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Gemini 3.1 Pro vs Mistral Large 3 (675B Instruct 2512)

Gemini 3.1 Pro leads the LLM Stats Score 43.4 to 9.0. Mistral Large 3 (675B Instruct 2512) is 6.0x cheaper per token.

Google · Mistral AI · Updated for 2026

Which is better?

Gemini 3.1 Pro leads the overall LLM Stats Score 43.4 to 9.0, ranking #39 overall.

In the 2 individual benchmarks reported for both models, Gemini 3.1 Pro wins 2; this is a narrower head-to-head signal than the composite indexes.

On price, Mistral Large 3 (675B Instruct 2512) is roughly 6.0x 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 43.4 and ranks #39 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 2 of 2 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 (675B Instruct 2512)

  • cost matters — it's about 6.0x cheaper per token
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Gemini 3.1 Pro
Google
Mistral Large 3 (675B Instruct 2512)
Mistral AI
Core performance indexes
LLM Stats Score
43.4
#39
9.0
#270
Reasoning
45.0
#29
9.2
#264
Coding
31.3
#44
1.5
#229
Cost, coverage & limits
Benchmark wins
2 of 2
0 of 2
Input price
$2.00 / M
$0.50 / M
Output price
$12.00 / M
$1.50 / M
Context window
1,000,000
262,100

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Gemini 3.1 Pro
Mistral Large 3 (675B Instruct 2512)
Math
42.4#5
18.9#173
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

20 reported for Gemini 3.1 Pro · 5 for Mistral Large 3 (675B Instruct 2512)

2 shared

Gemini 3.1 Pro outperforms in 2 benchmarks (GPQA, MMMLU), while Mistral Large 3 (675B Instruct 2512) is better at 0 benchmarks.

Gemini 3.1 Pro significantly outperforms across most benchmarks.

Mon Sep 14 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Mistral Large 3 (675B Instruct 2512) costs less

For input processing, Gemini 3.1 Pro ($2.00/1M tokens) is 4.0x more expensive than Mistral Large 3 (675B Instruct 2512) ($0.50/1M tokens).

For output processing, Gemini 3.1 Pro ($12.00/1M tokens) is 8.0x more expensive than Mistral Large 3 (675B Instruct 2512) ($1.50/1M tokens).

In conclusion, Gemini 3.1 Pro is more expensive than Mistral Large 3 (675B Instruct 2512).*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Mon Sep 14 2026 • llm-stats.com
Google
Gemini 3.1 Pro
Input tokens$2.00
Output tokens$12.00
Best providerDeepinfra
Mistral AI
Mistral Large 3 (675B Instruct 2512)
Input tokens$0.50
Output tokens$1.50
Best providerMistral
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Gemini 3.1 Pro accepts 1,000,000 input tokens compared to Mistral Large 3 (675B Instruct 2512)'s 262,100 tokens. Gemini 3.1 Pro can generate longer responses up to 1,000,000 tokens, while Mistral Large 3 (675B Instruct 2512) is limited to 262,100 tokens.

Google
Gemini 3.1 Pro
Input1,000,000 tokens
Output1,000,000 tokens
Mistral AI
Mistral Large 3 (675B Instruct 2512)
Input262,100 tokens
Output262,100 tokens
Mon Sep 14 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Gemini 3.1 Pro and Mistral Large 3 (675B Instruct 2512) support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Gemini 3.1 Pro

Text
Images
Audio
Video

Mistral Large 3 (675B Instruct 2512)

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 3.1 Pro is licensed under a proprietary license, while Mistral Large 3 (675B Instruct 2512) uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

Gemini 3.1 Pro

Proprietary

Closed source

Mistral Large 3 (675B Instruct 2512)

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 (675B Instruct 2512) was released on 2025-12-04.

Gemini 3.1 Pro is 3 months newer than Mistral Large 3 (675B Instruct 2512).

Gemini 3.1 Pro

Feb 19, 2026

6 months ago

2mo newer
Mistral Large 3 (675B Instruct 2512)

Dec 4, 2025

9 months ago

Knowledge Cutoff

When training data ends

Gemini 3.1 Pro has a documented knowledge cutoff of 2025-01-31, while Mistral Large 3 (675B Instruct 2512)'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 (675B Instruct 2512)'s cutoff date.

Gemini 3.1 Pro

Jan 2025

Mistral Large 3 (675B Instruct 2512)

—

Provider Availability

Gemini 3.1 Pro is available from DeepInfra, Google. Mistral Large 3 (675B Instruct 2512) is available from Mistral AI.

Gemini 3.1 Pro

deepinfra logo
Deepinfra
Input Price:Input: $2.00/1MOutput Price:Output: $12.00/1M
google logo
Google
Input Price:Input: $2.50/1MOutput Price:Output: $15.00/1M

Mistral Large 3 (675B Instruct 2512)

mistral logo
Mistral
Input Price:Input: $0.50/1MOutput Price:Output: $1.50/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Gemini 3.1 Pro and Mistral Large 3 (675B Instruct 2512) side-by-side, then vote on the output you prefer.

Gemini 3.1 Pro
✓ Preferred
Mistral Large 3 (675B Instruct 2512)
Open in Playground

FAQ

Common questions about Gemini 3.1 Pro vs Mistral Large 3 (675B Instruct 2512).

Which is better, Gemini 3.1 Pro or Mistral Large 3 (675B Instruct 2512)?

Gemini 3.1 Pro leads the LLM Stats Score 43.4 to 9.0. Gemini 3.1 Pro is made by Google and Mistral Large 3 (675B Instruct 2512) is made by Mistral AI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Gemini 3.1 Pro compare to Mistral Large 3 (675B Instruct 2512) in benchmarks?

Gemini 3.1 Pro scores t2-bench: 99.3%, LiveCodeBench Pro: 96.2%, GPQA: 94.3%, MMMLU: 92.6%, BrowseComp: 85.9%. Mistral Large 3 (675B Instruct 2512) scores MMMLU: 85.5%, AMC_2022_23: 52.0%, GPQA: 43.9%, LiveCodeBench: 34.4%, SimpleQA: 23.8%.

Is Gemini 3.1 Pro cheaper than Mistral Large 3 (675B Instruct 2512)?

Mistral Large 3 (675B Instruct 2512) is 4.0x cheaper for input tokens. Gemini 3.1 Pro costs $2.00/M input and $12.00/M output via deepinfra. Mistral Large 3 (675B Instruct 2512) costs $0.50/M input and $1.50/M output via mistral.

What are the context window sizes for Gemini 3.1 Pro and Mistral Large 3 (675B Instruct 2512)?

Gemini 3.1 Pro supports 1.0M tokens and Mistral Large 3 (675B Instruct 2512) supports 262K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemini 3.1 Pro and Mistral Large 3 (675B Instruct 2512)?

Key differences include LLM Stats Score (43.4 vs 9.0), context window (1.0M vs 262K), input pricing ($2.00 vs $0.50/M), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 3.1 Pro and Mistral Large 3 (675B Instruct 2512)?

Gemini 3.1 Pro is developed by Google and Mistral Large 3 (675B Instruct 2512) is developed by Mistral AI.

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