Model Comparison

Command R+ vs Kimi K3Which is better in 2026?

Comparing Command R+ and Kimi K3 across benchmarks, pricing, and capabilities.

Verdict: Command R+ vs Kimi K3 — which is better?

Command R+ (by Cohere) and Kimi K3 (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.

On price, Command R+ is roughly 13.7x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Kimi K3 also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.

Choose Command R+ if…

  • cost matters — it's about 13.7x cheaper per token
  • you need open weights you can self-host or fine-tune

Choose Kimi K3 if…

  • you process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Jul 2026

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Command R+ and Kimi K3don'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

Command R+ costs less

For input processing, Command R+ ($0.25/1M tokens) is 12.0x cheaper than Kimi K3 ($3.00/1M tokens).

For output processing, Command R+ ($1.00/1M tokens) is 15.0x cheaper than Kimi K3 ($15.00/1M tokens).

In conclusion, Kimi K3 is more expensive than Command R+.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Sat Jul 18 2026 • llm-stats.com
Cohere
Command R+
Input tokens$0.25
Output tokens$1.00
Best providerCohere
Moonshot AI
Kimi K3
Input tokens$3.00
Output tokens$15.00
Best providerUnknown Organization
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

2696.0B diff

Kimi K3 has 2696.0B more parameters than Command R+, making it 2592.3% larger.

Cohere
Command R+
104.0Bparameters
Moonshot AI
Kimi K3
2.8Tparameters
104.0B
Command R+
2800.0B
Kimi K3

Context Window

Maximum input and output token capacity

Kimi K3 accepts 1,048,576 input tokens compared to Command R+'s 128,000 tokens. Kimi K3 can generate longer responses up to 1,048,576 tokens, while Command R+ is limited to 128,000 tokens.

Cohere
Command R+
Input128,000 tokens
Output128,000 tokens
Moonshot AI
Kimi K3
Input1,048,576 tokens
Output1,048,576 tokens
Sat Jul 18 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Kimi K3 supports multimodal inputs, whereas Command R+ does not.

Kimi K3 can handle both text and other forms of data like images, making it suitable for multimodal applications.

Command R+

Text
Images
Audio
Video

Kimi K3

Text
Images
Audio
Video

Release Timeline

When each model was launched

Command R+ was released on 2024-08-30, while Kimi K3 was released on 2026-07-16.

Kimi K3 is 23 months newer than Command R+.

Command R+

Aug 30, 2024

1.9 years ago

Kimi K3

Jul 16, 2026

2 days ago

1.9yr 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

Provider Availability

Command R+ is available from Cohere, Bedrock. Kimi K3 is available from Moonshot AI.

Command R+

cohere logo
Cohere
Input Price:Input: $0.25/1MOutput Price:Output: $1.00/1M
bedrock logo
AWS Bedrock
Input Price:Input: $3.00/1MOutput Price:Output: $15.00/1M

Kimi K3

moonshot logo
Unknown Organization
Input Price:Input: $3.00/1MOutput Price:Output: $15.00/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Cohere
Less expensive input tokens
Less expensive output tokens
Moonshot AI
Larger context window (1,048,576 tokens)
Supports multimodal inputs

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Command R+ and Kimi K3 side-by-side, then vote on the output you prefer.

Command R+
✓ Preferred
Kimi K3
Open in Playground
AI Model Comparison Table
Feature
Cohere
Command R+
Moonshot AI
Kimi K3

FAQ

Common questions about Command R+ vs Kimi K3.

Which is better, Command R+ or Kimi K3?

Command R+ (Cohere) and Kimi K3 (Moonshot AI) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Command R+ compare to Kimi K3 in benchmarks?

Command R+ scores HellaSwag: 88.6%, Winogrande: 85.4%, MMLU: 75.7%, ARC-C: 71.0%, GSM8k: 70.7%. Kimi K3 scores MathVision: 97.8%, DeepSearchQA: 95.0%, GPQA: 93.5%, CharXiv-R: 91.3%, BrowseComp: 91.2%.

Is Command R+ cheaper than Kimi K3?

Command R+ is 12.0x cheaper for input tokens. Command R+ costs $0.25/M input and $1.00/M output via cohere. Kimi K3 costs $3.00/M input and $15.00/M output via moonshot.

What are the context window sizes for Command R+ and Kimi K3?

Command R+ supports 128K tokens and Kimi K3 supports 1.0M 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 K3?

Key differences include context window (128K vs 1.0M), input pricing ($0.25 vs $3.00/M), multimodal support (no vs yes), licensing (CC BY-NC vs Unknown). See the full comparison above for benchmark-by-benchmark results.

Who makes Command R+ and Kimi K3?

Command R+ is developed by Cohere and Kimi K3 is developed by Moonshot AI.

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