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Command R+ vs Kimi-k1.5

Kimi-k1.5 leads the LLM Stats Score 17.3 to -0.4.

Cohere · Moonshot AI · Updated for 2026

Which is better?

Kimi-k1.5 leads the overall LLM Stats Score 17.3 to -0.4, ranking #216 overall.

In the 1 individual benchmarks reported for both models, Kimi-k1.5 wins 1; this is a narrower head-to-head signal than the composite indexes.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Command R+

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

Choose Kimi-k1.5

  • overall performance matters — it scores 17.3 and ranks #216 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you want the most recent training data — it shipped Jan 2025

At a glance

The differences that matter most.

Core performance indexes
-0.4
#326
17.3
#216
-0.7
#322
16.5
#213
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
$0.25 / M
— / M
Output price
$1.00 / M
— / M
Context window
128,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Command R+
Kimi-k1.5
-2.2#307
20.2#159
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

6 reported for Command R+ · 9 for Kimi-k1.5

1 shared

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

Kimi-k1.5 significantly outperforms across most benchmarks.

Wed Sep 09 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

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
Wed Sep 09 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

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

2.0 years ago

Kimi-k1.5

Jan 20, 2025

1.6 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

Judge for yourself.

Run your own prompts against Command R+ and Kimi-k1.5 side-by-side, then vote on the output you prefer.

Command R+
✓ Preferred
Kimi-k1.5
Open in Playground

FAQ

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

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

Kimi-k1.5 leads the LLM Stats Score 17.3 to -0.4. 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 capability indexes, individual benchmarks, pricing, and limits 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 LLM Stats Score (-0.4 vs 17.3), 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.