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Gemini 4 Argon vs Magistral Small 2506

Gemini 4 Argon leads the LLM Stats Score 55.4 to 10.7.

Google · Mistral AI · Updated for 2026

Which is better?

Gemini 4 Argon leads the overall LLM Stats Score 55.4 to 10.7, 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 55.4 and ranks #4 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 2026

Choose Magistral Small 2506

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

At a glance

The differences that matter most.

Gemini 4 Argon
Google
Magistral Small 2506
Mistral AI
Core performance indexes
LLM Stats Score
55.4
#4
10.7
#277
Reasoning
53.3
#6
10.9
#275
Coding
43.0
#7
5.2
#215
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
— / M
Output price
— / M
— / M
Context window
—
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Individual benchmarks

19 reported for Gemini 4 Argon · 4 for Magistral Small 2506

No common benchmarks found

Gemini 4 Argon and Magistral Small 2506don'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

Input capabilities

Documented input modalities across available providers

Gemini 4 Argon supports multimodal inputs, whereas Magistral Small 2506 does not.

Gemini 4 Argon can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 4 Argon

Text
Images
Audio
Video

Magistral Small 2506

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 4 Argon is licensed under a proprietary license, while Magistral Small 2506 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

Magistral Small 2506

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemini 4 Argon was released on 2026-09-30, while Magistral Small 2506 was released on 2025-06-10.

Gemini 4 Argon is 16 months newer than Magistral Small 2506.

Gemini 4 Argon

Sep 30, 2026

2 weeks ago

1.3yr newer
Magistral Small 2506

Jun 10, 2025

1.3 years ago

Knowledge Cutoff

When training data ends

Magistral Small 2506 has a documented knowledge cutoff of 2025-06-01, while Gemini 4 Argon's cutoff date is not specified.

We can confirm Magistral Small 2506's training data extends to 2025-06-01, but cannot make a direct comparison without Gemini 4 Argon's cutoff date.

Gemini 4 Argon

—

Magistral Small 2506

Jun 2025

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Gemini 4 Argon and Magistral Small 2506 side-by-side, then vote on the output you prefer.

Gemini 4 Argon
✓ Preferred
Magistral Small 2506
Open in Playground

FAQ

Common questions about Gemini 4 Argon vs Magistral Small 2506.

Which is better, Gemini 4 Argon or Magistral Small 2506?

Gemini 4 Argon leads the LLM Stats Score 55.4 to 10.7. Gemini 4 Argon is made by Google and Magistral Small 2506 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 Magistral Small 2506 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%. Magistral Small 2506 scores AIME 2024: 70.7%, GPQA: 68.2%, AIME 2025: 62.8%, LiveCodeBench: 51.3%.

What are the main differences between Gemini 4 Argon and Magistral Small 2506?

Key differences include LLM Stats Score (55.4 vs 10.7), multimodal support (yes vs no), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 4 Argon and Magistral Small 2506?

Gemini 4 Argon is developed by Google and Magistral Small 2506 is developed by Mistral AI.

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