Devstral Small 1.1 vs o3-mini
Devstral Small 1.1 and o3-mini are closely matched at 9.6 and 21.5 on the LLM Stats Score. Devstral Small 1.1 is 12.8x cheaper per token.
Mistral AI · OpenAI · Updated for 2026
Which is better?
Devstral Small 1.1 and o3-mini are closely matched on the overall LLM Stats Score at 9.6 and 21.5.
In the 1 individual benchmarks reported for both models, Devstral Small 1.1 wins 1; this is a narrower head-to-head signal than the composite indexes.
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.
o3-mini also accepts a larger context window (200,000 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Devstral Small 1.1
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- 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 o3-mini
- you process long inputs — it offers a 200,000 token context window
At a glance
The differences that matter most.
Individual benchmarks
1 reported for Devstral Small 1.1 · 25 for o3-mini
Devstral Small 1.1 outperforms in 1 benchmarks (SWE-Bench Verified), while o3-mini is better at 0 benchmarks.
Devstral Small 1.1 significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Devstral Small 1.1 ($0.10/1M tokens) is 11.0x cheaper than o3-mini ($1.10/1M tokens).
For output processing, Devstral Small 1.1 ($0.30/1M tokens) is 14.7x cheaper than o3-mini ($4.40/1M tokens).
In conclusion, o3-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
o3-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 o3-mini is limited to 100,000 tokens.
License
Usage and distribution terms
Devstral Small 1.1 is licensed under Apache 2.0, while o3-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 o3-mini was released on 2025-01-30.
Devstral Small 1.1 is 5 months newer than o3-mini.
Jul 11, 2025
1.2 years ago
5mo newerJan 30, 2025
1.6 years ago
Knowledge Cutoff
When training data ends
o3-mini has a documented knowledge cutoff of 2023-09-30, while Devstral Small 1.1's cutoff date is not specified.
We can confirm o3-mini's training data extends to 2023-09-30, but cannot make a direct comparison without Devstral Small 1.1's cutoff date.
—
Sep 2023
Provider Availability
Devstral Small 1.1 is available from Mistral AI. o3-mini is available from Azure, OpenAI.
Devstral Small 1.1
o3-mini
Outputs Comparison
Judge for yourself.
Run your own prompts against Devstral Small 1.1 and o3-mini side-by-side, then vote on the output you prefer.
FAQ
Common questions about Devstral Small 1.1 vs o3-mini.