Model Comparison

Gemini 3.1 Pro vs Pixtral-12BWhich is better in 2026?

Comparing Gemini 3.1 Pro and Pixtral-12B across benchmarks, pricing, and capabilities.

Verdict: Gemini 3.1 Pro vs Pixtral-12B — which is better?

Gemini 3.1 Pro (by Google) and Pixtral-12B (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-12B is roughly 37.5x 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 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-12B if…

  • cost matters — it's about 37.5x 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

No common benchmarks found

Gemini 3.1 Pro and Pixtral-12B 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-12B costs less

For input processing, Gemini 3.1 Pro ($2.50/1M tokens) is 16.7x more expensive than Pixtral-12B ($0.15/1M tokens).

For output processing, Gemini 3.1 Pro ($15.00/1M tokens) is 100.0x more expensive than Pixtral-12B ($0.15/1M tokens).

In conclusion, Gemini 3.1 Pro is more expensive than Pixtral-12B.*

* 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-12B
Input tokens$0.15
Output tokens$0.15
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-12B's 128,000 tokens. Gemini 3.1 Pro can generate longer responses up to 65,536 tokens, while Pixtral-12B is limited to 8,192 tokens.

Google
Gemini 3.1 Pro
Input1,048,576 tokens
Output65,536 tokens
Mistral AI
Pixtral-12B
Input128,000 tokens
Output8,192 tokens
Sat Jun 06 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemini 3.1 Pro and Pixtral-12B 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-12B

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 3.1 Pro is licensed under a proprietary license, while Pixtral-12B 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

Pixtral-12B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemini 3.1 Pro was released on 2026-02-19, while Pixtral-12B was released on 2024-09-17.

Gemini 3.1 Pro is 17 months newer than Pixtral-12B.

Gemini 3.1 Pro

Feb 19, 2026

3 months ago

1.4yr newer
Pixtral-12B

Sep 17, 2024

1.7 years ago

Knowledge Cutoff

When training data ends

Gemini 3.1 Pro has a documented knowledge cutoff of 2025-01-31, while Pixtral-12B'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-12B's cutoff date.

Gemini 3.1 Pro

Jan 2025

Pixtral-12B

—

Provider Availability

Gemini 3.1 Pro is available from Google. Pixtral-12B is available from Mistral AI.

Gemini 3.1 Pro

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

Pixtral-12B

mistral logo
Mistral
Input Price:Input: $0.15/1MOutput Price:Output: $0.15/1M
* 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-12B

FAQ

Common questions about Gemini 3.1 Pro vs Pixtral-12B.

Which is better, Gemini 3.1 Pro or Pixtral-12B?

Gemini 3.1 Pro (Google) and Pixtral-12B (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-12B 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-12B scores DocVQA: 90.7%, ChartQA: 81.8%, VQAv2: 78.6%, MT-Bench: 76.8%, HumanEval: 72.0%.

Is Gemini 3.1 Pro cheaper than Pixtral-12B?

Pixtral-12B is 16.7x cheaper for input tokens. Gemini 3.1 Pro costs $2.50/M input and $15.00/M output via google. Pixtral-12B costs $0.15/M input and $0.15/M output via mistral.

What are the context window sizes for Gemini 3.1 Pro and Pixtral-12B?

Gemini 3.1 Pro supports 1.0M tokens and Pixtral-12B 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-12B?

Key differences include context window (1.0M vs 128K), input pricing ($2.50 vs $0.15/M), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 3.1 Pro and Pixtral-12B?

Gemini 3.1 Pro is developed by Google and Pixtral-12B is developed by Mistral AI.

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