Thinking Machines Lab's open-weight multimodal model with 41B active parameters out of 975B total.
Meta's frontier reasoning model for complex personal and professional agentic tasks.
No shared demos for these models yet.
No captured outputs for these models yet.
Both Inkling and Muse Wonder 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. Inkling: $1.00 input / $4.05 output. Muse Wonder: $4.00 input / $20.00 output.
Muse Wonder has a larger context window: Inkling supports 524K tokens vs Muse Wonder at 1M tokens.
Yes, both Inkling and Muse Wonder 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 Inkling and Muse Wonder for free on idapt.app to see which performs better for your specific needs.