Qwen's largest vision-language model with 235B MoE architecture.
NVIDIA's open frontier reasoning model for orchestration, coding, and deep research.
No shared agent demos for these models yet.
No captured outputs for these models yet.
This model hasn't been benchmarked yet.
This model hasn't been benchmarked yet.
Both Qwen3 VL 235B A22B and Nemotron 3 Ultra 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 VL 235B A22B has a lower blended cost. Qwen3 VL 235B A22B: $0.21 input / $1.90 output. Nemotron 3 Ultra: $0.60 input / $3.60 output.
Nemotron 3 Ultra has a larger context window: Qwen3 VL 235B A22B supports 131K tokens vs Nemotron 3 Ultra at 512K tokens.
Qwen3 VL 235B A22B supports vision/image input, but Nemotron 3 Ultra does not.
Key differences: Qwen3 VL 235B A22B is significantly cheaper; only Qwen3 VL 235B A22B supports vision input; only Nemotron 3 Ultra offers extended reasoning mode. 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 Qwen3 VL 235B A22B and Nemotron 3 Ultra for free on idapt.app to see which performs better for your specific needs.