Nemotron
NVIDIA's open models, tuned for throughput rather than benchmarks.
Nemotron is NVIDIA's open-weight family, built to run fast on NVIDIA hardware. The Lightning models activate only a few billion of their parameters per token and are meant for high-throughput agent workloads, and the line includes specialised members like a content-safety classifier rather than one general model stretched over every job. Several are free to call through OpenRouter.
At a glance — Nemotron 3.5 Lightning
- Cost
- $0.07 in · $0.20 out per 1M tokensBudgetFree version too
- Memory
- 1M tokens — about 1,500 pages
- Reads
- Text
- Can do
- Use tools (agents)
- Structured output
- Thinking mode
- Good at
- Coding: better than 28% · Agentic work: better than 28% · Overall: better than 23%
- Reliability
- 99.98% uptime, last 24h
- Released
- Aug 11, 2026
Advanced details
- API model ID
nvidia/nemotron-3.5-lightning- Free version
nvidia/nemotron-3.5-lightning:free- Max output
- 236K tokens
- Cached input
- $0.04 per 1M
- Tokenizer
- Other
- Coding index
- 26.8
- Agentic work index
- 3.5
- Overall index
- 12.9
Providers
The same model, hosted by different companies. OpenRouter picks one per request and falls back to the next if it fails.
| Provider | Input /1M | Output /1M | Cached /1M | Max output | Uptime 24h |
|---|---|---|---|---|---|
| Darkbloom · int4 | $0.065 | $0.18 | — | 33K | 99.98% |
| Io Net | $0.07 | $0.20 | $0.035 | 131K | 99.90% |
| Phala | $0.07 | $0.20 | $0.04 | 236K | 99.86% |
| CoreWeave · bf16 | $0.07 | $0.20 | $0.04 | 236K | 99.96% |
| DeepInfra · bf16 | $0.08 | $0.20 | $0.04 | 131K | 99.75% |
Supported parameters
- frequency_penalty
- include_reasoning
- logit_bias
- logprobs
- max_tokens
- min_p
- presence_penalty
- reasoning
- repetition_penalty
- response_format
- seed
- stop
- structured_outputs
- temperature
- tool_choice
- tools
- top_k
- top_logprobs
- top_p
Live from OpenRouter, refreshed hourly. Scores from Artificial Analysis.
Key info
- Pricing
- Open source
- Category
- Models
- Best for
- Expert
- Made by
- NVIDIA
- Weights
- Open
- Good for
- Throughput, and specialised jobs like safety filtering