Model Comparison

Codestral-22B vs Mistral Large 2

Mistral Large 2 significantly outperforms across most benchmarks.

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Codestral-22B outperforms in 0 benchmarks, while Mistral Large 2 is better at 1 benchmark (HumanEval).

Mistral Large 2 significantly outperforms across most benchmarks.

Tue Apr 07 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Tue Apr 07 2026 • llm-stats.com
Mistral AI
Codestral-22B
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Mistral AI
Mistral Large 2
Input tokens$2.00
Output tokens$6.00
Best providerGoogle
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Model Size

Parameter count comparison

100.8B diff

Mistral Large 2 has 100.8B more parameters than Codestral-22B, making it 454.1% larger.

Mistral AI
Codestral-22B
22.2Bparameters
Mistral AI
Mistral Large 2
123.0Bparameters
22.2B
Codestral-22B
123.0B
Mistral Large 2

Context Window

Maximum input and output token capacity

Only Mistral Large 2 specifies input context (128,000 tokens). Only Mistral Large 2 specifies output context (128,000 tokens).

Mistral AI
Codestral-22B
Input- tokens
Output- tokens
Mistral AI
Mistral Large 2
Input128,000 tokens
Output128,000 tokens
Tue Apr 07 2026 • llm-stats.com

License

Usage and distribution terms

Codestral-22B is licensed under MNPL-0.1, while Mistral Large 2 uses Mistral Research License.

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

Codestral-22B

MNPL-0.1

Open weights

Mistral Large 2

Mistral Research License

Open weights

Release Timeline

When each model was launched

Codestral-22B was released on 2024-05-29, while Mistral Large 2 was released on 2024-07-24.

Mistral Large 2 is 2 months newer than Codestral-22B.

Codestral-22B

May 29, 2024

1.9 years ago

Mistral Large 2

Jul 24, 2024

1.7 years ago

1mo 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

Larger context window (128,000 tokens)
Higher HumanEval score (92.0% vs 81.1%)

Detailed Comparison

AI Model Comparison Table
Feature
Mistral AI
Codestral-22B
Mistral AI
Mistral Large 2

FAQ

Common questions about Codestral-22B vs Mistral Large 2

Mistral Large 2 significantly outperforms across most benchmarks. Codestral-22B is made by Mistral AI and Mistral Large 2 is made by Mistral AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Codestral-22B scores HumanEvalFIM-Average: 91.6%, HumanEval: 81.1%, MBPP: 78.2%, Spider: 63.5%, HumanEval-Average: 61.5%. Mistral Large 2 scores GSM8k: 93.0%, HumanEval: 92.0%, MT-Bench: 86.3%, MMLU: 84.0%, MMLU French: 82.8%.
Codestral-22B supports an unknown number of tokens and Mistral Large 2 supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include licensing (MNPL-0.1 vs Mistral Research License). See the full comparison above for benchmark-by-benchmark results.