Model Comparison
Gemini 3.1 Pro vs Min istral 3 (3B Reasoning 2512)Which is better in 2026?
Gemini 3.1 Pro significantly outperforms across most benchmarks. Min istral 3 (3B Reasoning 2512) is 56.3x cheaper per token.
Verdict: Gemini 3.1 Pro vs Min istral 3 (3B Reasoning 2512) — which is better?
Gemini 3.1 Pro (by Google) and Min istral 3 (3B Reasoning 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 1 benchmarks (GPQA), while Min istral 3 (3B Reasoning 2512) is better at 0 benchmarks. Gemini 3.1 Pro significantly outperforms across most benchmarks.
On price, Min istral 3 (3B Reasoning 2512) is roughly 56.3x 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 1 of 1 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 Min istral 3 (3B Reasoning 2512) if…
- cost matters — it's about 56.3x cheaper per token
- you need open weights you can self-host or fine-tune
Performance Benchmarks
Comparative analysis across standard metrics
Gemini 3.1 Pro outperforms in 1 benchmarks (GPQA), while Min istral 3 (3B Reasoning 2512) is better at 0 benchmarks.
Gemini 3.1 Pro significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Gemini 3.1 Pro ($2.50/1M tokens) is 25.0x more expensive than Min istral 3 (3B Reasoning 2512) ($0.10/1M tokens).
For output processing, Gemini 3.1 Pro ($15.00/1M tokens) is 150.0x more expensive than Min istral 3 (3B Reasoning 2512) ($0.10/1M tokens).
In conclusion, Gemini 3.1 Pro is more expensive than Min istral 3 (3B Reasoning 2512).*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Gemini 3.1 Pro accepts 1,048,576 input tokens compared to Min istral 3 (3B Reasoning 2512)'s 131,100 tokens. Min istral 3 (3B Reasoning 2512) can generate longer responses up to 131,100 tokens, while Gemini 3.1 Pro is limited to 65,536 tokens.
Input Capabilities
Supported data types and modalities
Both Gemini 3.1 Pro and Min istral 3 (3B Reasoning 2512) support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemini 3.1 Pro
Min istral 3 (3B Reasoning 2512)
License
Usage and distribution terms
Gemini 3.1 Pro is licensed under a proprietary license, while Min istral 3 (3B Reasoning 2512) uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Apache 2.0
Open weights
Release Timeline
When each model was launched
Gemini 3.1 Pro was released on 2026-02-19, while Min istral 3 (3B Reasoning 2512) was released on 2025-12-04.
Gemini 3.1 Pro is 3 months newer than Min istral 3 (3B Reasoning 2512).
Feb 19, 2026
3 months ago
2mo newerDec 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 Min istral 3 (3B Reasoning 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 Min istral 3 (3B Reasoning 2512)'s cutoff date.
Jan 2025
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Provider Availability
Gemini 3.1 Pro is available from Google. Min istral 3 (3B Reasoning 2512) is available from Mistral AI.
Gemini 3.1 Pro
Min istral 3 (3B Reasoning 2512)
Outputs Comparison
Key Takeaways
Detailed Comparison
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FAQ
Common questions about Gemini 3.1 Pro vs Min istral 3 (3B Reasoning 2512).