Model Comparison

Codestral-22B vs Mistral Small

Comparing Codestral-22B and Mistral Small across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Codestral-22B and Mistral Small don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Model Size

Parameter count comparison

200.0M diff

Codestral-22B has 0.2B more parameters than Mistral Small, making it 0.9% larger.

Mistral AI
Codestral-22B
22.2Bparameters
Mistral AI
Mistral Small
22.0Bparameters
22.2B
Codestral-22B
22.0B
Mistral Small

Context Window

Maximum input and output token capacity

Only Mistral Small specifies input context (32,768 tokens). Only Mistral Small specifies output context (32,768 tokens).

Mistral AI
Codestral-22B
Input- tokens
Output- tokens
Mistral AI
Mistral Small
Input32,768 tokens
Output32,768 tokens
Sat Jun 06 2026 • llm-stats.com

License

Usage and distribution terms

Codestral-22B is licensed under MNPL-0.1, while Mistral Small 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 Small

Mistral Research License

Open weights

Release Timeline

When each model was launched

Codestral-22B was released on 2024-05-29, while Mistral Small was released on 2024-09-17.

Mistral Small is 4 months newer than Codestral-22B.

Codestral-22B

May 29, 2024

2.0 years ago

Mistral Small

Sep 17, 2024

1.7 years ago

3mo 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?Start an Issue discussion→

Key Takeaways

Mistral AI

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

Mistral AI
Larger context window (32,768 tokens)

Detailed Comparison

AI Model Comparison Table
Feature
Mistral AI
Codestral-22B
Mistral AI
Mistral Small

FAQ

Common questions about Codestral-22B vs Mistral Small.

Which is better, Codestral-22B or Mistral Small?

Codestral-22B (Mistral AI) and Mistral Small (Mistral AI) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Codestral-22B compare to Mistral Small in benchmarks?

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

What are the context window sizes for Codestral-22B and Mistral Small?

Codestral-22B supports an unknown number of tokens and Mistral Small supports 33K 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 Mistral Small?

Key differences include licensing (MNPL-0.1 vs Mistral Research License). See the full comparison above for benchmark-by-benchmark results.