Command R+ vs Codestral-22B Comparison

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

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

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Sun Mar 22 2026 • llm-stats.com
Cohere
Command R+
Input tokens$0.25
Output tokens$1.00
Best providerCohere
Mistral AI
Codestral-22B
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Notice missing or incorrect data?Start an Issue

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
Sun Mar 22 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

1.6 years ago

3mo newer
Codestral-22B

May 29, 2024

1.8 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

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Key Takeaways

Larger context window (128,000 tokens)

Detailed Comparison

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