Devstral Medium vs Gemini 3.5 Flash-Lite
Devstral Medium and Gemini 3.5 Flash-Lite are closely matched at 13.6 and 29.7 on the LLM Stats Score. Devstral Medium is 1.1x cheaper per token.
Mistral AI · Google · Updated for 2026
Which is better?
Devstral Medium and Gemini 3.5 Flash-Lite are closely matched on the overall LLM Stats Score at 13.6 and 29.7.
On price, Devstral Medium is roughly 1.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Gemini 3.5 Flash-Lite also accepts a larger context window (1,048,576 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
- cost matters — it's about 1.1x cheaper per token
Choose Gemini 3.5 Flash-Lite
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Jul 2026
At a glance
The differences that matter most.
Individual benchmarks
1 reported for Devstral Medium · 6 for Gemini 3.5 Flash-Lite
Devstral Medium and Gemini 3.5 Flash-Litedon'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 1.3x more expensive than Gemini 3.5 Flash-Lite ($0.30/1M tokens).
For output processing, Devstral Medium ($2.00/1M tokens) is 1.3x cheaper than Gemini 3.5 Flash-Lite ($2.50/1M tokens).
In conclusion, Gemini 3.5 Flash-Lite 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 3.5 Flash-Lite 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 3.5 Flash-Lite is limited to 65,536 tokens.
Input capabilities
Documented input modalities across available providers
Gemini 3.5 Flash-Lite supports multimodal inputs, whereas Devstral Medium does not.
Gemini 3.5 Flash-Lite can handle both text and other forms of data like images, making it suitable for multimodal applications.
Devstral Medium
Gemini 3.5 Flash-Lite
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 3.5 Flash-Lite was released on 2026-07-21.
Gemini 3.5 Flash-Lite is 13 months newer than Devstral Medium.
Jul 10, 2025
1.2 years ago
Jul 21, 2026
2 months ago
1.0yr newerKnowledge Cutoff
When training data ends
Gemini 3.5 Flash-Lite has a documented knowledge cutoff of 2026-03-31, while Devstral Medium's cutoff date is not specified.
We can confirm Gemini 3.5 Flash-Lite's training data extends to 2026-03-31, but cannot make a direct comparison without Devstral Medium's cutoff date.
—
Mar 2026
Provider Availability
Devstral Medium is available from Mistral AI. Gemini 3.5 Flash-Lite is available from Google.
Devstral Medium
Gemini 3.5 Flash-Lite
Outputs Comparison
Judge for yourself.
Run your own prompts against Devstral Medium and Gemini 3.5 Flash-Lite side-by-side, then vote on the output you prefer.
FAQ
Common questions about Devstral Medium vs Gemini 3.5 Flash-Lite.