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Codestral-22B vs Gemini 4 Argon

Gemini 4 Argon leads the LLM Stats Score 55.1 to 0.0.

Mistral AI · Google · Updated for 2026

Which is better?

Gemini 4 Argon leads the overall LLM Stats Score 55.1 to 0.0, ranking #4 overall.

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

Choose Codestral-22B

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

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 want the most recent training data — it shipped Sep 2026

At a glance

The differences that matter most.

Codestral-22B
Mistral AI
Gemini 4 Argon
Google
Core performance indexes
LLM Stats Score
0.0
#342
55.1
#4
Reasoning
-0.1
#334
52.4
#7
Coding
2.4
#239
44.1
#4
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
— / M
Output price
— / M
— / M
Context window
—
—

Individual benchmarks

7 reported for Codestral-22B · 19 for Gemini 4 Argon

No common benchmarks found

Codestral-22B and Gemini 4 Argondon'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 Codestral-22B does not.

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

Codestral-22B

Text
Images
Audio
Video

Gemini 4 Argon

Text
Images
Audio
Video

License

Usage and distribution terms

Codestral-22B is licensed under MNPL-0.1, while Gemini 4 Argon uses a proprietary license.

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

Codestral-22B

MNPL-0.1

Open weights

Gemini 4 Argon

Proprietary

Closed source

Release Timeline

When each model was launched

Codestral-22B was released on 2024-05-29, while Gemini 4 Argon was released on 2026-09-30.

Gemini 4 Argon is 28 months newer than Codestral-22B.

Codestral-22B

May 29, 2024

2.4 years ago

Gemini 4 Argon

Sep 30, 2026

1 weeks ago

2.3yr 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 Codestral-22B and Gemini 4 Argon side-by-side, then vote on the output you prefer.

Codestral-22B
✓ Preferred
Gemini 4 Argon
Open in Playground

FAQ

Common questions about Codestral-22B vs Gemini 4 Argon.

Which is better, Codestral-22B or Gemini 4 Argon?

Gemini 4 Argon leads the LLM Stats Score 55.1 to 0.0. Codestral-22B is made by Mistral AI and Gemini 4 Argon is made by Google. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Codestral-22B compare to Gemini 4 Argon in benchmarks?

Codestral-22B scores HumanEvalFIM-Average: 91.6%, HumanEval: 81.1%, MBPP: 78.2%, Spider: 63.5%, HumanEval-Average: 61.5%. 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%.

What are the main differences between Codestral-22B and Gemini 4 Argon?

Key differences include LLM Stats Score (0.0 vs 55.1), multimodal support (no vs yes), licensing (MNPL-0.1 vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Codestral-22B and Gemini 4 Argon?

Codestral-22B is developed by Mistral AI and Gemini 4 Argon is developed by Google.

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