Model Comparison

Gemini 3.1 Pro vs Mistral Large 3 (675B Instruct 2512)Which is better in 2026?

Gemini 3.1 Pro significantly outperforms across most benchmarks. Mistral Large 3 (675B Instruct 2512) is 7.5x cheaper per token.

Verdict: Gemini 3.1 Pro vs Mistral Large 3 (675B Instruct 2512) — which is better?

Gemini 3.1 Pro (by Google) and Mistral Large 3 (675B Instruct 2512) (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 Instruct 2512) is better at 0 benchmarks. Gemini 3.1 Pro significantly outperforms across most benchmarks.

On price, Mistral Large 3 (675B Instruct 2512) is roughly 7.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Gemini 3.1 Pro also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.

Choose Gemini 3.1 Pro if…

  • you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
  • you process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Feb 2026

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

  • cost matters — it's about 7.5x cheaper per token
  • 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 Instruct 2512) is better at 0 benchmarks.

Gemini 3.1 Pro significantly outperforms across most benchmarks.

Sun Jun 07 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Mistral Large 3 (675B Instruct 2512) costs less

For input processing, Gemini 3.1 Pro ($2.50/1M tokens) is 5.0x more expensive than Mistral Large 3 (675B Instruct 2512) ($0.50/1M tokens).

For output processing, Gemini 3.1 Pro ($15.00/1M tokens) is 10.0x more expensive than Mistral Large 3 (675B Instruct 2512) ($1.50/1M tokens).

In conclusion, Gemini 3.1 Pro is more expensive than Mistral Large 3 (675B Instruct 2512).*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Sun Jun 07 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 Instruct 2512)
Input tokens$0.50
Output tokens$1.50
Best providerMistral
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Gemini 3.1 Pro accepts 1,048,576 input tokens compared to Mistral Large 3 (675B Instruct 2512)'s 262,100 tokens. Mistral Large 3 (675B Instruct 2512) can generate longer responses up to 262,100 tokens, while Gemini 3.1 Pro is limited to 65,536 tokens.

Google
Gemini 3.1 Pro
Input1,048,576 tokens
Output65,536 tokens
Mistral AI
Mistral Large 3 (675B Instruct 2512)
Input262,100 tokens
Output262,100 tokens
Sun Jun 07 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

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

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) 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)

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) was released on 2025-12-04.

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

Gemini 3.1 Pro

Feb 19, 2026

3 months ago

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

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 Instruct 2512)'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)'s cutoff date.

Gemini 3.1 Pro

Jan 2025

Mistral Large 3 (675B Instruct 2512)

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Provider Availability

Gemini 3.1 Pro is available from Google. Mistral Large 3 (675B Instruct 2512) is available from Mistral AI.

Gemini 3.1 Pro

google logo
Google
Input Price:Input: $2.50/1MOutput Price:Output: $15.00/1M

Mistral Large 3 (675B Instruct 2512)

mistral logo
Mistral
Input Price:Input: $0.50/1MOutput Price:Output: $1.50/1M
* Prices shown are per million tokens

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
Less expensive input tokens
Less expensive output tokens
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 3.1 Pro
Mistral AI
Mistral Large 3 (675B Instruct 2512)

FAQ

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

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

Gemini 3.1 Pro significantly outperforms across most benchmarks. Gemini 3.1 Pro is made by Google and Mistral Large 3 (675B Instruct 2512) 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 Instruct 2512) 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) scores MMMLU: 85.5%, AMC_2022_23: 52.0%, GPQA: 43.9%, LiveCodeBench: 34.4%, SimpleQA: 23.8%.

Is Gemini 3.1 Pro cheaper than Mistral Large 3 (675B Instruct 2512)?

Mistral Large 3 (675B Instruct 2512) is 5.0x cheaper for input tokens. Gemini 3.1 Pro costs $2.50/M input and $15.00/M output via google. Mistral Large 3 (675B Instruct 2512) costs $0.50/M input and $1.50/M output via mistral.

What are the context window sizes for Gemini 3.1 Pro and Mistral Large 3 (675B Instruct 2512)?

Gemini 3.1 Pro supports 1.0M tokens and Mistral Large 3 (675B Instruct 2512) supports 262K 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)?

Key differences include context window (1.0M vs 262K), input pricing ($2.50 vs $0.50/M), 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)?

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

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