Model Comparison

Codestral-22B vs Llama 4 ScoutWhich is better in 2026?

Codestral-22B significantly outperforms across most benchmarks.

Verdict: Codestral-22B vs Llama 4 Scout — which is better?

Codestral-22B (by Mistral AI) and Llama 4 Scout (by Meta) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Codestral-22B outperforms in 1 benchmarks (MBPP), while Llama 4 Scout is better at 0 benchmarks. Codestral-22B significantly outperforms across most benchmarks.

Choose Codestral-22B if…

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks

Choose Llama 4 Scout if…

  • you want the most recent training data — it shipped Apr 2025
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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Codestral-22B outperforms in 1 benchmarks (MBPP), while Llama 4 Scout is better at 0 benchmarks.

Codestral-22B significantly outperforms across most benchmarks.

Wed Jun 17 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

86.8B diff

Llama 4 Scout has 86.8B more parameters than Codestral-22B, making it 391.0% larger.

Mistral AI
Codestral-22B
22.2Bparameters
Meta
Llama 4 Scout
109.0Bparameters
22.2B
Codestral-22B
109.0B
Llama 4 Scout

Context Window

Maximum input and output token capacity

Only Llama 4 Scout specifies input context (10,000,000 tokens). Only Llama 4 Scout specifies output context (10,000,000 tokens).

Mistral AI
Codestral-22B
Input- tokens
Output- tokens
Meta
Llama 4 Scout
Input10,000,000 tokens
Output10,000,000 tokens
Wed Jun 17 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Llama 4 Scout supports multimodal inputs, whereas Codestral-22B does not.

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

Codestral-22B

Text
Images
Audio
Video

Llama 4 Scout

Text
Images
Audio
Video

License

Usage and distribution terms

Codestral-22B is licensed under MNPL-0.1, while Llama 4 Scout uses Llama 4 Community License Agreement.

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

Codestral-22B

MNPL-0.1

Open weights

Llama 4 Scout

Llama 4 Community License Agreement

Open weights

Release Timeline

When each model was launched

Codestral-22B was released on 2024-05-29, while Llama 4 Scout was released on 2025-04-05.

Llama 4 Scout is 10 months newer than Codestral-22B.

Codestral-22B

May 29, 2024

2.1 years ago

Llama 4 Scout

Apr 5, 2025

1.2 years ago

10mo 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

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Key Takeaways

Mistral AI
Higher MBPP score (78.2% vs 67.8%)
Meta
Larger context window (10,000,000 tokens)
Supports multimodal inputs

Detailed Comparison

AI Model Comparison Table
Feature
Mistral AI
Codestral-22B
Meta
Llama 4 Scout

FAQ

Common questions about Codestral-22B vs Llama 4 Scout.

Which is better, Codestral-22B or Llama 4 Scout?

Codestral-22B significantly outperforms across most benchmarks. Codestral-22B is made by Mistral AI and Llama 4 Scout is made by Meta. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Codestral-22B compare to Llama 4 Scout in benchmarks?

Codestral-22B scores HumanEvalFIM-Average: 91.6%, HumanEval: 81.1%, MBPP: 78.2%, Spider: 63.5%, HumanEval-Average: 61.5%. Llama 4 Scout scores DocVQA: 94.4%, MGSM: 90.6%, ChartQA: 88.8%, MMLU: 79.6%, MMLU-Pro: 74.3%.

What are the context window sizes for Codestral-22B and Llama 4 Scout?

Codestral-22B supports an unknown number of tokens and Llama 4 Scout supports 10.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Codestral-22B and Llama 4 Scout?

Key differences include multimodal support (no vs yes), licensing (MNPL-0.1 vs Llama 4 Community License Agreement). See the full comparison above for benchmark-by-benchmark results.

Who makes Codestral-22B and Llama 4 Scout?

Codestral-22B is developed by Mistral AI and Llama 4 Scout is developed by Meta.

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