Gemini 3.5 Flash-Lite vs Mistral Small
Comparing Gemini 3.5 Flash-Lite and Mistral Small across benchmarks, pricing, and capabilities.
Google · Mistral AI · Updated for 2026
Which is better?
Gemini 3.5 Flash-Lite and Mistral Small trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.
On price, Mistral Small is roughly 2.8x 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 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
Choose Mistral Small
- cost matters — it's about 2.8x cheaper per token
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Individual benchmarks
6 reported for Gemini 3.5 Flash-Lite · 0 for Mistral Small
Gemini 3.5 Flash-Lite and Mistral Smalldon'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, Gemini 3.5 Flash-Lite ($0.30/1M tokens) is 1.5x more expensive than Mistral Small ($0.20/1M tokens).
For output processing, Gemini 3.5 Flash-Lite ($2.50/1M tokens) is 4.2x more expensive than Mistral Small ($0.60/1M tokens).
In conclusion, Gemini 3.5 Flash-Lite is more expensive than Mistral Small.*
* 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 Mistral Small's 32,768 tokens. Gemini 3.5 Flash-Lite can generate longer responses up to 65,536 tokens, while Mistral Small is limited to 32,768 tokens.
Input capabilities
Documented input modalities across available providers
Gemini 3.5 Flash-Lite supports multimodal inputs, whereas Mistral Small does not.
Gemini 3.5 Flash-Lite can handle both text and other forms of data like images, making it suitable for multimodal applications.
Gemini 3.5 Flash-Lite
Mistral Small
License
Usage and distribution terms
Gemini 3.5 Flash-Lite is licensed under a proprietary license, while Mistral Small uses Mistral Research License.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Mistral Research License
Open weights
Release Timeline
When each model was launched
Gemini 3.5 Flash-Lite was released on 2026-07-21, while Mistral Small was released on 2024-09-17.
Gemini 3.5 Flash-Lite is 22 months newer than Mistral Small.
Jul 21, 2026
1 months ago
1.8yr newerSep 17, 2024
2.0 years ago
Knowledge Cutoff
When training data ends
Gemini 3.5 Flash-Lite has a documented knowledge cutoff of 2026-03-31, while Mistral Small'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 Mistral Small's cutoff date.
Mar 2026
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Provider Availability
Gemini 3.5 Flash-Lite is available from Google. Mistral Small is available from Mistral AI.
Gemini 3.5 Flash-Lite
Mistral Small
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemini 3.5 Flash-Lite and Mistral Small side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemini 3.5 Flash-Lite vs Mistral Small.