Model Comparison

Command R+ vs Codestral-22B

Comparing Command R+ and Codestral-22B across benchmarks, pricing, and capabilities.

Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Command R+ and Codestral-22B 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

81.8B diff

Command R+ has 81.8B more parameters than Codestral-22B, making it 368.5% larger.

Cohere
Command R+
104.0Bparameters
Mistral AI
Codestral-22B
22.2Bparameters
104.0B
Command R+
22.2B
Codestral-22B

Context Window

Maximum input and output token capacity

Only Command R+ specifies input context (128,000 tokens). Only Command R+ specifies output context (128,000 tokens).

Cohere
Command R+
Input128,000 tokens
Output128,000 tokens
Mistral AI
Codestral-22B
Input- tokens
Output- tokens
Wed May 06 2026 • llm-stats.com

License

Usage and distribution terms

Command R+ is licensed under CC BY-NC, while Codestral-22B uses MNPL-0.1.

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

Command R+

CC BY-NC

Open weights

Codestral-22B

MNPL-0.1

Open weights

Release Timeline

When each model was launched

Command R+ was released on 2024-08-30, while Codestral-22B was released on 2024-05-29.

Command R+ is 3 months newer than Codestral-22B.

Command R+

Aug 30, 2024

1.7 years ago

3mo newer
Codestral-22B

May 29, 2024

1.9 years ago

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

Cohere
Larger context window (128,000 tokens)
Mistral AI

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

Detailed Comparison

AI Model Comparison Table
Feature
Cohere
Command R+
Mistral AI
Codestral-22B

FAQ

Common questions about Command R+ vs Codestral-22B.

Which is better, Command R+ or Codestral-22B?

Command R+ (Cohere) and Codestral-22B (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 Command R+ compare to Codestral-22B in benchmarks?

Command R+ scores HellaSwag: 88.6%, Winogrande: 85.4%, MMLU: 75.7%, ARC-C: 71.0%, GSM8k: 70.7%. 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 Command R+ and Codestral-22B?

Command R+ supports 128K tokens and Codestral-22B supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Command R+ and Codestral-22B?

Key differences include licensing (CC BY-NC vs MNPL-0.1). See the full comparison above for benchmark-by-benchmark results.

Who makes Command R+ and Codestral-22B?

Command R+ is developed by Cohere and Codestral-22B is developed by Mistral AI.