Model Comparison

Command R+ vs Kimi K2 0905Which is better in 2026?

Kimi K2 0905 significantly outperforms across most benchmarks. Command R+ is 2.5x cheaper per token.

Verdict: Command R+ vs Kimi K2 0905 — which is better?

Command R+ (by Cohere) and Kimi K2 0905 (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 K2 0905 is better at 1 benchmark (MMLU). Kimi K2 0905 significantly outperforms across most benchmarks.

On price, Command R+ is roughly 2.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Kimi K2 0905 also accepts a larger context window (262,144 input tokens), making it the stronger choice for long documents and large codebases.

Choose Command R+ if…

  • cost matters — it's about 2.5x cheaper per token
  • you need open weights you can self-host or fine-tune

Choose Kimi K2 0905 if…

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
  • you process long inputs — it offers a 262,144 token context window
  • you want the most recent training data — it shipped Sep 2025
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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

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

Kimi K2 0905 significantly outperforms across most benchmarks.

Wed Jun 24 2026 • llm-stats.com

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 2.4x cheaper than Kimi K2 0905 ($0.60/1M tokens).

For output processing, Command R+ ($1.00/1M tokens) is 2.5x cheaper than Kimi K2 0905 ($2.50/1M tokens).

In conclusion, Kimi K2 0905 is more expensive than Command R+.*

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

Lowest available price from all providers
Wed Jun 24 2026 • llm-stats.com
Cohere
Command R+
Input tokens$0.25
Output tokens$1.00
Best providerCohere
Moonshot AI
Kimi K2 0905
Input tokens$0.60
Output tokens$2.50
Best providerNovita
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

896.0B diff

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

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

Context Window

Maximum input and output token capacity

Kimi K2 0905 accepts 262,144 input tokens compared to Command R+'s 128,000 tokens. Kimi K2 0905 can generate longer responses up to 262,144 tokens, while Command R+ is limited to 128,000 tokens.

Cohere
Command R+
Input128,000 tokens
Output128,000 tokens
Moonshot AI
Kimi K2 0905
Input262,144 tokens
Output262,144 tokens
Wed Jun 24 2026 • llm-stats.com

License

Usage and distribution terms

Command R+ is licensed under CC BY-NC, while Kimi K2 0905 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 K2 0905

Proprietary

Closed source

Release Timeline

When each model was launched

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

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

Command R+

Aug 30, 2024

1.8 years ago

Kimi K2 0905

Sep 5, 2025

9 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

Provider Availability

Command R+ is available from Cohere, Bedrock. Kimi K2 0905 is available from Novita.

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 K2 0905

novita logo
Novita
Input Price:Input: $0.60/1MOutput Price:Output: $2.50/1M
* 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
Has open weights
Moonshot AI
Larger context window (262,144 tokens)
Higher MMLU score (90.2% vs 75.7%)

Detailed Comparison

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

FAQ

Common questions about Command R+ vs Kimi K2 0905.

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

Kimi K2 0905 significantly outperforms across most benchmarks. Command R+ is made by Cohere and Kimi K2 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 0905 in benchmarks?

Command R+ scores HellaSwag: 88.6%, Winogrande: 85.4%, MMLU: 75.7%, ARC-C: 71.0%, GSM8k: 70.7%. Kimi K2 0905 scores HumanEval: 94.5%, MMLU: 90.2%, MATH: 89.1%, MMLU-Pro: 82.5%, GPQA: 75.8%.

Is Command R+ cheaper than Kimi K2 0905?

Command R+ is 2.4x cheaper for input tokens. Command R+ costs $0.25/M input and $1.00/M output via cohere. Kimi K2 0905 costs $0.60/M input and $2.50/M output via novita.

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

Command R+ supports 128K tokens and Kimi K2 0905 supports 262K 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 0905?

Key differences include context window (128K vs 262K), input pricing ($0.25 vs $0.60/M), licensing (CC BY-NC vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Command R+ and Kimi K2 0905?

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

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