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Command R (Aug 2024) vs Kimi K3

At a glance

Cohere's mid-tier retrieval-optimized model from August 2024.

128K ctx$0.15/$0.60 per M

MoonshotAI's 2.8T-parameter flagship for complex coding, knowledge work, and long-horizon agent runs.

1.0M ctx$3.00/$15.00 per M
Agent Demos
All agent demos

No shared agent demos for these models yet.

AI Output
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No captured outputs for these models yet.

Benchmarks
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Reasoning
CodingInsufficient data
MathInsufficient data
Sources:Provider·OpenRouter· as of 2026-07-16
Reasoning & Knowledge
Graduate Science93.5%Expert-Level43.5%
Agentic
Terminal Tasks88.3%
Specs
128K
Context
4K
Max output
Aug 2024
Released
1.0M
Context
16K
Max output
Jul 2026
Released
Capabilities
Vision
Audio
Reasoning
Vision
Audio
Reasoning
Pricing
Live pricing, shown before you run
Input95%$0.15/M tokens
Output96%$0.60/M tokens
Live pricing, shown before you run
Input$3.00/M tokens
Output$15.00/M tokens
Cache read$0.30/M tokens
Chat with Command R (Aug 2024)Go to model
Chat with Kimi K3Go to model
Frequently Asked Questions: Command R (Aug 2024) vs Kimi K3▼

Which is better, Command R (Aug 2024) or Kimi K3?

▼

Both Command R (Aug 2024) and Kimi K3 are capable AI models. The best choice depends on your specific use case: consider pricing, context window, speed, and which capabilities (vision, reasoning, audio) you need.

Which is cheaper, Command R (Aug 2024) or Kimi K3?

▼

Command R (Aug 2024) has a lower blended cost. Command R (Aug 2024): $0.15 input / $0.60 output. Kimi K3: $3.00 input / $15.00 output.

Which has a larger context window, Command R (Aug 2024) or Kimi K3?

▼

Kimi K3 has a larger context window: Command R (Aug 2024) supports 128K tokens vs Kimi K3 at 1M tokens.

Do both Command R (Aug 2024) and Kimi K3 support vision?

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Kimi K3 supports vision/image input, but Command R (Aug 2024) does not.

What are the key differences between Command R (Aug 2024) and Kimi K3?

▼

Key differences: Command R (Aug 2024) is significantly cheaper; only Kimi K3 supports vision input; only Kimi K3 offers extended reasoning mode. Compare full specs on this page.

Which model should I choose for my use case?

▼

If cost is your priority, choose the cheaper option. If you need the highest intelligence for complex tasks, pick the higher-scoring model. For long documents or codebases, choose the larger context window. You can try both Command R (Aug 2024) and Kimi K3 for free on idapt.app to see which performs better for your specific needs.

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