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Models

Nemotron 3 Super

By NVIDIA. 123.6 billion parameters, a context window of 262,144 tokens and the licence other.

Facts

Released
2026-03-10 the day the repository was first published on Hugging Face Hugging Face, read
Licence
other the licence the model card declares Hugging Face, read
Open weights
Yes the weights are published in this Hugging Face repository Hugging Face, read
Parameters
123.6 billion counted from the safetensors weight files Hugging Face, read
Active parameters
Unknown
Knowledge cutoff
Unknown
Context window
  • 262,144 tokens the maximum position embeddings in the model configuration model configuration, read
  • 262,144 tokens the context length OpenRouter lists OpenRouter, read
Longest output
  • 235,929 tokens the largest output OpenRouter's first provider allows OpenRouter, read
Tool calling
  • Yes OpenRouter lists tools among the supported parameters OpenRouter, read
Structured output
  • Yes OpenRouter lists structured outputs among the supported parameters OpenRouter, read
Reasoning controls
  • Yes OpenRouter lists reasoning controls, with the efforts medium, low OpenRouter, read
Inputs and outputs
text in, text out Hugging Face, read
Good for
  • Reasoning: OpenRouter lists reasoning controls for it OpenRouter, read

Prices

Prices in US dollars per million tokens, as each source lists them
ProviderInputOutputContextAs ofSource
DekaLLM through OpenRouter0.080 USD0.450 USD262,144OpenRouter endpoints, read
DekaLLM through OpenRouter0.080 USD0.450 USD262,144OpenRouter endpoints, read
DeepInfra through OpenRouter0.085 USD0.400 USD262,144OpenRouter endpoints, read
DeepInfra through OpenRouter0.085 USD0.400 USD262,144OpenRouter endpoints, read
Pioneer direct0.090 USD0.450 USD256,000 older than 30 days; check the providermodels.dev, read

Run it on your own hardware

Weights are the sizes of the files a source lists, or an estimate from the parameter count where none does. Memory is an estimate: weights plus KV cache plus 512 MiB and 5 percent of the weights for runtime buffers. Check it against your hardware.

QuantizationWeightsMemory at 8,192 tokensMemory at 32,768 tokens
F16 estimate230 GiBUnknown: no KV cache numbersUnknown: no KV cache numbers
Q8_0 estimate122 GiBUnknown: no KV cache numbersUnknown: no KV cache numbers
Q4_0 estimate64.8 GiBUnknown: no KV cache numbersUnknown: no KV cache numbers

Start it with a local runtime

  • vLLM
    vllm serve nvidia/NVIDIA-Nemotron-3-Super-120B-A12B-FP8
  • SGLang
    sglang serve --model-path nvidia/NVIDIA-Nemotron-3-Super-120B-A12B-FP8 --port 30000

Use it from your harness

Set up for Pioneer with the model nvidia/NVIDIA-Nemotron-3-Super-120B-A12B-FP8. Each endpoint page has the same setup for its own address.

OpenCode

Put this in opencode.json in your project folder:

{
  "$schema": "https://opencode.ai/config.json",
  "provider": {
    "pioneer": {
      "npm": "@ai-sdk/openai-compatible",
      "name": "Pioneer",
      "options": {
        "baseURL": "https://api.pioneer.ai/v1",
        "apiKey": "{env:PIONEER_API_KEY}"
      },
      "models": {
        "nvidia/NVIDIA-Nemotron-3-Super-120B-A12B-FP8": {
          "name": "Nemotron 3 Super",
          "limit": {
            "context": 262144,
            "output": 235929
          }
        }
      }
    }
  }
}
  • OpenCode reads any OpenAI-compatible address through the @ai-sdk/openai-compatible package, and an address that speaks the Responses API through @ai-sdk/openai.

From OpenCode documentation, read .

Pi

Put this in ~/.pi/agent/models.json:

{
  "providers": {
    "pioneer": {
      "baseUrl": "https://api.pioneer.ai/v1",
      "api": "openai-completions",
      "apiKey": "$PIONEER_API_KEY",
      "models": [
        {
          "id": "nvidia/NVIDIA-Nemotron-3-Super-120B-A12B-FP8"
        }
      ]
    }
  }
}
  • The apiKey field can name an environment variable as $NAME.

From Pi documentation, read .

Codex

Codex speaks only the Responses API, and Pioneer documents no Responses address. A gateway that offers one can sit in between.

  • Codex speaks the Responses API only: responses is the one supported wire API of a custom provider. Ollama and LM Studio are built in and start with --oss.

From Codex documentation, read .

Claude Code

Claude Code sends Anthropic Messages requests, and Pioneer documents no such address. A gateway that translates to that API can sit in between.

  • Claude Code sends Anthropic Messages requests to ANTHROPIC_BASE_URL. Anthropic says it does not support routing Claude Code to models other than Claude through any gateway, so some features may not work with another model.

From Claude Code documentation, read .

Other ways to reach it

  • OpenRouter, model nvidia/nemotron-3-super-120b-a12b

Published results

These are results other people published. Baltor did not run them and does not rank models by them.