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Llama 3.2 11B Vision vs Nemotron 3.5 Super VL

At a glance

Compact 11B vision model from Meta for multimodal tasks.

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
No benchmarks available

This model hasn't been benchmarked yet.

Reasoning
CodingInsufficient data
AgenticInsufficient data
ReasoningInsufficient data
MathInsufficient data
Sources:OpenRouter
Specs
131K
Context
16K
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 Llama 3.2 11B VisionGo to model
Chat with Nemotron 3.5 Super VLGo to model
Frequently Asked Questions: Llama 3.2 11B Vision vs Nemotron 3.5 Super VL▼

Which is better, Llama 3.2 11B Vision or Nemotron 3.5 Super VL?

▼

Both Llama 3.2 11B Vision 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, Llama 3.2 11B Vision or Nemotron 3.5 Super VL?

▼

Nemotron 3.5 Super VL has a larger context window: Llama 3.2 11B Vision supports 131K tokens vs Nemotron 3.5 Super VL at 262K tokens.

Do both Llama 3.2 11B Vision and Nemotron 3.5 Super VL support vision?

▼

Yes, both Llama 3.2 11B Vision and Nemotron 3.5 Super VL support vision/image input.

What are the key differences between Llama 3.2 11B Vision and Nemotron 3.5 Super VL?

▼

Key differences: only Nemotron 3.5 Super VL offers extended reasoning mode. 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 Llama 3.2 11B Vision and Nemotron 3.5 Super VL for free on idapt.app to see which performs better for your specific needs.

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