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QwQ 32B vs Nemotron 3.5 Super VL

At a glance

Qwen's dedicated reasoning model at 32B scale.

131K ctx

NVIDIA's open multimodal mixture-of-experts model, with 12B active parameters out of 120B total.

262K ctx$0.10/$0.40 per M
Demos
All demos

No shared demos for these models yet.

AI Output
All AI outputs

No captured outputs for these models yet.

Benchmarks
See rankings
Reasoning
CodingInsufficient data
AgenticInsufficient data
Sources:Epoch AI· as of 2026-10-02
Reasoning & Knowledge
Graduate Science65.3%
Math
Competition Math59.2%
Coding
Code Editing20.9%
Reasoning
CodingInsufficient data
AgenticInsufficient data
ReasoningInsufficient data
MathInsufficient data
Sources:OpenRouter
Reasoning & Knowledge
Graduate Science—
Math
Competition Math—
Coding
Code Editing—
Specs
131K
Context
33K
Max output
—
Released
262K
Context
236K
Max output
Oct 2026
Released
Capabilities
Vision
Audio
Reasoning
Vision
Audio
Reasoning
Pricing
Pricing not available
Live pricing, shown before you run
Input$0.10/M tokens
Output$0.40/M tokens
Cache read$0.08/M tokens
Chat with QwQ 32BGo to model
Chat with Nemotron 3.5 Super VLGo to model
Frequently Asked Questions: QwQ 32B vs Nemotron 3.5 Super VL▼

Which is better, QwQ 32B or Nemotron 3.5 Super VL?

▼

Both QwQ 32B and Nemotron 3.5 Super VL 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.

Which has a larger context window, QwQ 32B or Nemotron 3.5 Super VL?

▼

Nemotron 3.5 Super VL has a larger context window: QwQ 32B supports 131K tokens vs Nemotron 3.5 Super VL at 262K tokens.

Do both QwQ 32B and Nemotron 3.5 Super VL support vision?

▼

Nemotron 3.5 Super VL supports vision/image input, but QwQ 32B does not.

What are the key differences between QwQ 32B and Nemotron 3.5 Super VL?

▼

Key differences: only Nemotron 3.5 Super VL supports vision input. Compare full specs on this page.

Which model should I choose for my use case?

▼

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 QwQ 32B and Nemotron 3.5 Super VL for free on idapt.app to see which performs better for your specific needs.

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