Nemotron 3 Super
Nemotron 3 Super is available on the Respan AI Gateway for production LLM workloads. Up to 262K context window.
# Paste into Claude Code, Cursor, or Codex
Help me set up the Respan gateway: fetch and follow https:/
- Context window
- 262K tokens
- Input from
- $0.10/M
- Output from
- $0.48/M
- Providers
- 1
- Released
- Mar 11, 2026
Providers
One provider serves this model through the Respan gateway. Copy a model ID to call that route directly.
| Provider | Input | Output |
|---|---|---|
Inference.net inference_net/nemotron-3-super | $0.10/M | $0.48/M |
Pricing
USD per 1M tokens on Inference.net, after gateway discounts.
- Input
- $0.10/M
- Output
- $0.48/M
- Cache read
- $0.00/M
- Cache write
- $0.00/M
Cost by volume
Total cost from 0 to 1T tokens.
Throughput and latency
30-day averages per provider from requests through the Respan gateway, best first.
Output speed
Higher is better8tokens/son Inference.net
- Inference.net8 tok/s
Response latency
Lower is better3.4son Inference.net
- Inference.net3.4 s
Apps
Use Nemotron 3 Super in the tools you already run. Each guide points the app at the Respan gateway, then you pick this model.
Claude CodeAnthropic's coding agent for the terminal
OpenCodeOpen-source terminal coding agent
Kilo CodeOpen-source coding agent for your editor
PiMinimal terminal coding agent
Codex CLIOpenAI's coding agent for the terminal
CursorAI code editor
LangChainFramework for LLM apps and agents
LlamaIndexAgents and RAG over your data
CrewAITeams of collaborating agents
Pydantic AIType-safe Python agent framework
Vercel AI SDKTypeScript toolkit for AI apps
Anthropic SDKAnthropic's client for Python and TS
Google Gen AIGoogle's SDK for Gemini models
LiteLLMOne Python interface for every provider
InstructorStructured outputs from LLMs
Setup guides for more apps are in the integration docs.
Nemotron 3 Super FAQ
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