Model Comparison
Gemini 3.5 Flash-Lite vs Mistral Small 4Which is better in 2026?
Comparing Gemini 3.5 Flash-Lite and Mistral Small 4 across benchmarks, pricing, and capabilities.
Verdict: Gemini 3.5 Flash-Lite vs Mistral Small 4 — which is better?
Gemini 3.5 Flash-Lite (by Google) and Mistral Small 4 (by Mistral AI) 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.
On price, Mistral Small 4 is roughly 3.2x 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.
Choose Gemini 3.5 Flash-Lite if…
- 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 4 if…
- cost matters — it's about 3.2x cheaper per token
- you need open weights you can self-host or fine-tune
Performance Benchmarks
Comparative analysis across standard metrics
Gemini 3.5 Flash-Lite and Mistral Small 4don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Gemini 3.5 Flash-Lite ($0.30/1M tokens) is 2.0x more expensive than Mistral Small 4 ($0.15/1M tokens).
For output processing, Gemini 3.5 Flash-Lite ($2.50/1M tokens) is 4.2x more expensive than Mistral Small 4 ($0.60/1M tokens).
In conclusion, Gemini 3.5 Flash-Lite is more expensive than Mistral Small 4.*
* 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 4's 256,000 tokens. Mistral Small 4 can generate longer responses up to 256,000 tokens, while Gemini 3.5 Flash-Lite is limited to 65,536 tokens.
Input Capabilities
Supported data types and modalities
Both Gemini 3.5 Flash-Lite and Mistral Small 4 support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemini 3.5 Flash-Lite
Mistral Small 4
License
Usage and distribution terms
Gemini 3.5 Flash-Lite is licensed under a proprietary license, while Mistral Small 4 uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Apache 2.0
Open weights
Release Timeline
When each model was launched
Gemini 3.5 Flash-Lite was released on 2026-07-21, while Mistral Small 4 was released on 2026-03-16.
Gemini 3.5 Flash-Lite is 4 months newer than Mistral Small 4.
Jul 21, 2026
6 days ago
4mo newerMar 16, 2026
4 months ago
Knowledge Cutoff
When training data ends
Gemini 3.5 Flash-Lite has a documented knowledge cutoff of 2026-03-31, while Mistral Small 4'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 4's cutoff date.
Mar 2026
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Provider Availability
Gemini 3.5 Flash-Lite is available from Google. Mistral Small 4 is available from Mistral AI.
Gemini 3.5 Flash-Lite
Mistral Small 4
Outputs Comparison
Key Takeaways
Mistral Small 4
View detailsMistral AI
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against Gemini 3.5 Flash-Lite and Mistral Small 4 side-by-side, then vote on the output you prefer.
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FAQ
Common questions about Gemini 3.5 Flash-Lite vs Mistral Small 4.