Model Comparison

Command R+ vs Kimi-k1.5Which is better in 2026?

Kimi-k1.5 significantly outperforms across most benchmarks.

Verdict: Command R+ vs Kimi-k1.5 — which is better?

Command R+ (by Cohere) and Kimi-k1.5 (by Moonshot AI) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Command R+ outperforms in 0 benchmarks, while Kimi-k1.5 is better at 1 benchmark (MMLU). Kimi-k1.5 significantly outperforms across most benchmarks.

Choose Command R+ if…

  • you need open weights you can self-host or fine-tune

Choose Kimi-k1.5 if…

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
  • you want the most recent training data — it shipped Jan 2025
Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Command R+ outperforms in 0 benchmarks, while Kimi-k1.5 is better at 1 benchmark (MMLU).

Kimi-k1.5 significantly outperforms across most benchmarks.

Thu Jun 11 2026 • llm-stats.com

Arena Performance

Human preference votes

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-k1.5
Input- tokens
Output- tokens
Thu Jun 11 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Kimi-k1.5 supports multimodal inputs, whereas Command R+ does not.

Kimi-k1.5 can handle both text and other forms of data like images, making it suitable for multimodal applications.

Command R+

Text
Images
Audio
Video

Kimi-k1.5

Text
Images
Audio
Video

License

Usage and distribution terms

Command R+ is licensed under CC BY-NC, while Kimi-k1.5 uses a proprietary license.

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

Command R+

CC BY-NC

Open weights

Kimi-k1.5

Proprietary

Closed source

Release Timeline

When each model was launched

Command R+ was released on 2024-08-30, while Kimi-k1.5 was released on 2025-01-20.

Kimi-k1.5 is 5 months newer than Command R+.

Command R+

Aug 30, 2024

1.8 years ago

Kimi-k1.5

Jan 20, 2025

1.4 years ago

4mo 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

Cohere
Larger context window (128,000 tokens)
Has open weights
Moonshot AI
Supports multimodal inputs
Higher MMLU score (87.4% vs 75.7%)

Detailed Comparison

AI Model Comparison Table
Feature
Cohere
Command R+
Moonshot AI
Kimi-k1.5

FAQ

Common questions about Command R+ vs Kimi-k1.5.

Which is better, Command R+ or Kimi-k1.5?

Kimi-k1.5 significantly outperforms across most benchmarks. Command R+ is made by Cohere and Kimi-k1.5 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-k1.5 in benchmarks?

Command R+ scores HellaSwag: 88.6%, Winogrande: 85.4%, MMLU: 75.7%, ARC-C: 71.0%, GSM8k: 70.7%. Kimi-k1.5 scores MATH-500: 96.2%, CLUEWSC: 91.4%, C-Eval: 88.3%, MMLU: 87.4%, IFEval: 87.2%.

What are the context window sizes for Command R+ and Kimi-k1.5?

Command R+ supports 128K tokens and Kimi-k1.5 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-k1.5?

Key differences include multimodal support (no vs yes), licensing (CC BY-NC vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Command R+ and Kimi-k1.5?

Command R+ is developed by Cohere and Kimi-k1.5 is developed by Moonshot AI.

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