Gemini 3.6 Flash vs Mistral Large 4
Gemini 3.6 Flash and Mistral Large 4 are closely matched at 42.5 and 46.2 on the LLM Stats Score. Mistral Large 4 is 2.9x cheaper per token.
Google · Mistral AI · Updated for 2026
Which is better?
Gemini 3.6 Flash and Mistral Large 4 are closely matched on the overall LLM Stats Score at 42.5 and 46.2.
In the 1 individual benchmarks reported for both models, Mistral Large 4 wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, Mistral Large 4 is roughly 2.9x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Gemini 3.6 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 3.6 Flash
- you process long inputs — it offers a 1,048,576 token context window
Choose Mistral Large 4
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- cost matters — it's about 2.9x cheaper per token
- you want the most recent training data — it shipped Oct 2026
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
7 reported for Gemini 3.6 Flash · 18 for Mistral Large 4
Gemini 3.6 Flash outperforms in 0 benchmarks, while Mistral Large 4 is better at 1 benchmark (DeepSWE 1.1).
Mistral Large 4 significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Gemini 3.6 Flash ($1.50/1M tokens) is 2.2x more expensive than Mistral Large 4 ($0.68/1M tokens).
For output processing, Gemini 3.6 Flash ($7.50/1M tokens) is 3.6x more expensive than Mistral Large 4 ($2.09/1M tokens).
In conclusion, Gemini 3.6 Flash is more expensive than Mistral Large 4.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Gemini 3.6 Flash accepts 1,048,576 input tokens compared to Mistral Large 4's 1,000,000 tokens. Only Gemini 3.6 Flash specifies output context (65,536 tokens).
Input capabilities
Documented input modalities across available providers
Both Gemini 3.6 Flash and Mistral Large 4 support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemini 3.6 Flash
Mistral Large 4
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
Gemini 3.6 Flash was released on 2026-07-21, while Mistral Large 4 was released on 2026-10-06.
Mistral Large 4 is 3 months newer than Gemini 3.6 Flash.
Jul 21, 2026
2 months ago
Oct 6, 2026
6 days ago
2mo newerKnowledge Cutoff
When training data ends
Gemini 3.6 Flash has a documented knowledge cutoff of 2026-03-31, while Mistral Large 4's cutoff date is not specified.
We can confirm Gemini 3.6 Flash's training data extends to 2026-03-31, but cannot make a direct comparison without Mistral Large 4's cutoff date.
Mar 2026
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Provider Availability
Gemini 3.6 Flash is available from Google. Mistral Large 4 is available from Mistral AI.
Gemini 3.6 Flash
Mistral Large 4
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemini 3.6 Flash and Mistral Large 4 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemini 3.6 Flash vs Mistral Large 4.