Model Comparison

Gemini 3.1 Pro vs Mistral Small 3 24B BaseWhich is better in 2026?

Gemini 3.1 Pro significantly outperforms across most benchmarks.

Verdict: Gemini 3.1 Pro vs Mistral Small 3 24B Base — which is better?

Gemini 3.1 Pro (by Google) and Mistral Small 3 24B Base (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 3.1 Pro outperforms in 1 benchmarks (GPQA), while Mistral Small 3 24B Base is better at 0 benchmarks. Gemini 3.1 Pro significantly outperforms across most benchmarks.

Choose Gemini 3.1 Pro if…

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
  • you want the most recent training data — it shipped Feb 2026

Choose Mistral Small 3 24B Base if…

  • you need open weights you can self-host or fine-tune

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Gemini 3.1 Pro outperforms in 1 benchmarks (GPQA), while Mistral Small 3 24B Base is better at 0 benchmarks.

Gemini 3.1 Pro significantly outperforms across most benchmarks.

Sat Jun 06 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only Gemini 3.1 Pro specifies input context (1,048,576 tokens). Only Gemini 3.1 Pro specifies output context (65,536 tokens).

Google
Gemini 3.1 Pro
Input1,048,576 tokens
Output65,536 tokens
Mistral AI
Mistral Small 3 24B Base
Input- tokens
Output- tokens
Sat Jun 06 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemini 3.1 Pro and Mistral Small 3 24B Base support multimodal inputs.

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

Gemini 3.1 Pro

Text
Images
Audio
Video

Mistral Small 3 24B Base

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 3.1 Pro is licensed under a proprietary license, while Mistral Small 3 24B Base uses Apache 2.0.

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

Gemini 3.1 Pro

Proprietary

Closed source

Mistral Small 3 24B Base

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemini 3.1 Pro was released on 2026-02-19, while Mistral Small 3 24B Base was released on 2025-01-30.

Gemini 3.1 Pro is 13 months newer than Mistral Small 3 24B Base.

Gemini 3.1 Pro

Feb 19, 2026

3 months ago

1.1yr newer
Mistral Small 3 24B Base

Jan 30, 2025

1.3 years ago

Knowledge Cutoff

When training data ends

Gemini 3.1 Pro has a knowledge cutoff of 2025-01-31, while Mistral Small 3 24B Base has a cutoff of 2023-10-01.

Gemini 3.1 Pro 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 24B Base (2023-10-01).

Gemini 3.1 Pro

Jan 2025

1.3 yr newer
Mistral Small 3 24B Base

Oct 2023

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

Larger context window (1,048,576 tokens)
Higher GPQA score (94.3% vs 34.4%)
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 3.1 Pro
Mistral AI
Mistral Small 3 24B Base

FAQ

Common questions about Gemini 3.1 Pro vs Mistral Small 3 24B Base.

Which is better, Gemini 3.1 Pro or Mistral Small 3 24B Base?

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

How does Gemini 3.1 Pro compare to Mistral Small 3 24B Base in benchmarks?

Gemini 3.1 Pro scores t2-bench: 99.3%, LiveCodeBench Pro: 96.2%, GPQA: 94.3%, MMMLU: 92.6%, BrowseComp: 85.9%. Mistral Small 3 24B Base scores ARC-C: 91.3%, GSM8k: 80.7%, MMLU: 80.7%, TriviaQA: 80.3%, MBPP: 69.6%.

What are the context window sizes for Gemini 3.1 Pro and Mistral Small 3 24B Base?

Gemini 3.1 Pro supports 1.0M tokens and Mistral Small 3 24B Base 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 3.1 Pro and Mistral Small 3 24B Base?

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

Who makes Gemini 3.1 Pro and Mistral Small 3 24B Base?

Gemini 3.1 Pro is developed by Google and Mistral Small 3 24B Base is developed by Mistral AI.