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Gemini 3.1 Pro vs Mistral Large 4

Gemini 3.1 Pro and Mistral Large 4 are closely matched at 42.9 and 46.2 on the LLM Stats Score. Mistral Large 4 is 4.4x cheaper per token.

Google · Mistral AI · Updated for 2026

Which is better?

Gemini 3.1 Pro and Mistral Large 4 are closely matched on the overall LLM Stats Score at 42.9 and 46.2.

In the 3 individual benchmarks reported for both models, Mistral Large 4 wins 3; this is a narrower head-to-head signal than the composite indexes.

On price, Mistral Large 4 is roughly 4.4x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Gemini 3.1 Pro

  • you want predictable pricing at $2.00/M input and $12.00/M output

Choose Mistral Large 4

  • your work emphasizes agents — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 3 of 3 exact shared results
  • cost matters — it's about 4.4x cheaper per token
  • you want the most recent training data — it shipped Oct 2026

At a glance

The differences that matter most.

Gemini 3.1 Pro
Google
Mistral Large 4
Mistral AI
Core performance indexes
LLM Stats Score
42.9
#52
46.2
#34
Reasoning
44.6
#39
44.0
#43
Coding
30.0
#55
35.8
#27
Agents
23.7
#63
34.3
#26
Cost, coverage & limits
Benchmark wins
0 of 3
3 of 3
Input price
$2.00 / M
$0.68 / M
Output price
$12.00 / M
$2.09 / M
Context window
1,000,000
1,000,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
Gemini 3.1 Pro
Mistral Large 4
Vision
30.9#31
1.1#187
Tool use
22.8#44
27.1#26
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

20 reported for Gemini 3.1 Pro · 18 for Mistral Large 4

3 shared

Gemini 3.1 Pro outperforms in 0 benchmarks, while Mistral Large 4 is better at 3 benchmarks (DeepSWE 1.1, Finance Agent v2, SciCode).

Mistral Large 4 significantly outperforms across most benchmarks.

Sat Oct 10 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Mistral Large 4 costs less

For input processing, Gemini 3.1 Pro ($2.00/1M tokens) is 2.9x more expensive than Mistral Large 4 ($0.68/1M tokens).

For output processing, Gemini 3.1 Pro ($12.00/1M tokens) is 5.7x more expensive than Mistral Large 4 ($2.09/1M tokens).

In conclusion, Gemini 3.1 Pro is more expensive than Mistral Large 4.*

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

Lowest available price from all providers
Sat Oct 10 2026 • llm-stats.com
Google
Gemini 3.1 Pro
Input tokens$2.00
Output tokens$12.00
Best providerDeepinfra
Mistral AI
Mistral Large 4
Input tokens$0.68
Output tokens$2.09
Best providerMistral
Notice missing or incorrect data?

Context Window

Maximum input and output token capacity

Both models have the same input context window of 1,000,000 tokens. Only Gemini 3.1 Pro specifies output context (1,000,000 tokens).

Google
Gemini 3.1 Pro
Input1,000,000 tokens
Output1,000,000 tokens
Mistral AI
Mistral Large 4
Input1,000,000 tokens
Output- tokens
Sat Oct 10 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Gemini 3.1 Pro and Mistral Large 4 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 4

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under proprietary licenses.

Both models have usage restrictions defined by their respective organizations.

Gemini 3.1 Pro

Proprietary

Closed source

Mistral Large 4

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 3.1 Pro was released on 2026-02-19, while Mistral Large 4 was released on 2026-10-06.

Mistral Large 4 is 8 months newer than Gemini 3.1 Pro.

Gemini 3.1 Pro

Feb 19, 2026

7 months ago

Mistral Large 4

Oct 6, 2026

3 days ago

7mo newer

Knowledge Cutoff

When training data ends

Gemini 3.1 Pro has a documented knowledge cutoff of 2025-01-31, while Mistral Large 4'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 4's cutoff date.

Gemini 3.1 Pro

Jan 2025

Mistral Large 4

—

Provider Availability

Gemini 3.1 Pro is available from DeepInfra, Google. Mistral Large 4 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 4

mistral logo
Mistral
Input Price:Input: $0.68/1MOutput Price:Output: $2.09/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Gemini 3.1 Pro and Mistral Large 4 side-by-side, then vote on the output you prefer.

Gemini 3.1 Pro
✓ Preferred
Mistral Large 4
Open in Playground

FAQ

Common questions about Gemini 3.1 Pro vs Mistral Large 4.

Which is better, Gemini 3.1 Pro or Mistral Large 4?

Gemini 3.1 Pro and Mistral Large 4 are closely matched on the LLM Stats Score at 42.9 and 46.2. Gemini 3.1 Pro is made by Google and Mistral Large 4 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 4 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 4 scores B3 AI Security Benchmark: 93.3%, CyBench: 93.0%, SciCode: 91.8%, KORABench: 84.5%, CyberGym: 82.0%.

Is Gemini 3.1 Pro cheaper than Mistral Large 4?

Mistral Large 4 is 2.9x cheaper for input tokens. Gemini 3.1 Pro costs $2.00/M input and $12.00/M output via deepinfra. Mistral Large 4 costs $0.68/M input and $2.09/M output via mistral.

What are the context window sizes for Gemini 3.1 Pro and Mistral Large 4?

Gemini 3.1 Pro supports 1.0M tokens and Mistral Large 4 supports 1.0M 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 4?

Key differences include LLM Stats Score (42.9 vs 46.2), input pricing ($2.00 vs $0.68/M). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 3.1 Pro and Mistral Large 4?

Gemini 3.1 Pro is developed by Google and Mistral Large 4 is developed by Mistral AI.

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