Devstral Medium vs Gemini 1.5 Pro
Devstral Medium leads the LLM Stats Score 13.9 to 12.1. Devstral Medium is 5.5x cheaper per token.
Mistral AI · Google · Updated for 2026
Which is better?
Devstral Medium leads the overall LLM Stats Score 13.9 to 12.1, ranking #230 overall.
On price, Devstral Medium is roughly 5.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Gemini 1.5 Pro also accepts a larger context window (2,097,152 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 13.9 and ranks #230 on LLM Stats
- cost matters — it's about 5.5x cheaper per token
- you want the most recent training data — it shipped Jul 2025
Choose Gemini 1.5 Pro
- you process long inputs — it offers a 2,097,152 token context window
At a glance
The differences that matter most.
Individual benchmarks
1 reported for Devstral Medium · 23 for Gemini 1.5 Pro
Devstral Medium and Gemini 1.5 Prodon'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 6.3x cheaper than Gemini 1.5 Pro ($2.50/1M tokens).
For output processing, Devstral Medium ($2.00/1M tokens) is 5.0x cheaper than Gemini 1.5 Pro ($10.00/1M tokens).
In conclusion, Gemini 1.5 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 1.5 Pro accepts 2,097,152 input tokens compared to Devstral Medium's 128,000 tokens. Devstral Medium can generate longer responses up to 128,000 tokens, while Gemini 1.5 Pro is limited to 8,192 tokens.
Input capabilities
Documented input modalities across available providers
Gemini 1.5 Pro supports multimodal inputs, whereas Devstral Medium does not.
Gemini 1.5 Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.
Devstral Medium
Gemini 1.5 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 1.5 Pro was released on 2024-05-01.
Devstral Medium is 15 months newer than Gemini 1.5 Pro.
Jul 10, 2025
1.2 years ago
1.2yr newerMay 1, 2024
2.3 years ago
Knowledge Cutoff
When training data ends
Gemini 1.5 Pro has a documented knowledge cutoff of 2023-11-01, while Devstral Medium's cutoff date is not specified.
We can confirm Gemini 1.5 Pro's training data extends to 2023-11-01, but cannot make a direct comparison without Devstral Medium's cutoff date.
—
Nov 2023
Provider Availability
Devstral Medium is available from Mistral AI. Gemini 1.5 Pro is available from Google.
Devstral Medium
Gemini 1.5 Pro
Outputs Comparison
Judge for yourself.
Run your own prompts against Devstral Medium and Gemini 1.5 Pro side-by-side, then vote on the output you prefer.
FAQ
Common questions about Devstral Medium vs Gemini 1.5 Pro.