Meta's efficient 70B model matching Llama 3.1 405B on key benchmarks.
NVIDIA's open multimodal mixture-of-experts model, with 12B active parameters out of 120B total.
No shared demos for these models yet.
No captured outputs for these models yet.
Both Llama 3.3 70B 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.
Llama 3.3 70B has a lower blended cost. Llama 3.3 70B: $0.10 input / $0.32 output. Nemotron 3.5 Super VL: $0.10 input / $0.40 output.
Nemotron 3.5 Super VL has a larger context window: Llama 3.3 70B supports 131K tokens vs Nemotron 3.5 Super VL at 262K tokens.
Nemotron 3.5 Super VL supports vision/image input, but Llama 3.3 70B does not.
Key differences: only Nemotron 3.5 Super VL supports vision input; only Nemotron 3.5 Super VL 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 Llama 3.3 70B and Nemotron 3.5 Super VL for free on idapt.app to see which performs better for your specific needs.