Model Comparison

Command R+ vs Kimi K2-Instruct-0905

Kimi K2-Instruct-0905 significantly outperforms across most benchmarks.

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Command R+ outperforms in 0 benchmarks, while Kimi K2-Instruct-0905 is better at 1 benchmark (MMLU).

Kimi K2-Instruct-0905 significantly outperforms across most benchmarks.

Sun May 24 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

896.0B diff

Kimi K2-Instruct-0905 has 896.0B more parameters than Command R+, making it 861.5% larger.

Cohere
Command R+
104.0Bparameters
Moonshot AI
Kimi K2-Instruct-0905
1.0Tparameters
104.0B
Command R+
1000.0B
Kimi K2-Instruct-0905

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
Moonshot AI
Kimi K2-Instruct-0905
Input- tokens
Output- tokens
Sun May 24 2026 • llm-stats.com

License

Usage and distribution terms

Command R+ is licensed under CC BY-NC, while Kimi K2-Instruct-0905 uses MIT.

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

Command R+

CC BY-NC

Open weights

Kimi K2-Instruct-0905

MIT

Open weights

Release Timeline

When each model was launched

Command R+ was released on 2024-08-30, while Kimi K2-Instruct-0905 was released on 2025-09-05.

Kimi K2-Instruct-0905 is 12 months newer than Command R+.

Command R+

Aug 30, 2024

1.7 years ago

Kimi K2-Instruct-0905

Sep 5, 2025

8 months ago

1.0yr 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

Larger context window (128,000 tokens)
Higher MMLU score (89.5% vs 75.7%)

Detailed Comparison

AI Model Comparison Table
Feature
Cohere
Command R+
Moonshot AI
Kimi K2-Instruct-0905

FAQ

Common questions about Command R+ vs Kimi K2-Instruct-0905.

Which is better, Command R+ or Kimi K2-Instruct-0905?

Kimi K2-Instruct-0905 significantly outperforms across most benchmarks. Command R+ is made by Cohere and Kimi K2-Instruct-0905 is made by Moonshot AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Command R+ compare to Kimi K2-Instruct-0905 in benchmarks?

Command R+ scores HellaSwag: 88.6%, Winogrande: 85.4%, MMLU: 75.7%, ARC-C: 71.0%, GSM8k: 70.7%. Kimi K2-Instruct-0905 scores MATH-500: 97.4%, MMLU-Redux: 92.7%, IFEval: 89.8%, AutoLogi: 89.5%, MMLU: 89.5%.

What are the context window sizes for Command R+ and Kimi K2-Instruct-0905?

Command R+ supports 128K tokens and Kimi K2-Instruct-0905 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 Kimi K2-Instruct-0905?

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

Who makes Command R+ and Kimi K2-Instruct-0905?

Command R+ is developed by Cohere and Kimi K2-Instruct-0905 is developed by Moonshot AI.