Model Comparison
Gemini 3.1 Pro vs Mistral Small 4Which is better in 2026?
Gemini 3.1 Pro significantly outperforms across most benchmarks. Mistral Small 4 is 21.4x cheaper per token.
Verdict: Gemini 3.1 Pro vs Mistral Small 4 — which is better?
Gemini 3.1 Pro (by Google) and Mistral Small 4 (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 2 benchmarks (GPQA, MMMU-Pro), while Mistral Small 4 is better at 0 benchmarks. Gemini 3.1 Pro significantly outperforms across most benchmarks.
On price, Mistral Small 4 is roughly 21.4x 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 2 of 2 shared benchmarks
- you process long inputs — it offers a 1,048,576 token context window
Choose Mistral Small 4 if…
- cost matters — it's about 21.4x cheaper per token
- you want the most recent training data — it shipped Mar 2026
- you need open weights you can self-host or fine-tune
Performance Benchmarks
Comparative analysis across standard metrics
Gemini 3.1 Pro outperforms in 2 benchmarks (GPQA, MMMU-Pro), while Mistral Small 4 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 16.7x more expensive than Mistral Small 4 ($0.15/1M tokens).
For output processing, Gemini 3.1 Pro ($15.00/1M tokens) is 25.0x more expensive than Mistral Small 4 ($0.60/1M tokens).
In conclusion, Gemini 3.1 Pro is more expensive than Mistral Small 4.*
* 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 Mistral Small 4's 256,000 tokens. Mistral Small 4 can generate longer responses up to 256,000 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 Mistral Small 4 support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemini 3.1 Pro
Mistral Small 4
License
Usage and distribution terms
Gemini 3.1 Pro is licensed under a proprietary license, while Mistral Small 4 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 Mistral Small 4 was released on 2026-03-16.
Mistral Small 4 is 1 month newer than Gemini 3.1 Pro.
Feb 19, 2026
3 months ago
Mar 16, 2026
3 months ago
3w newerKnowledge Cutoff
When training data ends
Gemini 3.1 Pro has a documented knowledge cutoff of 2025-01-31, while Mistral Small 4'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 Small 4's cutoff date.
Jan 2025
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Provider Availability
Gemini 3.1 Pro is available from Google. Mistral Small 4 is available from Mistral AI.
Gemini 3.1 Pro
Mistral Small 4
Outputs Comparison
Key Takeaways
Mistral Small 4
View detailsMistral AI
Detailed Comparison
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FAQ
Common questions about Gemini 3.1 Pro vs Mistral Small 4.