Inception's latest diffusion LLM and the fastest reasoning model available, producing and refining tokens in parallel instead of one at a time.
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 Mercury 2.5 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.
Mercury 2.5 has a lower blended cost. Mercury 2.5: $0.04 input / $0.15 output. Kimi K3: $3.00 input / $15.00 output.
Kimi K3 has a larger context window: Mercury 2.5 supports 260K tokens vs Kimi K3 at 1M tokens.
Kimi K3 supports vision/image input, but Mercury 2.5 does not.
Key differences: Mercury 2.5 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 Mercury 2.5 and Kimi K3 for free on idapt.app to see which performs better for your specific needs.