Model Comparison
Devstral Medium vs Gemini 2.5 ProWhich is better in 2026?
Gemini 2.5 Pro significantly outperforms across most benchmarks. Devstral Medium is 4.3x cheaper per token.
Verdict: Devstral Medium vs Gemini 2.5 Pro — which is better?
Devstral Medium (by Mistral AI) and Gemini 2.5 Pro (by Google) 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 0 benchmarks, while Gemini 2.5 Pro is better at 1 benchmark (SWE-Bench Verified). Gemini 2.5 Pro significantly outperforms across most benchmarks.
On price, Devstral Medium is roughly 4.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Gemini 2.5 Pro also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.
Choose Devstral Medium if…
- cost matters — it's about 4.3x cheaper per token
- you want the most recent training data — it shipped Jul 2025
Choose Gemini 2.5 Pro if…
- you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
- you process long inputs — it offers a 1,048,576 token context window
Performance Benchmarks
Comparative analysis across standard metrics
Devstral Medium outperforms in 0 benchmarks, while Gemini 2.5 Pro is better at 1 benchmark (SWE-Bench Verified).
Gemini 2.5 Pro 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 3.1x cheaper than Gemini 2.5 Pro ($1.25/1M tokens).
For output processing, Devstral Medium ($2.00/1M tokens) is 5.0x cheaper than Gemini 2.5 Pro ($10.00/1M tokens).
In conclusion, Gemini 2.5 Pro is more expensive than Devstral Medium.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Gemini 2.5 Pro accepts 1,048,576 input tokens compared to Devstral Medium's 128,000 tokens. Devstral Medium can generate longer responses up to 128,000 tokens, while Gemini 2.5 Pro is limited to 65,536 tokens.
Input Capabilities
Supported data types and modalities
Gemini 2.5 Pro supports multimodal inputs, whereas Devstral Medium does not.
Gemini 2.5 Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.
Devstral Medium
Gemini 2.5 Pro
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 Gemini 2.5 Pro was released on 2025-05-20.
Devstral Medium is 2 months newer than Gemini 2.5 Pro.
Jul 10, 2025
1.0 years ago
1mo newerMay 20, 2025
1.2 years ago
Knowledge Cutoff
When training data ends
Gemini 2.5 Pro has a documented knowledge cutoff of 2025-01-31, while Devstral Medium's cutoff date is not specified.
We can confirm Gemini 2.5 Pro's training data extends to 2025-01-31, but cannot make a direct comparison without Devstral Medium's cutoff date.
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Jan 2025
Provider Availability
Devstral Medium is available from Mistral AI. Gemini 2.5 Pro is available from Google.
Devstral Medium
Gemini 2.5 Pro
Outputs Comparison
Key Takeaways
Devstral Medium
View detailsMistral AI
Devstral MediumGemini 2.5 ProDetailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against Devstral Medium and Gemini 2.5 Pro side-by-side, then vote on the output you prefer.
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FAQ
Common questions about Devstral Medium vs Gemini 2.5 Pro.