Model Comparison

Gemini 3.1 Pro vs Mistral Large 2Which is better in 2026?

Comparing Gemini 3.1 Pro and Mistral Large 2 across benchmarks, pricing, and capabilities.

Verdict: Gemini 3.1 Pro vs Mistral Large 2 — which is better?

Gemini 3.1 Pro (by Google) and Mistral Large 2 (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.

On price, Mistral Large 2 is roughly 1.9x 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 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 2 if…

  • cost matters — it's about 1.9x cheaper per token
  • you need open weights you can self-host or fine-tune
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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Gemini 3.1 Pro and Mistral Large 2 don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Mistral Large 2 costs less

For input processing, Gemini 3.1 Pro ($2.50/1M tokens) is 1.3x more expensive than Mistral Large 2 ($2.00/1M tokens).

For output processing, Gemini 3.1 Pro ($15.00/1M tokens) is 2.5x more expensive than Mistral Large 2 ($6.00/1M tokens).

In conclusion, Gemini 3.1 Pro is more expensive than Mistral Large 2.*

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

Lowest available price from all providers
Sat Jun 06 2026 • llm-stats.com
Google
Gemini 3.1 Pro
Input tokens$2.50
Output tokens$15.00
Best providerGoogle
Mistral AI
Mistral Large 2
Input tokens$2.00
Output tokens$6.00
Best providerGoogle
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 2's 128,000 tokens. Mistral Large 2 can generate longer responses up to 128,000 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 2
Input128,000 tokens
Output128,000 tokens
Sat Jun 06 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 3.1 Pro supports multimodal inputs, whereas Mistral Large 2 does not.

Gemini 3.1 Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 3.1 Pro

Text
Images
Audio
Video

Mistral Large 2

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 3.1 Pro is licensed under a proprietary license, while Mistral Large 2 uses Mistral Research License.

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 2

Mistral Research License

Open weights

Release Timeline

When each model was launched

Gemini 3.1 Pro was released on 2026-02-19, while Mistral Large 2 was released on 2024-07-24.

Gemini 3.1 Pro is 19 months newer than Mistral Large 2.

Gemini 3.1 Pro

Feb 19, 2026

3 months ago

1.6yr newer
Mistral Large 2

Jul 24, 2024

1.9 years ago

Knowledge Cutoff

When training data ends

Gemini 3.1 Pro has a documented knowledge cutoff of 2025-01-31, while Mistral Large 2'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 2's cutoff date.

Gemini 3.1 Pro

Jan 2025

Mistral Large 2

—

Provider Availability

Gemini 3.1 Pro is available from Google. Mistral Large 2 is available from Google, Mistral AI.

Gemini 3.1 Pro

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

Mistral Large 2

google logo
Google
Input Price:Input: $2.00/1MOutput Price:Output: $6.00/1M
mistral logo
Mistral
Input Price:Input: $2.00/1MOutput Price:Output: $6.00/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Google
Larger context window (1,048,576 tokens)
Supports multimodal inputs
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 2

FAQ

Common questions about Gemini 3.1 Pro vs Mistral Large 2.

Which is better, Gemini 3.1 Pro or Mistral Large 2?

Gemini 3.1 Pro (Google) and Mistral Large 2 (Mistral AI) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Gemini 3.1 Pro compare to Mistral Large 2 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 2 scores GSM8k: 93.0%, HumanEval: 92.0%, MT-Bench: 86.3%, MMLU: 84.0%, MMLU French: 82.8%.

Is Gemini 3.1 Pro cheaper than Mistral Large 2?

Mistral Large 2 is 1.3x cheaper for input tokens. Gemini 3.1 Pro costs $2.50/M input and $15.00/M output via google. Mistral Large 2 costs $2.00/M input and $6.00/M output via google.

What are the context window sizes for Gemini 3.1 Pro and Mistral Large 2?

Gemini 3.1 Pro supports 1.0M tokens and Mistral Large 2 supports 128K 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 2?

Key differences include context window (1.0M vs 128K), input pricing ($2.50 vs $2.00/M), multimodal support (yes vs no), licensing (Proprietary vs Mistral Research License). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 3.1 Pro and Mistral Large 2?

Gemini 3.1 Pro is developed by Google and Mistral Large 2 is developed by Mistral AI.

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