Model Comparison
Devstral Small 1.1 vs o4-miniWhich is better in 2026?
o4-mini significantly outperforms across most benchmarks. Devstral Small 1.1 is 12.8x cheaper per token.
Verdict: Devstral Small 1.1 vs o4-mini — which is better?
Devstral Small 1.1 (by Mistral AI) and o4-mini (by OpenAI) 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.
Devstral Small 1.1 outperforms in 0 benchmarks, while o4-mini is better at 1 benchmark (SWE-Bench Verified). o4-mini significantly outperforms across most benchmarks.
On price, Devstral Small 1.1 is roughly 12.8x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
o4-mini also accepts a larger context window (200,000 input tokens), making it the stronger choice for long documents and large codebases.
Choose Devstral Small 1.1 if…
- cost matters — it's about 12.8x cheaper per token
- you want the most recent training data — it shipped Jul 2025
- you need open weights you can self-host or fine-tune
Choose o4-mini if…
- you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
- you process long inputs — it offers a 200,000 token context window
Performance Benchmarks
Comparative analysis across standard metrics
Devstral Small 1.1 outperforms in 0 benchmarks, while o4-mini is better at 1 benchmark (SWE-Bench Verified).
o4-mini significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Devstral Small 1.1 ($0.10/1M tokens) is 11.0x cheaper than o4-mini ($1.10/1M tokens).
For output processing, Devstral Small 1.1 ($0.30/1M tokens) is 14.7x cheaper than o4-mini ($4.40/1M tokens).
In conclusion, o4-mini 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
o4-mini accepts 200,000 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 o4-mini is limited to 100,000 tokens.
Input Capabilities
Supported data types and modalities
o4-mini supports multimodal inputs, whereas Devstral Small 1.1 does not.
o4-mini can handle both text and other forms of data like images, making it suitable for multimodal applications.
Devstral Small 1.1
o4-mini
License
Usage and distribution terms
Devstral Small 1.1 is licensed under Apache 2.0, while o4-mini uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
Apache 2.0
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
Devstral Small 1.1 was released on 2025-07-11, while o4-mini was released on 2025-04-16.
Devstral Small 1.1 is 3 months newer than o4-mini.
Jul 11, 2025
11 months ago
2mo newerApr 16, 2025
1.2 years ago
Knowledge Cutoff
When training data ends
o4-mini has a documented knowledge cutoff of 2024-05-31, while Devstral Small 1.1's cutoff date is not specified.
We can confirm o4-mini's training data extends to 2024-05-31, but cannot make a direct comparison without Devstral Small 1.1's cutoff date.
—
May 2024
Provider Availability
Devstral Small 1.1 is available from Mistral AI. o4-mini is available from OpenAI.
Devstral Small 1.1
o4-mini
Outputs Comparison
Key Takeaways
Devstral Small 1.1
View detailsMistral AI
o4-mini
View detailsOpenAI
Devstral Small 1.1o4-miniDetailed Comparison
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FAQ
Common questions about Devstral Small 1.1 vs o4-mini.