Model Comparison

Gemini 3.1 Pro vs Mistral Large 3 (675B Base)

Gemini 3.1 Pro significantly outperforms across most benchmarks.

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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 Apr 15 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Wed Apr 15 2026 • llm-stats.com
Google
Gemini 3.1 Pro
Input tokens$2.50
Output tokens$15.00
Best providerGoogle
Mistral AI
Mistral Large 3 (675B Base)
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
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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 Apr 15 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

1 months ago

2mo newer
Mistral Large 3 (675B Base)

Dec 4, 2025

4 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)

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Outputs Comparison

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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)

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.
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%.
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.
Key differences include licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
Gemini 3.1 Pro is developed by Google and Mistral Large 3 (675B Base) is developed by Mistral AI.