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Daily blended price ($/1M) — recorded each day, builds into a trend over time.
Typical 3:1 output-to-input mix, per 1M tokens
Price as of 2026-05-11 · Source: nvidia_reference_catalog
General-purpose text generation, chat, summarization and content workloads where broad capability and low cost matter most.
NVIDIA-Nemotron-Nano-9B-v2 is a large language model (LLM) trained from scratch by NVIDIA, and designed as a unified model for both reasoning and non-reasoning tasks. It responds to user queries and...
nemotron-nano-9b-v2 is a Text model from NVIDIA (US). HotON.ai tracks it at $0.04 per 1M input tokens and $0.16 per 1M output tokens, with a 131K-token context window. Its composite efficiency score is 89/100 at an estimated $0.000 per successful task.
nemotron-nano-9b-v2 is tracked at $0.04 per 1M input tokens and $0.16 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $0.13 per 1M tokens. Figures are illustrative demo data.
General-purpose text generation, chat, summarization and content workloads where broad capability and low cost matter most.
nemotron-nano-9b-v2 supports up to a 131K-token context window — large enough for long documents and extended conversations in a single request.
Within the HotON.ai tracked set, nemotron-nano-9b-v2 is cheaper than 94% of models on input price and ranks #251 of 537 by overall efficiency.
Yes — qwen3-235b-a22b-2507 is a lower-cost option at $0.10 per 1M output tokens, while still covering similar Text use cases. Compare them side by side on HotON.ai.
Ready to paste into articles, papers or AI prompts — prices and date refresh with the live data.
HotON.ai — nemotron-nano-9b-v2 (NVIDIA): $0.04/1M input, $0.16/1M output, as of 2026-05-11. https://hoton.ai/en/models/nvidia-nemotron-nano-9b-v2Pricing is real (via the TestKey catalog, updated daily). Quality (Arena Elo) is real where the model is ranked on LMArena. Efficiency is a modeled composite of real price and context.