Thinking Machines Lab's smaller, more efficient open-weight multimodal model, with 12B active parameters out of 276B total.
Alibaba's updated Qwen3.8 Max flagship snapshot, post-trained for coding and agentic work.
No shared demos for these models yet.
No captured outputs for these models yet.
Both Inkling Small and Qwen3.8 Max (0902) 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 Small has a lower blended cost. Inkling Small: $0.45 input / $1.20 output. Qwen3.8 Max (0902): $2.00 input / $6.00 output.
Qwen3.8 Max (0902) has a larger context window: Inkling Small supports 524K tokens vs Qwen3.8 Max (0902) at 1M tokens.
Yes, both Inkling Small and Qwen3.8 Max (0902) support vision/image input.
Key differences: Inkling Small 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 Small and Qwen3.8 Max (0902) for free on idapt.app to see which performs better for your specific needs.