Model Comparison
Gemini 3 Pro vs Devstral Small 1.1Which is better in 2026?
Gemini 3 Pro significantly outperforms across most benchmarks. Devstral Small 1.1 is 30.0x cheaper per token.
Verdict: Gemini 3 Pro vs Devstral Small 1.1 — which is better?
Gemini 3 Pro (by Google) and Devstral Small 1.1 (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 1 benchmarks (SWE-Bench Verified), while Devstral Small 1.1 is better at 0 benchmarks. Gemini 3 Pro significantly outperforms across most benchmarks.
On price, Devstral Small 1.1 is roughly 30.0x 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 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 Nov 2025
Choose Devstral Small 1.1 if…
- cost matters — it's about 30.0x cheaper per token
- you need open weights you can self-host or fine-tune
Performance Benchmarks
Comparative analysis across standard metrics
Gemini 3 Pro outperforms in 1 benchmarks (SWE-Bench Verified), while Devstral Small 1.1 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 20.0x more expensive than Devstral Small 1.1 ($0.10/1M tokens).
For output processing, Gemini 3 Pro ($12.00/1M tokens) is 40.0x more expensive than Devstral Small 1.1 ($0.30/1M tokens).
In conclusion, Gemini 3 Pro is more expensive than Devstral Small 1.1.*
* 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 Devstral Small 1.1's 128,000 tokens. Devstral Small 1.1 can generate longer responses up to 128,000 tokens, while Gemini 3 Pro is limited to 65,536 tokens.
Input Capabilities
Supported data types and modalities
Gemini 3 Pro supports multimodal inputs, whereas Devstral Small 1.1 does not.
Gemini 3 Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.
Gemini 3 Pro
Devstral Small 1.1
License
Usage and distribution terms
Gemini 3 Pro is licensed under a proprietary license, while Devstral Small 1.1 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 Devstral Small 1.1 was released on 2025-07-11.
Gemini 3 Pro is 4 months newer than Devstral Small 1.1.
Nov 18, 2025
6 months ago
4mo newerJul 11, 2025
11 months ago
Knowledge Cutoff
When training data ends
Gemini 3 Pro has a documented knowledge cutoff of 2025-01-31, while Devstral Small 1.1'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 Devstral Small 1.1's cutoff date.
Jan 2025
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Provider Availability
Gemini 3 Pro is available from Google. Devstral Small 1.1 is available from Mistral AI.
Gemini 3 Pro
Devstral Small 1.1
Outputs Comparison
Key Takeaways
Gemini 3 Pro
View detailsDevstral Small 1.1
View detailsMistral AI
Detailed Comparison
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FAQ
Common questions about Gemini 3 Pro vs Devstral Small 1.1.