Gemini 3.8 Flash vs Mistral Large 3
Gemini 3.8 Flash leads the LLM Stats Score 50.6 to 10.4. Gemini 3.8 Flash is 1.8x cheaper per token.
Google · Mistral AI · Updated for 2026
Which is better?
Gemini 3.8 Flash leads the overall LLM Stats Score 50.6 to 10.4, ranking #16 overall.
On price, Gemini 3.8 Flash is roughly 1.8x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Gemini 3.8 Flash 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 3.8 Flash
- overall performance matters — it scores 50.6 and ranks #16 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- cost matters — it's about 1.8x cheaper per token
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Sep 2026
Choose Mistral Large 3
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Individual benchmarks
13 reported for Gemini 3.8 Flash · 8 for Mistral Large 3
Gemini 3.8 Flash and Mistral Large 3don'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 3.8 Flash ($0.75/1M tokens) is 2.7x cheaper than Mistral Large 3 ($2.00/1M tokens).
For output processing, Gemini 3.8 Flash ($3.75/1M tokens) is 1.3x cheaper than Mistral Large 3 ($5.00/1M tokens).
In conclusion, Mistral Large 3 is more expensive than Gemini 3.8 Flash.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Gemini 3.8 Flash accepts 1,048,576 input tokens compared to Mistral Large 3's 128,000 tokens. Gemini 3.8 Flash can generate longer responses up to 65,536 tokens, while Mistral Large 3 is limited to 8,192 tokens.
Input capabilities
Documented input modalities across available providers
Both Gemini 3.8 Flash and Mistral Large 3 support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemini 3.8 Flash
Mistral Large 3
License
Usage and distribution terms
Gemini 3.8 Flash is licensed under a proprietary license, while Mistral Large 3 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 3.8 Flash was released on 2026-09-02, while Mistral Large 3 was released on 2025-09-01.
Gemini 3.8 Flash is 12 months newer than Mistral Large 3.
Sep 2, 2026
1 weeks ago
1.0yr newerSep 1, 2025
1.0 years ago
Knowledge Cutoff
When training data ends
Gemini 3.8 Flash has a documented knowledge cutoff of 2026-03-31, while Mistral Large 3's cutoff date is not specified.
We can confirm Gemini 3.8 Flash's training data extends to 2026-03-31, but cannot make a direct comparison without Mistral Large 3's cutoff date.
Mar 2026
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Provider Availability
Gemini 3.8 Flash is available from Google. Mistral Large 3 is available from Mistral AI.
Gemini 3.8 Flash
Mistral Large 3
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemini 3.8 Flash and Mistral Large 3 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemini 3.8 Flash vs Mistral Large 3.