Alibaba's flagship Qwen3.7 model, built for agent-centric workloads.
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 Qwen3.7 Max 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. Qwen3.7 Max: $1.48 input / $4.42 output. Inkling: $1.00 input / $4.05 output.
Qwen3.7 Max has a larger context window: Qwen3.7 Max supports 1M tokens vs Inkling at 524K tokens.
Inkling supports vision/image input, but Qwen3.7 Max does not.
Inkling scores higher on SWE-bench Verified: Qwen3.7 Max resolves 77% vs Inkling at 78%.
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 Qwen3.7 Max and Inkling for free on idapt.app to see which performs better for your specific needs.