Gemini 2.0 Flash vs Mistral Large 3
Gemini 2.0 Flash and Mistral Large 3 are closely matched at 16.5 and 10.4 on the LLM Stats Score. Gemini 2.0 Flash is 15.7x cheaper per token.
Google · Mistral AI · Updated for 2026
Which is better?
Gemini 2.0 Flash and Mistral Large 3 are closely matched on the overall LLM Stats Score at 16.5 and 10.4.
In the 1 individual benchmarks reported for both models, Mistral Large 3 wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, Gemini 2.0 Flash is roughly 15.7x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Gemini 2.0 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 2.0 Flash
- your work emphasizes reasoning — it leads those capability indexes
- cost matters — it's about 15.7x cheaper per token
- you process long inputs — it offers a 1,048,576 token context window
Choose Mistral Large 3
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- you want the most recent training data — it shipped Sep 2025
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
13 reported for Gemini 2.0 Flash · 8 for Mistral Large 3
Gemini 2.0 Flash outperforms in 0 benchmarks, while Mistral Large 3 is better at 1 benchmark (MATH).
Mistral Large 3 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 2.0 Flash ($0.10/1M tokens) is 20.0x cheaper than Mistral Large 3 ($2.00/1M tokens).
For output processing, Gemini 2.0 Flash ($0.40/1M tokens) is 12.5x cheaper than Mistral Large 3 ($5.00/1M tokens).
In conclusion, Mistral Large 3 is more expensive than Gemini 2.0 Flash.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Gemini 2.0 Flash accepts 1,048,576 input tokens compared to Mistral Large 3's 128,000 tokens. Both models can generate responses up to 8,192 tokens.
Input capabilities
Documented input modalities across available providers
Both Gemini 2.0 Flash and Mistral Large 3 support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemini 2.0 Flash
Mistral Large 3
License
Usage and distribution terms
Gemini 2.0 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 2.0 Flash was released on 2024-12-01, while Mistral Large 3 was released on 2025-09-01.
Mistral Large 3 is 9 months newer than Gemini 2.0 Flash.
Dec 1, 2024
1.8 years ago
Sep 1, 2025
1.1 years ago
9mo newerKnowledge Cutoff
When training data ends
Gemini 2.0 Flash has a documented knowledge cutoff of 2024-08-01, while Mistral Large 3's cutoff date is not specified.
We can confirm Gemini 2.0 Flash's training data extends to 2024-08-01, but cannot make a direct comparison without Mistral Large 3's cutoff date.
Aug 2024
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Provider Availability
Gemini 2.0 Flash is available from Google. Mistral Large 3 is available from Mistral AI.
Gemini 2.0 Flash
Mistral Large 3
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemini 2.0 Flash and Mistral Large 3 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemini 2.0 Flash vs Mistral Large 3.