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Codestral-22B vs Llama 4 Maverick

Llama 4 Maverick leads the LLM Stats Score 14.7 to 0.0.

Mistral AI · Meta · Updated for 2026

Which is better?

Llama 4 Maverick leads the overall LLM Stats Score 14.7 to 0.0, ranking #242 overall.

In the 1 individual benchmarks reported for both models, Codestral-22B wins 1; 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 Codestral-22B

  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results

Choose Llama 4 Maverick

  • overall performance matters — it scores 14.7 and ranks #242 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Apr 2025

At a glance

The differences that matter most.

Codestral-22B
Mistral AI
Llama 4 Maverick
Meta
Core performance indexes
LLM Stats Score
0.0
#334
14.7
#242
Reasoning
-0.1
#326
14.3
#238
Coding
2.5
#233
3.0
#227
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
Input price
— / M
$0.17 / M
Output price
— / M
$0.60 / M
Context window
—
1,000,000

Individual benchmarks

7 reported for Codestral-22B · 13 for Llama 4 Maverick

1 shared

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

Codestral-22B significantly outperforms across most benchmarks.

Sat Oct 03 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

377.8B diff

Llama 4 Maverick has 377.8B more parameters than Codestral-22B, making it 1701.8% larger.

Mistral AI
Codestral-22B
22.2Bparameters
Meta
Llama 4 Maverick
400.0Bparameters
22.2B
Codestral-22B
400.0B
Llama 4 Maverick

Context Window

Maximum input and output token capacity

Only Llama 4 Maverick specifies input context (1,000,000 tokens). Only Llama 4 Maverick specifies output context (1,000,000 tokens).

Mistral AI
Codestral-22B
Input- tokens
Output- tokens
Meta
Llama 4 Maverick
Input1,000,000 tokens
Output1,000,000 tokens
Sat Oct 03 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

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

Llama 4 Maverick 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 Maverick

Text
Images
Audio
Video

License

Usage and distribution terms

Codestral-22B is licensed under MNPL-0.1, while Llama 4 Maverick 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 Maverick

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 Maverick was released on 2025-04-05.

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

Codestral-22B

May 29, 2024

2.3 years ago

Llama 4 Maverick

Apr 5, 2025

1.5 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

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Codestral-22B and Llama 4 Maverick side-by-side, then vote on the output you prefer.

Codestral-22B
✓ Preferred
Llama 4 Maverick
Open in Playground

FAQ

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

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

Llama 4 Maverick leads the LLM Stats Score 14.7 to 0.0. Codestral-22B is made by Mistral AI and Llama 4 Maverick is made by Meta. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

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

Codestral-22B scores HumanEvalFIM-Average: 91.6%, HumanEval: 81.1%, MBPP: 78.2%, Spider: 63.5%, HumanEval-Average: 61.5%. Llama 4 Maverick scores DocVQA: 94.4%, MGSM: 92.3%, ChartQA: 90.0%, MMLU: 85.5%, MMLU-Pro: 80.5%.

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

Codestral-22B supports an unknown number of tokens and Llama 4 Maverick 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 Codestral-22B and Llama 4 Maverick?

Key differences include LLM Stats Score (0.0 vs 14.7), 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 Maverick?

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

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