Thinking Machines Lab's open-weight multimodal model with 41B active parameters out of 975B total.
Open-source 1.6T-parameter MoE with 49B active, built for advanced reasoning and long-horizon agents.
No shared agent demos for these models yet.
No captured outputs for these models yet.
Both Inkling and DeepSeek V4 Pro 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.
DeepSeek V4 Pro has a lower blended cost. Inkling: $1.00 input / $4.05 output. DeepSeek V4 Pro: $0.43 input / $0.87 output.
DeepSeek V4 Pro has a larger context window: Inkling supports 524K tokens vs DeepSeek V4 Pro at 1M tokens.
Inkling supports vision/image input, but DeepSeek V4 Pro does not.
DeepSeek V4 Pro scores higher on SWE-bench Verified: Inkling resolves 78% vs DeepSeek V4 Pro at 78%.
Key differences: DeepSeek V4 Pro is significantly cheaper; 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 DeepSeek V4 Pro for free on idapt.app to see which performs better for your specific needs.