Model Comparison

Gemini 3.1 Pro vs MiniStral 3 (14B Instruct 2512)Which is better in 2026?

Comparing Gemini 3.1 Pro and MiniStral 3 (14B Instruct 2512) across benchmarks, pricing, and capabilities.

Verdict: Gemini 3.1 Pro vs MiniStral 3 (14B Instruct 2512) — which is better?

Gemini 3.1 Pro (by Google) and MiniStral 3 (14B 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.

Choose Gemini 3.1 Pro if…

  • you want the most recent training data — it shipped Feb 2026

Choose MiniStral 3 (14B Instruct 2512) if…

  • 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 MiniStral 3 (14B Instruct 2512) don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

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
MiniStral 3 (14B Instruct 2512)
Input- tokens
Output- tokens
Sun Jun 07 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemini 3.1 Pro and MiniStral 3 (14B 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

MiniStral 3 (14B Instruct 2512)

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 3.1 Pro is licensed under a proprietary license, while MiniStral 3 (14B 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

MiniStral 3 (14B 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 MiniStral 3 (14B Instruct 2512) was released on 2025-12-04.

Gemini 3.1 Pro is 3 months newer than MiniStral 3 (14B Instruct 2512).

Gemini 3.1 Pro

Feb 19, 2026

3 months ago

2mo newer
MiniStral 3 (14B 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 MiniStral 3 (14B 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 MiniStral 3 (14B Instruct 2512)'s cutoff date.

Gemini 3.1 Pro

Jan 2025

MiniStral 3 (14B Instruct 2512)

—

Outputs Comparison

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Key Takeaways

Google
Larger context window (1,048,576 tokens)
Mistral AI
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 3.1 Pro
Mistral AI
MiniStral 3 (14B Instruct 2512)

FAQ

Common questions about Gemini 3.1 Pro vs MiniStral 3 (14B Instruct 2512).

Which is better, Gemini 3.1 Pro or MiniStral 3 (14B Instruct 2512)?

Gemini 3.1 Pro (Google) and MiniStral 3 (14B Instruct 2512) (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 MiniStral 3 (14B 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%. MiniStral 3 (14B Instruct 2512) scores MATH: 90.4%, Wild Bench: 68.5%, Arena Hard: 55.1%, MM-MT-Bench: 8.5%.

What are the context window sizes for Gemini 3.1 Pro and MiniStral 3 (14B Instruct 2512)?

Gemini 3.1 Pro supports 1.0M tokens and MiniStral 3 (14B Instruct 2512) supports an unknown number of 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 MiniStral 3 (14B Instruct 2512)?

Key differences include licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 3.1 Pro and MiniStral 3 (14B Instruct 2512)?

Gemini 3.1 Pro is developed by Google and MiniStral 3 (14B Instruct 2512) is developed by Mistral AI.

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