80.5% vs 78.9%)
Higher MMLU-Pro score (69.1% vs 67.3%)
Higher MMMU score (62.5% vs 62.3%)
GoogleGemini 1.5 Flash
Mistral AIMistral Small 3.2 24B Instruct
Compare in Playground

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 1.5 Flash
Mistral AI
Mistral Small 3.2 24B Instruct

FAQ

Common questions about Gemini 1.5 Flash vs Mistral Small 3.2 24B Instruct.

Which is better, Gemini 1.5 Flash or Mistral Small 3.2 24B Instruct?

Mistral Small 3.2 24B Instruct shows notably better performance in the majority of benchmarks. Gemini 1.5 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.

How does Gemini 1.5 Flash compare to Mistral Small 3.2 24B Instruct in benchmarks?

Gemini 1.5 Flash scores XSTest: 97.0%, FLEURS: 90.4%, HellaSwag: 86.5%, GSM8k: 86.2%, BIG-Bench Hard: 85.5%. Mistral Small 3.2 24B Instruct scores DocVQA: 94.9%, AI2D: 92.9%, HumanEval Plus: 92.9%, ChartQA: 87.4%, IF: 84.8%.

What are the context window sizes for Gemini 1.5 Flash and Mistral Small 3.2 24B Instruct?

Gemini 1.5 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.

What are the main differences between Gemini 1.5 Flash and Mistral Small 3.2 24B Instruct?

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

Who makes Gemini 1.5 Flash and Mistral Small 3.2 24B Instruct?

Gemini 1.5 Flash is developed by Google and Mistral Small 3.2 24B Instruct is developed by Mistral AI.

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