NVIDIA: Nemotron 3 Nano 30B A3B
nvidia/nemotron-3-nano-30b-a3b
Cheapest provider
$0.05 / 1M
Ambient
Fastest provider (p95)
141 tok/s
Ambient
Intelligence (estimated)
50.0
Family + generation + popularity + price tier
Per-provider performance
Latency / throughput / uptime / price measured across providers over the last 30 minutes of live traffic. This is what proves “sourced cheapest” — Atlas mode draws on these per call to serve the cheapest path that holds quality.
| Provider | Quant | Input $/1M | Output $/1M | Latency p50 / p95 | Throughput p50 / p95 | Uptime 30m | Success |
|---|---|---|---|---|---|---|---|
| Ambient | q4· fp4 | $0.0500 | $0.2000 | 9733ms / 30294ms | 108 / 141 tok/s | 91.97% | 53.4% |
| DeepInfra | q4· fp4 | $0.0500 | $0.2000 | 1586ms / 11673ms | 74 / 116 tok/s | 96.55% | 96.4% |
“—” means live telemetry hasn’t accumulated enough recent traffic for that endpoint. “undisclosed” means the provider serves the model but doesn’t expose the quantization label (typically running fp8 / int8 internally).
Intelligence estimate
No public benchmark numbers indexed for this model yet, so the leaderboard score is derived from the catalogue data we sync: model family standing, generation, and live usage rank — applied identically to open- and closed-weight models. The heuristic ceiling sits below confirmed-benchmark frontier models so curated rankings stay clearly on top.
- ·unknown family base
Want a curated score? File a benchmark report and we’ll add it to the next sync.
How Atlas mode sources NVIDIA: Nemotron 3 Nano 30B A3B
- Strict mode — pin NVIDIA: Nemotron 3 Nano 30B A3B exactly and we pass it straight through, sourced from the cheapest provider above. The same model, no substitutions — currently Ambient at $0.05/1M.
- Atlas mode — the default. Each call is auto-optimized for the cheapest path that holds quality, at least 5% off going direct from call one and climbing as it ramps. You always see which model served the call and exactly what you saved — thumbs-down anything you don’t like for a full refund.