Devstral Medium vs GPT-4.1 nano
Devstral Medium leads the LLM Stats Score 13.6 to 1.6. GPT-4.1 nano is 4.6x cheaper per token.
Mistral AI · OpenAI · Updated for 2026
Which is better?
Devstral Medium leads the overall LLM Stats Score 13.6 to 1.6, ranking #243 overall.
On price, GPT-4.1 nano is roughly 4.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-4.1 nano 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 LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Devstral Medium
- overall performance matters — it scores 13.6 and ranks #243 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you want the most recent training data — it shipped Jul 2025
Choose GPT-4.1 nano
- cost matters — it's about 4.6x cheaper per token
- you process long inputs — it offers a 1,047,576 token context window
At a glance
The differences that matter most.
Individual benchmarks
1 reported for Devstral Medium · 24 for GPT-4.1 nano
Devstral Medium and GPT-4.1 nanodon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Devstral Medium ($0.40/1M tokens) is 4.0x more expensive than GPT-4.1 nano ($0.10/1M tokens).
For output processing, Devstral Medium ($2.00/1M tokens) is 5.0x more expensive than GPT-4.1 nano ($0.40/1M tokens).
In conclusion, Devstral Medium is more expensive than GPT-4.1 nano.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GPT-4.1 nano accepts 1,047,576 input tokens compared to Devstral Medium's 128,000 tokens. Devstral Medium can generate longer responses up to 128,000 tokens, while GPT-4.1 nano is limited to 32,768 tokens.
Input capabilities
Documented input modalities across available providers
GPT-4.1 nano supports multimodal inputs, whereas Devstral Medium does not.
GPT-4.1 nano can handle both text and other forms of data like images, making it suitable for multimodal applications.
Devstral Medium
GPT-4.1 nano
License
Usage and distribution terms
Both models are licensed under proprietary licenses.
Both models have usage restrictions defined by their respective organizations.
Proprietary
Closed source
Proprietary
Closed source
Release Timeline
When each model was launched
Devstral Medium was released on 2025-07-10, while GPT-4.1 nano was released on 2025-04-14.
Devstral Medium is 3 months newer than GPT-4.1 nano.
Jul 10, 2025
1.2 years ago
2mo newerApr 14, 2025
1.4 years ago
Knowledge Cutoff
When training data ends
GPT-4.1 nano has a documented knowledge cutoff of 2024-05-31, while Devstral Medium's cutoff date is not specified.
We can confirm GPT-4.1 nano's training data extends to 2024-05-31, but cannot make a direct comparison without Devstral Medium's cutoff date.
—
May 2024
Provider Availability
Devstral Medium is available from Mistral AI. GPT-4.1 nano is available from OpenAI.
Devstral Medium
GPT-4.1 nano
Outputs Comparison
Judge for yourself.
Run your own prompts against Devstral Medium and GPT-4.1 nano side-by-side, then vote on the output you prefer.
FAQ
Common questions about Devstral Medium vs GPT-4.1 nano.