Model Comparison

Gemini 3 Pro vs Mistral Large 3 (675B Instruct 2512 NVFP4)Which is better in 2026?

Gemini 3 Pro significantly outperforms across most benchmarks.

Verdict: Gemini 3 Pro vs Mistral Large 3 (675B Instruct 2512 NVFP4) — which is better?

Gemini 3 Pro (by Google) and Mistral Large 3 (675B Instruct 2512 NVFP4) (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 Pro outperforms in 3 benchmarks (GPQA, MMMLU, SimpleQA), while Mistral Large 3 (675B Instruct 2512 NVFP4) is better at 0 benchmarks. Gemini 3 Pro significantly outperforms across most benchmarks.

Choose Gemini 3 Pro if…

  • you want the strongest raw capability — it leads on 3 of 3 shared benchmarks

Choose Mistral Large 3 (675B Instruct 2512 NVFP4) if…

  • you want the most recent training data — it shipped Dec 2025
  • you need open weights you can self-host or fine-tune
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Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Gemini 3 Pro outperforms in 3 benchmarks (GPQA, MMMLU, SimpleQA), while Mistral Large 3 (675B Instruct 2512 NVFP4) is better at 0 benchmarks.

Gemini 3 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 Pro specifies input context (1,048,576 tokens). Only Gemini 3 Pro specifies output context (65,536 tokens).

Google
Gemini 3 Pro
Input1,048,576 tokens
Output65,536 tokens
Mistral AI
Mistral Large 3 (675B Instruct 2512 NVFP4)
Input- tokens
Output- tokens
Wed Jun 10 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemini 3 Pro and Mistral Large 3 (675B Instruct 2512 NVFP4) support multimodal inputs.

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

Gemini 3 Pro

Text
Images
Audio
Video

Mistral Large 3 (675B Instruct 2512 NVFP4)

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 3 Pro is licensed under a proprietary license, while Mistral Large 3 (675B Instruct 2512 NVFP4) uses Apache 2.0.

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

Gemini 3 Pro

Proprietary

Closed source

Mistral Large 3 (675B Instruct 2512 NVFP4)

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemini 3 Pro was released on 2025-11-18, while Mistral Large 3 (675B Instruct 2512 NVFP4) was released on 2025-12-04.

Mistral Large 3 (675B Instruct 2512 NVFP4) is 1 month newer than Gemini 3 Pro.

Gemini 3 Pro

Nov 18, 2025

6 months ago

Mistral Large 3 (675B Instruct 2512 NVFP4)

Dec 4, 2025

6 months ago

2w newer

Knowledge Cutoff

When training data ends

Gemini 3 Pro has a documented knowledge cutoff of 2025-01-31, while Mistral Large 3 (675B Instruct 2512 NVFP4)'s cutoff date is not specified.

We can confirm Gemini 3 Pro's training data extends to 2025-01-31, but cannot make a direct comparison without Mistral Large 3 (675B Instruct 2512 NVFP4)'s cutoff date.

Gemini 3 Pro

Jan 2025

Mistral Large 3 (675B Instruct 2512 NVFP4)

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Outputs Comparison

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Key Takeaways

Google
Larger context window (1,048,576 tokens)
Higher GPQA score (91.9% vs 43.9%)
Higher MMMLU score (91.8% vs 85.5%)
Higher SimpleQA score (72.1% vs 23.8%)
Mistral AI
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 3 Pro
Mistral AI
Mistral Large 3 (675B Instruct 2512 NVFP4)

FAQ

Common questions about Gemini 3 Pro vs Mistral Large 3 (675B Instruct 2512 NVFP4).

Which is better, Gemini 3 Pro or Mistral Large 3 (675B Instruct 2512 NVFP4)?

Gemini 3 Pro significantly outperforms across most benchmarks. Gemini 3 Pro is made by Google and Mistral Large 3 (675B Instruct 2512 NVFP4) 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 Pro compare to Mistral Large 3 (675B Instruct 2512 NVFP4) in benchmarks?

Gemini 3 Pro scores AIME 2025: 100.0%, Vending-Bench 2: 100.0%, Global PIQA: 93.4%, GPQA: 91.9%, MMMLU: 91.8%. Mistral Large 3 (675B Instruct 2512 NVFP4) 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 Pro and Mistral Large 3 (675B Instruct 2512 NVFP4)?

Gemini 3 Pro supports 1.0M tokens and Mistral Large 3 (675B Instruct 2512 NVFP4) 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 Pro and Mistral Large 3 (675B Instruct 2512 NVFP4)?

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

Who makes Gemini 3 Pro and Mistral Large 3 (675B Instruct 2512 NVFP4)?

Gemini 3 Pro is developed by Google and Mistral Large 3 (675B Instruct 2512 NVFP4) is developed by Mistral AI.

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