Nemotron middle tier for collaborative agents and high-volume reasoning workloads
https://openrouter.ai/api/v1 nvidia/nemotron-3-super-120b-a12b NVIDIA: Nemotron 3 Super (free) is listed for chat, reasoning workloads and supports a 1.0M context window.
Use the comparison and availability sections before choosing this listing, because it is not currently marked as free.
We found 3 provider listings for nemotron-3-super-120b-a12b. Check model ID, quota, pricing, and API format before switching providers.
| Provider | Model listing | Access | Context | API | Limits |
|---|---|---|---|---|---|
| | NVIDIA: Nemotron 3 Super (free) | Paid | 1.0M | OpenAI-style | 200 req/day (free tier) |
| | nvidia/nemotron-3-super-120b-a12b:free | Free tier | 262K | OpenAI-style | 200 req/hr |
| | Nemotron 3 Super 120B A12B | Free tier | 262K | Native | Varies |
| Model | Provider | Context | Access |
|---|---|---|---|
| nvidia/nemotron-3-super-120b-a12b:free | Kilo Code | 262K | Free tier |
| Nemotron 3 Super 120B A12B | NVIDIA NIM | 262K | Free tier |
| Recursive: Flint (free) | OpenRouter | 262K | Free tier |
| XingChen: Xing4.0 29B A4B (free) | OpenRouter | 262K | Free tier |
| NVIDIA: Nemotron 3.5 Super VL (free) | OpenRouter | 1.0M | Free tier |
NVIDIA: Nemotron 3 Super (free) is tagged for chat in this catalog and works with OpenAI-compatible client libraries.
NVIDIA: Nemotron 3 Super (free) is tagged for reasoning in this catalog and works with OpenAI-compatible client libraries.
NVIDIA: Nemotron 3 Super (free) is not currently marked as free on OpenRouter.
The model ID shown in this catalog is nvidia/nemotron-3-super-120b-a12b.
The listed free tier limit is 200 req/day (free tier). Limits can change per account tier, so confirm against the provider dashboard.
The listed context window is 1.0M tokens with up to 236K output tokens.
NVIDIA Nemotron 3 Super 120B A12B is an open hybrid MoE model with 120B total parameters (12B active), available free on OpenRouter. Built on a hybrid Mamba-Transformer Mixture-of-Experts architecture with multi-token prediction (MTP), it delivers over 50% higher token generation speed compared to leading open models. Designed for multi-agent applications — long-term agent coherence, cross-document reasoning, and multi-step task planning. Trained with multi-environment RL across 10+ environments. Latent MoE calls 4 experts for the cost of one. Up to 1M context window. Fully open: weights, datasets, and recipes. OpenAI-compatible. Free tier: 200 RPD.
For API keys, setup steps, and provider-level limits, see the OpenRouter provider page.