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Nemotron 3 Super (free)

by NVIDIA · Released Mar 2026

Open Source
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Context
262K tokens (~131 books)
Input $/1M
Free
Output $/1M
Free
Type
text
License
Open Source
Benchmarks
0 tested
Data as of
About

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...

No benchmark data available yet.

Model Family · NVIDIA Nemotron 3
Dec 2025
$0.05/M in262Kctx
Dec 2025
$0.00/M in(-0.05)256Kctx(-6K)
Apr 2026
$0.00/M in256Kctx
Mar 2026
10.2
$0.08/M in(+0.08)262Kctx(+6K)18 benchmarks
Mar 2026
$0.00/M in(-0.08)262Kctx
Jun 2026
45.6+35.4
$0.50/M in(+0.50)1.0Mctx(+738K)29 benchmarks
Jun 2026
$0.60/M in(+0.10)512Kctx(-488K)
Jun 2026
$0.00/M in(-0.60)1.0Mctx(+488K)
Jun 2026
$0.20/M in(+0.20)131Kctx(-869K)
Jun 2026
$0.00/M in(-0.20)128Kctx(-3K)
Aug 2026
$0.06/M in(+0.06)262Kctx(+134K)7 benchmarks
Aug 2026
$0.00/M in(-0.06)1.0Mctx(+738K)
See the full Nemotron 3 family →
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nemotron-3-super-120b-a12b-free
Specifications
  • Typetext
  • Context262K tokens (~131 books)
  • ReleasedMar 2026
  • LicenseOpen Source
  • StatusActive
  • Cost / Message~$0.000
Available On
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Nemotron 3 Super (free) is an open-source text AI model by NVIDIA, released in March 2026. Context window: 262K tokens.

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Qwen3 Coder Next FP8 · AlibabaQwen2.5 Coder 32B Instruct AWQ · AlibabaSpeaker Diarization Community 1 · PyannoteGemma 3 12B (free) · Google DeepMindQwen3 Next 80B A3B Instruct (free) · Alibaba Qwen

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Key facts · as of 2026-10-05

  • Nemotron 3 Super (free) by NVIDIA. Not enough public benchmark scores to rank yet.
  • List price free input · free output per 1M tokens (as of 2026-10-05).

How to cite · data as of 2026-10-05

Nemotron 3 Super (free) · benchmarks, pricing and providers. BenchGecko, data as of 2026-10-05. https://benchgecko.ai/model/nemotron-3-super-120b-a12b-free

Credit "Source: BenchGecko" with a link. Prices per provider and Gecko Tests are BenchGecko data (CC BY 4.0); benchmark scores keep their original source, listed in the JSON. JSON · llms.txt · MCP