Model Comparison

Codestral-22B vs Llama 3.3 70B InstructWhich is better in 2026?

Llama 3.3 70B Instruct significantly outperforms across most benchmarks.

Verdict: Codestral-22B vs Llama 3.3 70B Instruct — which is better?

Codestral-22B (by Mistral AI) and Llama 3.3 70B Instruct (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 0 benchmarks, while Llama 3.3 70B Instruct is better at 1 benchmark (HumanEval). Llama 3.3 70B Instruct significantly outperforms across most benchmarks.

Choose Codestral-22B if…

  • you are already invested in the Mistral AI ecosystem

Choose Llama 3.3 70B Instruct if…

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
  • you want the most recent training data — it shipped Dec 2024
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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Codestral-22B outperforms in 0 benchmarks, while Llama 3.3 70B Instruct is better at 1 benchmark (HumanEval).

Llama 3.3 70B Instruct significantly outperforms across most benchmarks.

Thu Jun 11 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

47.8B diff

Llama 3.3 70B Instruct has 47.8B more parameters than Codestral-22B, making it 215.3% larger.

Mistral AI
Codestral-22B
22.2Bparameters
Meta
Llama 3.3 70B Instruct
70.0Bparameters
22.2B
Codestral-22B
70.0B
Llama 3.3 70B Instruct

Context Window

Maximum input and output token capacity

Only Llama 3.3 70B Instruct specifies input context (128,000 tokens). Only Llama 3.3 70B Instruct specifies output context (128,000 tokens).

Mistral AI
Codestral-22B
Input- tokens
Output- tokens
Meta
Llama 3.3 70B Instruct
Input128,000 tokens
Output128,000 tokens
Thu Jun 11 2026 • llm-stats.com

License

Usage and distribution terms

Codestral-22B is licensed under MNPL-0.1, while Llama 3.3 70B Instruct uses Llama 3.3 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 3.3 70B Instruct

Llama 3.3 Community License Agreement

Open weights

Release Timeline

When each model was launched

Codestral-22B was released on 2024-05-29, while Llama 3.3 70B Instruct was released on 2024-12-06.

Llama 3.3 70B Instruct is 6 months newer than Codestral-22B.

Codestral-22B

May 29, 2024

2.0 years ago

Llama 3.3 70B Instruct

Dec 6, 2024

1.5 years ago

6mo 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

No standout differentiators in the data we have for this pair.

Meta
Larger context window (128,000 tokens)
Higher HumanEval score (88.4% vs 81.1%)

Detailed Comparison

AI Model Comparison Table
Feature
Mistral AI
Codestral-22B
Meta
Llama 3.3 70B Instruct

FAQ

Common questions about Codestral-22B vs Llama 3.3 70B Instruct.

Which is better, Codestral-22B or Llama 3.3 70B Instruct?

Llama 3.3 70B Instruct significantly outperforms across most benchmarks. Codestral-22B is made by Mistral AI and Llama 3.3 70B Instruct 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 3.3 70B Instruct in benchmarks?

Codestral-22B scores HumanEvalFIM-Average: 91.6%, HumanEval: 81.1%, MBPP: 78.2%, Spider: 63.5%, HumanEval-Average: 61.5%. Llama 3.3 70B Instruct scores IFEval: 92.1%, MGSM: 91.1%, HumanEval: 88.4%, MBPP EvalPlus: 87.6%, MMLU: 86.0%.

What are the context window sizes for Codestral-22B and Llama 3.3 70B Instruct?

Codestral-22B supports an unknown number of tokens and Llama 3.3 70B 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 Codestral-22B and Llama 3.3 70B Instruct?

Key differences include licensing (MNPL-0.1 vs Llama 3.3 Community License Agreement). See the full comparison above for benchmark-by-benchmark results.

Who makes Codestral-22B and Llama 3.3 70B Instruct?

Codestral-22B is developed by Mistral AI and Llama 3.3 70B Instruct is developed by Meta.

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