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Model details

Nemotron 3 Super (free)

Nemotron 3 Super free is NVIDIA's open hybrid Mamba-Transformer Mixture-of-Experts model, pairing a 120B-parameter backbone with just 12B active parameters per forward pass. That sparse design is positioned by NVIDIA as a compute-efficient path for complex multi-agent workflows, and the model is published under the NVIDIA Open License with full weights, datasets, and recipes available. Reinforcement learning across more than ten environments is cited as the training foundation behind results on reasoning and agent benchmarks such as AIME 2025, TerminalBench, and SWE-Bench Verified.

In practical use, the model is a strong fit for long-context text tasks that benefit from reasoning plus structured tool interaction, including deep document analysis, tool-augmented pipelines, and multi-step agent loops. Independent index readings of roughly 25–26 on intelligence, 37–38 on coding, and 8–9 on agentic tasks place it as a capable generalist rather than a top-of-leaderboard specialist. The combination of a large context budget, reasoning support, tool calling, and structured output makes it well suited for experimentation and production prototypes where free access and open weights matter more than raw benchmark dominance.

OpenRouternvidia/nemotron-3-super-120b-a12b:freenemotron

Quick Info

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Provider
OpenRouter
Model key
nvidia/nemotron-3-super-120b-a12b:free
Release date
Mar 11, 2026
Last updated
Mar 11, 2026
Input modalities
Output modalities
Capabilities

Cost

A provider subscription or plan supersedes token-based pricing for this model.

Limits

Output tokens
235,929 tokens
Context window
262,144 tokens

Latest news about Nemotron 3 Super (free)

OpenRouter

CoverageBenchmark

Kilo Code documents the free Nemotron 3 Super variant as a 120B-parameter hybrid MoE model activating 12B parameters, with a 262,144-token context window, 235,929 max output tokens, text input, and no input or output pricing on its coding-agent platform. It reports 15.5% completion on Terminal Bench 2.0 at zero cost per attempt from official Kilo evaluations. Community usage peaked at roughly 22 million weekly tokens around late September, with debugging mode showing a score of 78 on Kilo's leaderboard and weekly token volume ranging from about 5.5M to 22M. Function calling, tool choice, structured JSON outputs, and reasoning tokens are all supported, and the model was created March 11, 2026 with content moderation disabled.

OpenRouter

Official sourceComparison

The OpenRouter compare page for Nemotron 3 Super (free) wires the model into comparison views against flagship models such as Claude Fable 5 (batch), GPT-5.5 (batch), and Gemini 3.1 Pro Preview (batch), as well as affordable picks including DeepSeek V4 Flash 0423, Hy3 preview, and Gemini 2.5 Flash Lite (batch). It also Technically, the comparison landing page offers no new specs beyond the model page and is mostly scaffolding for side-by-side benchmarking, pricing, and context-length comparisons. The excerpt is heavily UI chrome and competitive-group labels, so fresh technical signal is limited, but it confirms Nemotron 3 Super (free

OpenRouter

Official sourceBenchmark

NVIDIA Nemotron 3 Super is a 120B-parameter open hybrid Mamba-Transformer Mixture-of-Experts model that activates only 12B parameters, with Multi-Token Prediction enabling over 50% higher token generation than leading open models. Latent MoE lets it call four experts at the cost of one, and multi-environment RL training across 10+ environments targets accuracy on AIME 2025, TerminalBench, and SWE-Bench Verified. The free variant ships with a 262K token context window on OpenRouter and reports Artificial Analysis scores of 12.8 Intelligence Index, 37.7 Coding Index, 1.7 Agentic Index, and 80.0% on GPQA Diamond under its reasoning configuration. Weights, datasets, and recipes are released under the NVIDIA Open License, allowing customization from workstation to cloud.

OpenRouter

Official source

Effective pricing across providers for NVIDIA: Nemotron 3 Super (free) - 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

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