Thinking Machines Lab's open-weight multimodal model with 41B active parameters out of 975B total.
Alibaba's flagship Qwen3.7 model, built for agent-centric workloads.
No shared agent demos for these models yet.
No captured outputs for these models yet.
Both Inkling and Qwen3.7 Max 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. Qwen3.7 Max: $1.48 input / $4.42 output.
Qwen3.7 Max has a larger context window: Inkling supports 524K tokens vs Qwen3.7 Max at 1M tokens.
Inkling supports vision/image input, but Qwen3.7 Max does not.
Inkling scores higher on SWE-bench Verified: Inkling resolves 78% vs Qwen3.7 Max at 77%.
Key differences: only Inkling 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 Inkling and Qwen3.7 Max for free on idapt.app to see which performs better for your specific needs.