Model Comparison

Gemini 3.1 Pro vs Pixtral LargeWhich is better in 2026?

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

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

Gemini 3.1 Pro (by Google) and Pixtral Large (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, Pixtral Large 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 Pixtral Large 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 Pixtral Large 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

Pixtral Large costs less

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

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

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

* 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
Pixtral Large
Input tokens$2.00
Output tokens$6.00
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 Pixtral Large's 128,000 tokens. Pixtral Large 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
Pixtral Large
Input128,000 tokens
Output128,000 tokens
Sat Jun 06 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemini 3.1 Pro and Pixtral Large 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

Pixtral Large

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 3.1 Pro is licensed under a proprietary license, while Pixtral Large uses Mistral Research License (MRL) for research; Mistral Commercial License for commercial use.

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

Gemini 3.1 Pro

Proprietary

Closed source

Pixtral Large

Mistral Research License (MRL) for research; Mistral Commercial License for commercial use

Open weights

Release Timeline

When each model was launched

Gemini 3.1 Pro was released on 2026-02-19, while Pixtral Large was released on 2024-11-18.

Gemini 3.1 Pro is 15 months newer than Pixtral Large.

Gemini 3.1 Pro

Feb 19, 2026

3 months ago

1.3yr newer
Pixtral Large

Nov 18, 2024

1.5 years ago

Knowledge Cutoff

When training data ends

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

Gemini 3.1 Pro

Jan 2025

Pixtral Large

—

Provider Availability

Gemini 3.1 Pro is available from Google. Pixtral Large is available from Mistral AI.

Gemini 3.1 Pro

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

Pixtral Large

mistral logo
Mistral
Input Price:Input: $2.00/1MOutput Price:Output: $6.00/1M
* 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)
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
Pixtral Large

FAQ

Common questions about Gemini 3.1 Pro vs Pixtral Large.

Which is better, Gemini 3.1 Pro or Pixtral Large?

Gemini 3.1 Pro (Google) and Pixtral Large (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 Pixtral Large in benchmarks?

Gemini 3.1 Pro scores t2-bench: 99.3%, LiveCodeBench Pro: 96.2%, GPQA: 94.3%, MMMLU: 92.6%, BrowseComp: 85.9%. Pixtral Large scores AI2D: 93.8%, DocVQA: 93.3%, ChartQA: 88.1%, VQAv2: 80.9%, MM-MT-Bench: 74.0%.

Is Gemini 3.1 Pro cheaper than Pixtral Large?

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

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

Gemini 3.1 Pro supports 1.0M tokens and Pixtral Large 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 Pixtral Large?

Key differences include context window (1.0M vs 128K), input pricing ($2.50 vs $2.00/M), licensing (Proprietary vs Mistral Research License (MRL) for research; Mistral Commercial License for commercial use). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 3.1 Pro and Pixtral Large?

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

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