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Gemini 4 Argon vs Mistral Small 3.2 24B Instruct

Gemini 4 Argon leads the LLM Stats Score 55.1 to 8.4.

Google · Mistral AI · Updated for 2026

Which is better?

Gemini 4 Argon leads the overall LLM Stats Score 55.1 to 8.4, ranking #4 overall.

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 — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 2026

Choose Mistral Small 3.2 24B Instruct

  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Gemini 4 Argon
Google
Mistral Small 3.2 24B Instruct
Mistral AI
Core performance indexes
LLM Stats Score
55.1
#4
8.4
#294
Reasoning
52.4
#7
7.9
#295
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.07 / M
Output price
— / M
$0.20 / M
Context window
—
128,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
Gemini 4 Argon
Mistral Small 3.2 24B Instruct
Vision
36.8#8
10.1#132
Multimodal
36.9#8
13.1#112
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

19 reported for Gemini 4 Argon · 15 for Mistral Small 3.2 24B Instruct

No common benchmarks found

Gemini 4 Argon and Mistral Small 3.2 24B Instructdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only Mistral Small 3.2 24B Instruct specifies input context (128,000 tokens). Only Mistral Small 3.2 24B Instruct specifies output context (128,000 tokens).

Google
Gemini 4 Argon
Input- tokens
Output- tokens
Mistral AI
Mistral Small 3.2 24B Instruct
Input128,000 tokens
Output128,000 tokens
Thu Oct 08 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Gemini 4 Argon and Mistral Small 3.2 24B Instruct 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 Small 3.2 24B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 4 Argon is licensed under a proprietary license, while Mistral Small 3.2 24B Instruct uses Apache 2.0.

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

Gemini 4 Argon

Proprietary

Closed source

Mistral Small 3.2 24B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemini 4 Argon was released on 2026-09-30, while Mistral Small 3.2 24B Instruct was released on 2025-06-20.

Gemini 4 Argon is 16 months newer than Mistral Small 3.2 24B Instruct.

Gemini 4 Argon

Sep 30, 2026

1 weeks ago

1.3yr newer
Mistral Small 3.2 24B Instruct

Jun 20, 2025

1.3 years ago

Knowledge Cutoff

When training data ends

Mistral Small 3.2 24B Instruct has a documented knowledge cutoff of 2023-10-01, while Gemini 4 Argon's cutoff date is not specified.

We can confirm Mistral Small 3.2 24B Instruct's training data extends to 2023-10-01, but cannot make a direct comparison without Gemini 4 Argon's cutoff date.

Gemini 4 Argon

—

Mistral Small 3.2 24B Instruct

Oct 2023

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Gemini 4 Argon and Mistral Small 3.2 24B Instruct side-by-side, then vote on the output you prefer.

Gemini 4 Argon
✓ Preferred
Mistral Small 3.2 24B Instruct
Open in Playground

FAQ

Common questions about Gemini 4 Argon vs Mistral Small 3.2 24B Instruct.

Which is better, Gemini 4 Argon or Mistral Small 3.2 24B Instruct?

Gemini 4 Argon leads the LLM Stats Score 55.1 to 8.4. Gemini 4 Argon is made by Google and Mistral Small 3.2 24B Instruct 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 Small 3.2 24B Instruct 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 Small 3.2 24B Instruct scores DocVQA: 94.9%, AI2D: 92.9%, HumanEval Plus: 92.9%, ChartQA: 87.4%, IF: 84.8%.

What are the context window sizes for Gemini 4 Argon and Mistral Small 3.2 24B Instruct?

Gemini 4 Argon supports an unknown number of tokens and Mistral Small 3.2 24B Instruct supports 128K 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 Small 3.2 24B Instruct?

Key differences include LLM Stats Score (55.1 vs 8.4), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 4 Argon and Mistral Small 3.2 24B Instruct?

Gemini 4 Argon is developed by Google and Mistral Small 3.2 24B Instruct is developed by Mistral AI.

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