Model Comparison
Devstral Medium vs GPT-4o miniWhich is better in 2026?
Devstral Medium significantly outperforms across most benchmarks. GPT-4o mini is 3.0x cheaper per token.
Verdict: Devstral Medium vs GPT-4o mini — which is better?
Devstral Medium (by Mistral AI) and GPT-4o 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 Medium outperforms in 1 benchmarks (SWE-Bench Verified), while GPT-4o mini is better at 0 benchmarks. Devstral Medium significantly outperforms across most benchmarks.
On price, GPT-4o mini is roughly 3.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Choose Devstral Medium if…
- you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
- you want the most recent training data — it shipped Jul 2025
Choose GPT-4o mini if…
- cost matters — it's about 3.0x cheaper per token
Performance Benchmarks
Comparative analysis across standard metrics
Devstral Medium outperforms in 1 benchmarks (SWE-Bench Verified), while GPT-4o mini is better at 0 benchmarks.
Devstral Medium significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Devstral Medium ($0.40/1M tokens) is 2.7x more expensive than GPT-4o mini ($0.15/1M tokens).
For output processing, Devstral Medium ($2.00/1M tokens) is 3.3x more expensive than GPT-4o mini ($0.60/1M tokens).
In conclusion, Devstral Medium is more expensive than GPT-4o mini.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Both models have the same input context window of 128,000 tokens. Devstral Medium can generate longer responses up to 128,000 tokens, while GPT-4o mini is limited to 16,384 tokens.
Input Capabilities
Supported data types and modalities
GPT-4o mini supports multimodal inputs, whereas Devstral Medium does not.
GPT-4o mini can handle both text and other forms of data like images, making it suitable for multimodal applications.
Devstral Medium
GPT-4o mini
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-4o mini was released on 2024-07-18.
Devstral Medium is 12 months newer than GPT-4o mini.
Jul 10, 2025
1.0 years ago
11mo newerJul 18, 2024
2.0 years ago
Knowledge Cutoff
When training data ends
GPT-4o mini has a documented knowledge cutoff of 2023-10-01, while Devstral Medium's cutoff date is not specified.
We can confirm GPT-4o mini's training data extends to 2023-10-01, but cannot make a direct comparison without Devstral Medium's cutoff date.
—
Oct 2023
Provider Availability
Devstral Medium is available from Mistral AI. GPT-4o mini is available from Azure.
Devstral Medium
GPT-4o mini
Outputs Comparison
Key Takeaways
Devstral Medium
View detailsMistral AI
GPT-4o mini
View detailsOpenAI
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against Devstral Medium and GPT-4o mini side-by-side, then vote on the output you prefer.
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FAQ
Common questions about Devstral Medium vs GPT-4o mini.