Deepinfra
100.00%Context262.1K
Max output262.1K
p50 latency270 ms
Throughput104.5 t/s
Input price$0.05
Output price$0.24
Zero retentionNo training
Model directory
Baseer model profileLanguage model
nvidia/nemotron-3-nano-30b-a3b
Nemotron 3 Nano 30B A3B
NVIDIA Nemotron 3 Nano is an open reasoning model optimized for fast, cost-efficient inference. Built with a hybrid MoE and Mamba architecture and trained on NVIDIA-curated synthetic reasoning data, it delivers strong multi-step reasoning with stable latency and predictable performance for agentic and production workloads.
Input / 1M tokens$0.05
Output / 1M tokens$0.24
Maximum context262.1K
Inference providers1
Price comparison
USD per one million tokens, using current provider data.
Provider latency
Last-hour p50 in milliseconds; lower is better.
Provider uptime
Reported availability over the last 24 hours; not a contractual SLA.
Inference providers
Compare current pricing, performance, and privacy across every available provider.
| Provider | Maximum context | Max output | p50 latency | p50 throughput | 24h uptime | Input / 1M tokens | Output / 1M tokens | Privacy |
|---|---|---|---|---|---|---|---|---|
Deepinfra | 262.1K | 262.1K | 270 ms | 104.5 t/s | 100.000% | $0.05 | $0.24 |
What can this model do?
Available modalities and capabilities across inference providers.
TextAdvanced reasoningTool useTools
Technical profile
- Model type
- Language model
- Release date
- Dec 15, 2025
- Knowledge cutoff
- —
- Regions
- —
- API specifications
- V2, V3, V4
- Temperature control
- Supported
Model identifier
nvidia/nemotron-3-nano-30b-a3bModel profile updated: Sep 12, 2026, 1:46 PM
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