NVIDIA: Nemotron 3 Super (free)
nvidia/nemotron-3-super-120b-a12b:free
Description
NVIDIA Nemotron 3 Super is a 120B-parameter open hybrid MoE model, activating just 12B parameters for maximum compute efficiency and accuracy in complex multi-agent applications. Built on a hybrid Mamba-Transformer Mixture-of-Experts architecture with multi-token prediction (MTP), it delivers over 50% higher token generation compared to leading open models.
The model features a 1M token context window for long-term agent coherence, cross-document reasoning, and multi-step task planning. Latent MoE enables calling 4 experts for the inference cost of only one, improving intelligence and generalization. Multi-environment RL training across 10+ environments delivers leading accuracy on benchmarks including AIME 2025, TerminalBench, and SWE-Bench Verified.
Fully open with weights, datasets, and recipes under the NVIDIA Open License, Nemotron 3 Super allows easy customization and secure deployment anywhere — from workstation to cloud.
How this model compares
Overall covers the full catalog. By plan covers only models available on that tier (same rules as available models in your list). Position on min–average–max. Prices use the higher of prompt or completion per token, shown per 1M tokens.
Price (per 1M tokens)
Min
Max
This model
339 models in this groupPrice (per 1M tokens)
- Min
- $0.04
- Avg
- $12.395447
- Max
- $750.00
This model: $0.00 / 1M tokens
Context length (tokens)
Min
Max
This model
339 models in this groupContext length (tokens)
- Min
- 4,095 tokens
- Avg
- 379,884.782 tokens
- Max
- 10,000,000 tokens
This model: 1,000,000 tokens
Capabilities
Text → TextContext: 262,144 tokens
Input:
Text
Output:
Text