Gemini 3.1 Pro vs Mistral Large 3
Gemini 3.1 Pro leads the LLM Stats Score 43.3 to 10.4. Mistral Large 3 is 1.6x cheaper per token.
Google · Mistral AI · Updated for 2026
Which is better?
Gemini 3.1 Pro leads the overall LLM Stats Score 43.3 to 10.4, ranking #39 overall.
In the 1 individual benchmarks reported for both models, Gemini 3.1 Pro wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, Mistral Large 3 is roughly 1.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Gemini 3.1 Pro also accepts a larger context window (1,000,000 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 3.1 Pro
- overall performance matters — it scores 43.3 and ranks #39 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- you process long inputs — it offers a 1,000,000 token context window
- you want the most recent training data — it shipped Feb 2026
Choose Mistral Large 3
- cost matters — it's about 1.6x cheaper per token
- 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
20 reported for Gemini 3.1 Pro · 8 for Mistral Large 3
Gemini 3.1 Pro outperforms in 1 benchmarks (MMMLU), while Mistral Large 3 is better at 0 benchmarks.
Gemini 3.1 Pro 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 3.1 Pro ($2.00/1M tokens) costs the same as Mistral Large 3 ($2.00/1M tokens).
For output processing, Gemini 3.1 Pro ($12.00/1M tokens) is 2.4x more expensive than Mistral Large 3 ($5.00/1M tokens).
In conclusion, Gemini 3.1 Pro is more expensive than Mistral Large 3.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Gemini 3.1 Pro accepts 1,000,000 input tokens compared to Mistral Large 3's 128,000 tokens. Gemini 3.1 Pro can generate longer responses up to 1,000,000 tokens, while Mistral Large 3 is limited to 8,192 tokens.
Input capabilities
Documented input modalities across available providers
Both Gemini 3.1 Pro and Mistral Large 3 support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemini 3.1 Pro
Mistral Large 3
License
Usage and distribution terms
Gemini 3.1 Pro 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 3.1 Pro was released on 2026-02-19, while Mistral Large 3 was released on 2025-09-01.
Gemini 3.1 Pro is 6 months newer than Mistral Large 3.
Feb 19, 2026
7 months ago
5mo newerSep 1, 2025
1.1 years ago
Knowledge Cutoff
When training data ends
Gemini 3.1 Pro has a documented knowledge cutoff of 2025-01-31, while Mistral Large 3's cutoff date is not specified.
We can confirm Gemini 3.1 Pro's training data extends to 2025-01-31, but cannot make a direct comparison without Mistral Large 3's cutoff date.
Jan 2025
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Provider Availability
Gemini 3.1 Pro is available from DeepInfra, Google. Mistral Large 3 is available from Mistral AI.
Gemini 3.1 Pro
Mistral Large 3
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemini 3.1 Pro and Mistral Large 3 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemini 3.1 Pro vs Mistral Large 3.