Model Comparison
Gemini 3 Pro vs Mistral Small 4Which is better in 2026?
Gemini 3 Pro significantly outperforms across most benchmarks. Mistral Small 4 is 17.1x cheaper per token.
Verdict: Gemini 3 Pro vs Mistral Small 4 — which is better?
Gemini 3 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 Pro outperforms in 3 benchmarks (AIME 2025, GPQA, MMMU-Pro), while Mistral Small 4 is better at 0 benchmarks. Gemini 3 Pro significantly outperforms across most benchmarks.
On price, Mistral Small 4 is roughly 17.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Gemini 3 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 Pro if…
- you want the strongest raw capability — it leads on 3 of 3 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 17.1x 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 Pro outperforms in 3 benchmarks (AIME 2025, GPQA, MMMU-Pro), while Mistral Small 4 is better at 0 benchmarks.
Gemini 3 Pro significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Gemini 3 Pro ($2.00/1M tokens) is 13.3x more expensive than Mistral Small 4 ($0.15/1M tokens).
For output processing, Gemini 3 Pro ($12.00/1M tokens) is 20.0x more expensive than Mistral Small 4 ($0.60/1M tokens).
In conclusion, Gemini 3 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 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 Pro is limited to 65,536 tokens.
Input Capabilities
Supported data types and modalities
Both Gemini 3 Pro and Mistral Small 4 support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemini 3 Pro
Mistral Small 4
License
Usage and distribution terms
Gemini 3 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 Pro was released on 2025-11-18, while Mistral Small 4 was released on 2026-03-16.
Mistral Small 4 is 4 months newer than Gemini 3 Pro.
Nov 18, 2025
7 months ago
Mar 16, 2026
3 months ago
3mo newerKnowledge Cutoff
When training data ends
Gemini 3 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 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 Pro is available from Google. Mistral Small 4 is available from Mistral AI.
Gemini 3 Pro
Mistral Small 4
Outputs Comparison
Key Takeaways
Gemini 3 Pro
View detailsMistral Small 4
View detailsMistral AI
Detailed Comparison
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FAQ
Common questions about Gemini 3 Pro vs Mistral Small 4.