by NVIDIA·Text·128K context·Released 2026-01-22·NVIDIA Open Model
Overview
NVIDIA's mid-size open-weight model, tuned for agentic and retrieval-augmented pipelines and optimized to run efficiently on NVIDIA inference stacks. Good throughput and dependable instruction-following at a low price, with solid reasoning for its tier. Widely available across providers, it's a reasonable pick for RAG and tool-use workloads that don't need a frontier model.
Benchmarks
Standardized scores (0–100), normalized across the catalog.
Intelligence50
Coding66
Instruction following88
Providers
LLMRouteHub routes to the cheapest healthy provider by default. Showing the top 5 of 6 providers by routed volume.
| Provider | Input | Output | Throughput | Uptime |
|---|---|---|---|---|
| Hyperbolic | $0.09 | $0.45 | 118 tok/s | 99.7% |
| Parasail | $0.11 | $0.55 | 110 tok/s | 99.6% |
| DeepInfra | $0.13 | $0.66 | 101 tok/s | 99.4% |
| Together | $0.14 | $0.69 | 93 tok/s | 99.3% |
| Fireworks | $0.16 | $0.80 | 85 tok/s | 99.1% |
Use this model
curl https://llmroutehub.com/api/v1/chat/completions \
-H "Authorization: Bearer $LLMROUTEHUB_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "nvidia/nemotron-3-super",
"messages": [{ "role": "user", "content": "Hello" }]
}'