MoonshotAI's large MoE model — 1T total parameters, 32B active.
The GA release of DeepSeek's open 1.6T-parameter MoE flagship for advanced reasoning and long-horizon agents.
No shared demos for these models yet.
No captured outputs for these models yet.
Both Kimi K2 and DeepSeek V4 Pro (0813) 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 V4 Pro (0813) has a lower blended cost. Kimi K2: $0.57 input / $2.30 output. DeepSeek V4 Pro (0813): $0.66 input / $1.98 output.
DeepSeek V4 Pro (0813) has a larger context window: Kimi K2 supports 131K tokens vs DeepSeek V4 Pro (0813) at 1M tokens.
Key differences: only DeepSeek V4 Pro (0813) offers extended reasoning mode. 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 Kimi K2 and DeepSeek V4 Pro (0813) for free on idapt.app to see which performs better for your specific needs.