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Gemini 4 Argon vs Mistral Large 4

Gemini 4 Argon leads the LLM Stats Score 55.1 to 46.2.

Google · Mistral AI · Updated for 2026

Which is better?

Gemini 4 Argon leads the overall LLM Stats Score 55.1 to 46.2, ranking #4 overall.

In the 4 individual benchmarks reported for both models, Gemini 4 Argon wins 3; 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 Argon

  • overall performance matters — it scores 55.1 and ranks #4 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 3 of 4 exact shared results

Choose Mistral Large 4

  • you want the most recent training data — it shipped Oct 2026

At a glance

The differences that matter most.

Gemini 4 Argon
Google
Mistral Large 4
Mistral AI
Core performance indexes
LLM Stats Score
55.1
#4
46.2
#34
Reasoning
52.4
#7
44.0
#43
Coding
44.1
#4
35.8
#27
Agents
40.5
#4
34.3
#26
Cost, coverage & limits
Benchmark wins
3 of 4
1 of 4
Input price
— / M
$0.68 / M
Output price
— / M
$2.09 / M
Context window
—
1,000,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
Gemini 4 Argon
Mistral Large 4
Vision
36.8#8
1.1#187
Tool use
30.6#6
27.1#26
Multimodal
36.9#8
1.7#160
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

19 reported for Gemini 4 Argon · 18 for Mistral Large 4

4 shared

Gemini 4 Argon outperforms in 3 benchmarks (DeepSWE 1.1, Harvey's Legal Agent Benchmark, Terminal-Bench 4.0), while Mistral Large 4 is better at 1 benchmark (AutomationBench).

Gemini 4 Argon shows notably better performance in the majority of benchmarks.

Thu Oct 08 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 Argon
Input- tokens
Output- tokens
Mistral AI
Mistral Large 4
Input1,000,000 tokens
Output- tokens
Thu Oct 08 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

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

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

Gemini 4 Argon

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 4 Argon

Proprietary

Closed source

Mistral Large 4

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 4 Argon was released on 2026-09-30, while Mistral Large 4 was released on 2026-10-06.

Mistral Large 4 is 0 month newer than Gemini 4 Argon.

Gemini 4 Argon

Sep 30, 2026

1 weeks ago

Mistral Large 4

Oct 6, 2026

1 days ago

6d newer

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 Argon and Mistral Large 4 side-by-side, then vote on the output you prefer.

Gemini 4 Argon
✓ Preferred
Mistral Large 4
Open in Playground

FAQ

Common questions about Gemini 4 Argon vs Mistral Large 4.

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

Gemini 4 Argon leads the LLM Stats Score 55.1 to 46.2. Gemini 4 Argon 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 Argon compare to Mistral Large 4 in benchmarks?

Gemini 4 Argon scores Graphwalks BFS <128k: 99.7%, Vibe Code Bench: 91.9%, LVBench: 91.7%, LABBench2: 88.8%, Graphwalks BFS >128k: 84.2%. Mistral Large 4 scores B3 AI Security Benchmark: 93.3%, CyBench: 93.0%, SciCode: 91.8%, KORABench: 84.5%, CyberGym: 82.0%.

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

Gemini 4 Argon 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 Argon and Mistral Large 4?

Key differences include LLM Stats Score (55.1 vs 46.2). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 4 Argon and Mistral Large 4?

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

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