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Gemini 3.1 Pro vs Mistral Large 3 (675B Instruct 2512 Eagle)

Gemini 3.1 Pro leads the LLM Stats Score 43.9 to 8.8.

Google · Mistral AI · Updated for 2026

Which is better?

Gemini 3.1 Pro leads the overall LLM Stats Score 43.9 to 8.8, ranking #32 overall.

In the 2 individual benchmarks reported for both models, Gemini 3.1 Pro wins 2; this is a narrower head-to-head signal than the composite indexes.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Gemini 3.1 Pro

  • overall performance matters — it scores 43.9 and ranks #32 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 2 of 2 exact shared results
  • you want the most recent training data — it shipped Feb 2026

Choose Mistral Large 3 (675B Instruct 2512 Eagle)

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

At a glance

The differences that matter most.

Gemini 3.1 Pro
Google
Mistral Large 3 (675B Instruct 2512 Eagle)
Mistral AI
Core performance indexes
LLM Stats Score
43.9
#32
8.8
#258
Reasoning
45.6
#23
9.0
#249
Coding
33.0
#39
1.2
#216
Cost, coverage & limits
Benchmark wins
2 of 2
0 of 2
Input price
$2.50 / M
— / M
Output price
$15.00 / M
— / M
Context window
1,048,576
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Gemini 3.1 Pro
Mistral Large 3 (675B Instruct 2512 Eagle)
Math
42.5#4
18.0#175
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

20 reported for Gemini 3.1 Pro · 5 for Mistral Large 3 (675B Instruct 2512 Eagle)

2 shared

Gemini 3.1 Pro outperforms in 2 benchmarks (GPQA, MMMLU), while Mistral Large 3 (675B Instruct 2512 Eagle) is better at 0 benchmarks.

Gemini 3.1 Pro significantly outperforms across most benchmarks.

Fri Aug 28 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

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 Instruct 2512 Eagle)
Input- tokens
Output- tokens
Fri Aug 28 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Gemini 3.1 Pro and Mistral Large 3 (675B Instruct 2512 Eagle) 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 Instruct 2512 Eagle)

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 3.1 Pro is licensed under a proprietary license, while Mistral Large 3 (675B Instruct 2512 Eagle) 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 Instruct 2512 Eagle)

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 Instruct 2512 Eagle) was released on 2025-12-04.

Gemini 3.1 Pro is 3 months newer than Mistral Large 3 (675B Instruct 2512 Eagle).

Gemini 3.1 Pro

Feb 19, 2026

6 months ago

2mo newer
Mistral Large 3 (675B Instruct 2512 Eagle)

Dec 4, 2025

8 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 Instruct 2512 Eagle)'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 Instruct 2512 Eagle)'s cutoff date.

Gemini 3.1 Pro

Jan 2025

Mistral Large 3 (675B Instruct 2512 Eagle)

—

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Gemini 3.1 Pro and Mistral Large 3 (675B Instruct 2512 Eagle) side-by-side, then vote on the output you prefer.

Gemini 3.1 Pro
✓ Preferred
Mistral Large 3 (675B Instruct 2512 Eagle)
Open in Playground

FAQ

Common questions about Gemini 3.1 Pro vs Mistral Large 3 (675B Instruct 2512 Eagle).

Which is better, Gemini 3.1 Pro or Mistral Large 3 (675B Instruct 2512 Eagle)?

Gemini 3.1 Pro leads the LLM Stats Score 43.9 to 8.8. Gemini 3.1 Pro is made by Google and Mistral Large 3 (675B Instruct 2512 Eagle) is made by Mistral AI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Gemini 3.1 Pro compare to Mistral Large 3 (675B Instruct 2512 Eagle) 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 Instruct 2512 Eagle) 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 Instruct 2512 Eagle)?

Gemini 3.1 Pro supports 1.0M tokens and Mistral Large 3 (675B Instruct 2512 Eagle) 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 Instruct 2512 Eagle)?

Key differences include LLM Stats Score (43.9 vs 8.8), 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 Instruct 2512 Eagle)?

Gemini 3.1 Pro is developed by Google and Mistral Large 3 (675B Instruct 2512 Eagle) is developed by Mistral AI.

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