The strongest open-weight lines in one view. All three publish weights; the columns show what each costs to run hosted and how they score on the named benchmarks.Last reviewed 2026-07-17.
Open-source 1.6T-parameter MoE with 49B active, built for advanced reasoning and long-horizon agents.
Alibaba's flagship Qwen3.7 model, built for agent-centric workloads.
NVIDIA's open frontier reasoning model for orchestration, coding, and deep research.
No shared demos for these models yet.
No captured outputs for these models yet.
DeepSeek V4 Pro has the lowest blended list price. Per 1M tokens: DeepSeek V4 Pro at $0.43 in / $0.87 out; Qwen3.7 Max at $1.48 in / $4.42 out; Nemotron 3 Ultra at $0.60 in / $3.60 out.
DeepSeek V4 Pro leads with 1M tokens. The other two: Qwen3.7 Max at 1M, Nemotron 3 Ultra at 512K.
No, none of the three accepts image input.
This idapt comparison runs all three in aligned columns: the same prompt, plus benchmarks, specs, and prices per model. Open any model in chat from its column to keep working with it.