Model Comparison

Command R+ vs Kimi-k1.5

Kimi-k1.5 significantly outperforms across most benchmarks.

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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.

Sun Apr 12 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Sun Apr 12 2026 • llm-stats.com
Cohere
Command R+
Input tokens$0.25
Output tokens$1.00
Best providerCohere
Moonshot AI
Kimi-k1.5
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
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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
Sun Apr 12 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

1.6 years ago

Kimi-k1.5

Jan 20, 2025

1.2 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

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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

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.
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%.
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.
Key differences include multimodal support (no vs yes), licensing (CC BY-NC vs Proprietary). See the full comparison above for benchmark-by-benchmark results.
Command R+ is developed by Cohere and Kimi-k1.5 is developed by Moonshot AI.