Model Comparison

Codestral-22B vs Command R+

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

Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Codestral-22B and Command R+ 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
Mon Apr 06 2026 • llm-stats.com
Mistral AI
Codestral-22B
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Cohere
Command R+
Input tokens$0.25
Output tokens$1.00
Best providerCohere
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.

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

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).

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

License

Usage and distribution terms

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

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

Codestral-22B

MNPL-0.1

Open weights

Command R+

CC BY-NC

Open weights

Release Timeline

When each model was launched

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

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

Codestral-22B

May 29, 2024

1.9 years ago

Command R+

Aug 30, 2024

1.6 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
Cohere
Larger context window (128,000 tokens)

Detailed Comparison

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

FAQ

Common questions about Codestral-22B vs Command R+

Codestral-22B (Mistral AI) and Command R+ (Cohere) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.
Codestral-22B scores HumanEvalFIM-Average: 91.6%, HumanEval: 81.1%, MBPP: 78.2%, Spider: 63.5%, HumanEval-Average: 61.5%. Command R+ scores HellaSwag: 88.6%, Winogrande: 85.4%, MMLU: 75.7%, ARC-C: 71.0%, GSM8k: 70.7%.
Codestral-22B supports an unknown number of tokens and Command R+ 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 CC BY-NC). See the full comparison above for benchmark-by-benchmark results.
Codestral-22B is developed by Mistral AI and Command R+ is developed by Cohere.