Devstral Small 1.1 vs GPT-4.1 mini
Devstral Small 1.1 significantly outperforms across most benchmarks. Devstral Small 1.1 is 4.7x cheaper per token.
Mistral AI · OpenAI · Updated for 2026
Which is better?
Devstral Small 1.1 outperforms in 1 benchmarks (SWE-Bench Verified), while GPT-4.1 mini is better at 0 benchmarks. Devstral Small 1.1 significantly outperforms across most benchmarks.
On price, Devstral Small 1.1 is roughly 4.7x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-4.1 mini also accepts a larger context window (1,047,576 input tokens), making it the stronger choice for long documents and large codebases.
Based on current benchmark, pricing, and model metadata for 2026.
Choose Devstral Small 1.1
- you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
- cost matters — it's about 4.7x 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 GPT-4.1 mini
- you process long inputs — it offers a 1,047,576 token context window
At a glance
The differences that matter most.
Performance Benchmarks
Comparative analysis across standard metrics
Devstral Small 1.1 outperforms in 1 benchmarks (SWE-Bench Verified), while GPT-4.1 mini is better at 0 benchmarks.
Devstral Small 1.1 significantly outperforms across most benchmarks.
Arena Performance
Playground indexes and blind preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Devstral Small 1.1 ($0.10/1M tokens) is 4.0x cheaper than GPT-4.1 mini ($0.40/1M tokens).
For output processing, Devstral Small 1.1 ($0.30/1M tokens) is 5.3x cheaper than GPT-4.1 mini ($1.60/1M tokens).
In conclusion, GPT-4.1 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
GPT-4.1 mini accepts 1,047,576 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 GPT-4.1 mini is limited to 32,768 tokens.
Input Capabilities
Supported data types and modalities
GPT-4.1 mini supports multimodal inputs, whereas Devstral Small 1.1 does not.
GPT-4.1 mini can handle both text and other forms of data like images, making it suitable for multimodal applications.
Devstral Small 1.1
GPT-4.1 mini
License
Usage and distribution terms
Devstral Small 1.1 is licensed under Apache 2.0, while GPT-4.1 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 GPT-4.1 mini was released on 2025-04-14.
Devstral Small 1.1 is 3 months newer than GPT-4.1 mini.
Jul 11, 2025
1.1 years ago
2mo newerApr 14, 2025
1.4 years ago
Knowledge Cutoff
When training data ends
GPT-4.1 mini has a documented knowledge cutoff of 2024-05-31, while Devstral Small 1.1's cutoff date is not specified.
We can confirm GPT-4.1 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. GPT-4.1 mini is available from OpenAI.
Devstral Small 1.1
GPT-4.1 mini
Outputs Comparison
Judge for yourself.
Run your own prompts against Devstral Small 1.1 and GPT-4.1 mini side-by-side, then vote on the output you prefer.
FAQ
Common questions about Devstral Small 1.1 vs GPT-4.1 mini.