Open-source 1.6T-parameter MoE with 49B active, built for advanced reasoning and long-horizon agents.
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 DeepSeek V4 Pro 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.
DeepSeek V4 Pro has a lower blended cost. DeepSeek V4 Pro: $0.43 input / $0.87 output. Inkling: $1.00 input / $4.05 output.
DeepSeek V4 Pro has a larger context window: DeepSeek V4 Pro supports 1M tokens vs Inkling at 524K tokens.
Inkling supports vision/image input, but DeepSeek V4 Pro does not.
DeepSeek V4 Pro scores higher on SWE-bench Verified: DeepSeek V4 Pro resolves 78% vs Inkling 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 DeepSeek V4 Pro and Inkling for free on idapt.app to see which performs better for your specific needs.