Model Comparison

Gemini 3.1 Pro vs Mistral Large 3 (675B Base)Which is better in 2026?

Gemini 3.1 Pro significantly outperforms across most benchmarks.

Verdict: Gemini 3.1 Pro vs Mistral Large 3 (675B Base) — which is better?

Gemini 3.1 Pro (by Google) and Mistral Large 3 (675B 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 2 benchmarks (GPQA, MMMLU), while Mistral Large 3 (675B 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 2 of 2 shared benchmarks
  • you want the most recent training data — it shipped Feb 2026

Choose Mistral Large 3 (675B Base) if…

  • you need open weights you can self-host or fine-tune
Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Gemini 3.1 Pro outperforms in 2 benchmarks (GPQA, MMMLU), while Mistral Large 3 (675B Base) is better at 0 benchmarks.

Gemini 3.1 Pro significantly outperforms across most benchmarks.

Wed Jun 10 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 Large 3 (675B Base)
Input- tokens
Output- tokens
Wed Jun 10 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemini 3.1 Pro and Mistral Large 3 (675B 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 Large 3 (675B Base)

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 3.1 Pro is licensed under a proprietary license, while Mistral Large 3 (675B 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 Large 3 (675B 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 Large 3 (675B Base) was released on 2025-12-04.

Gemini 3.1 Pro is 3 months newer than Mistral Large 3 (675B Base).

Gemini 3.1 Pro

Feb 19, 2026

3 months ago

2mo newer
Mistral Large 3 (675B Base)

Dec 4, 2025

6 months ago

Knowledge Cutoff

When training data ends

Gemini 3.1 Pro has a documented knowledge cutoff of 2025-01-31, while Mistral Large 3 (675B Base)'s cutoff date is not specified.

We can confirm Gemini 3.1 Pro's training data extends to 2025-01-31, but cannot make a direct comparison without Mistral Large 3 (675B Base)'s cutoff date.

Gemini 3.1 Pro

Jan 2025

Mistral Large 3 (675B Base)

—

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Google
Larger context window (1,048,576 tokens)
Higher GPQA score (94.3% vs 43.9%)
Higher MMMLU score (92.6% vs 85.5%)
Mistral AI
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 3.1 Pro
Mistral AI
Mistral Large 3 (675B Base)

FAQ

Common questions about Gemini 3.1 Pro vs Mistral Large 3 (675B Base).

Which is better, Gemini 3.1 Pro or Mistral Large 3 (675B Base)?

Gemini 3.1 Pro significantly outperforms across most benchmarks. Gemini 3.1 Pro is made by Google and Mistral Large 3 (675B 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 Large 3 (675B 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 Large 3 (675B Base) scores MMMLU: 85.5%, AMC_2022_23: 52.0%, GPQA: 43.9%, LiveCodeBench: 34.4%, SimpleQA: 23.8%.

What are the context window sizes for Gemini 3.1 Pro and Mistral Large 3 (675B Base)?

Gemini 3.1 Pro supports 1.0M tokens and Mistral Large 3 (675B 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 Large 3 (675B 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 Large 3 (675B Base)?

Gemini 3.1 Pro is developed by Google and Mistral Large 3 (675B Base) is developed by Mistral AI.

Related comparisons