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Gemini 4 Carbon vs Mistral Large 4

Gemini 4 Carbon leads the LLM Stats Score 59.0 to 46.8.

Google · Mistral AI · Updated for 2026

Which is better?

Gemini 4 Carbon leads the overall LLM Stats Score 59.0 to 46.8, ranking #2 overall.

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.

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

Choose Gemini 4 Carbon

  • overall performance matters — it scores 59.0 and ranks #2 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you want the most recent training data — it shipped Oct 2026

Choose Mistral Large 4

  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Gemini 4 Carbon
Google
Mistral Large 4
Mistral AI
Core performance indexes
LLM Stats Score
59.0
#2
46.8
#41
Reasoning
54.9
#5
45.2
#38
Coding
48.1
#3
36.8
#31
Agents
46.0
#2
35.0
#30
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
— / M
$0.70 / M
Output price
— / M
$2.10 / M
Context window
—
1,000,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

4 shared
Index
Gemini 4 Carbon
Mistral Large 4
Vision
36.0#12
1.4#200
Tool use
35.8#3
30.9#11
Multimodal
38.0#6
1.9#171
Safety
33.0#1
14.6#17
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

16 reported for Gemini 4 Carbon · 20 for Mistral Large 4

1 shared

Gemini 4 Carbon outperforms in 0 benchmarks, while Mistral Large 4 is better at 1 benchmark (AutomationBench).

Mistral Large 4 significantly outperforms across most benchmarks.

Thu Oct 29 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only Mistral Large 4 specifies input context (1,000,000 tokens).

Google
Gemini 4 Carbon
Input- tokens
Output- tokens
Mistral AI
Mistral Large 4
Input1,000,000 tokens
Output- tokens
Thu Oct 29 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Gemini 4 Carbon and Mistral Large 4 support multimodal inputs.

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

Gemini 4 Carbon

Text
Images
Audio
Video

Mistral Large 4

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 4 Carbon is licensed under a proprietary license, while Mistral Large 4 uses Modified MIT License.

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

Gemini 4 Carbon

Proprietary

Closed source

Mistral Large 4

Modified MIT License

Open weights

Release Timeline

When each model was launched

Gemini 4 Carbon was released on 2026-10-28, while Mistral Large 4 was released on 2026-10-06.

Gemini 4 Carbon is 1 month newer than Mistral Large 4.

Gemini 4 Carbon

Oct 28, 2026

-2 days ago

3w newer
Mistral Large 4

Oct 6, 2026

2 weeks ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

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

Gemini 4 Carbon
✓ Preferred
Mistral Large 4
Open in Playground

FAQ

Common questions about Gemini 4 Carbon vs Mistral Large 4.

Which is better, Gemini 4 Carbon or Mistral Large 4?

Gemini 4 Carbon leads the LLM Stats Score 59.0 to 46.8. Gemini 4 Carbon 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 4 Carbon compare to Mistral Large 4 in benchmarks?

Gemini 4 Carbon scores Gray Swan IPI Benchmark: 100.0%, Vending-Bench 2: 100.0%, Graphwalks BFS >128k: 96.2%, WebDev Arena: 88.4%, SEC-bench Pro: 88.2%. Mistral Large 4 scores B3 AI Security Benchmark: 97.1%, CyBench: 93.0%, SciCode: 91.8%, KORABench: 84.5%, BrowseComp: 84.5%.

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

Gemini 4 Carbon supports an unknown number of 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 4 Carbon and Mistral Large 4?

Key differences include LLM Stats Score (59.0 vs 46.8), licensing (Proprietary vs Modified MIT License). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 4 Carbon and Mistral Large 4?

Gemini 4 Carbon is developed by Google and Mistral Large 4 is developed by Mistral AI.

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