Open-source reasoning model matching OpenAI o1 performance.
MoonshotAI's 2.8T-parameter flagship for complex coding, knowledge work, and long-horizon agent runs.
No shared demos for these models yet.
No captured outputs for these models yet.
Both DeepSeek R1 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.
DeepSeek R1 has a lower blended cost. DeepSeek R1: $0.70 input / $2.50 output. Kimi K3: $0.30 input / $11.94 output.
Kimi K3 has a larger context window: DeepSeek R1 supports 64K tokens vs Kimi K3 at 1M tokens.
Kimi K3 supports vision/image input, but DeepSeek R1 does not.
Key differences: Kimi K3 is significantly cheaper; only Kimi K3 supports vision input. Compare full specs on this page.
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 DeepSeek R1 and Kimi K3 for free on idapt.app to see which performs better for your specific needs.