Thinking Machines Lab's smaller, more efficient open-weight multimodal model, with 12B active parameters out of 276B total.
Alibaba's cost-efficient Qwen3.7 model for long-context multimodal work.
No shared demos for these models yet.
No captured outputs for these models yet.
Both Inkling Small and Qwen3.7 Plus 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.
Qwen3.7 Plus has a lower blended cost. Inkling Small: $0.45 input / $1.20 output. Qwen3.7 Plus: $0.32 input / $1.28 output.
Qwen3.7 Plus has a larger context window: Inkling Small supports 524K tokens vs Qwen3.7 Plus at 1M tokens.
Yes, both Inkling Small and Qwen3.7 Plus support vision/image input.
Inkling Small and Qwen3.7 Plus have similar overall capabilities. The main differences lie in pricing, context window size, and provider-specific strengths. Use this comparison page to review all metrics side by side.
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 Small and Qwen3.7 Plus for free on idapt.app to see which performs better for your specific needs.