MoonshotAI's 2.8T-parameter flagship for complex coding, knowledge work, and long-horizon agent runs.
Thinking Machines Lab's open-weight multimodal model with 41B active parameters out of 975B total.
No shared agent demos for these models yet.
No captured outputs for these models yet.
Both Kimi K3 and Inkling 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.
Inkling has a lower blended cost. Kimi K3: $3.00 input / $15.00 output. Inkling: $1.00 input / $4.05 output.
Kimi K3 has a larger context window: Kimi K3 supports 1M tokens vs Inkling at 524K tokens.
Yes, both Kimi K3 and Inkling support vision/image input.
Key differences: Inkling is significantly cheaper. 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 K3 and Inkling for free on idapt.app to see which performs better for your specific needs.