Nemotron 3 Nano Omni
nvidia/nemotron-3-nano-omni-30b-a3b-reasoning提供： NVIDIA · ファミリー: nemotron · リリース 2026-04-28 · 知識カットオフ: 2025-05
Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.
機能一覧
Model fit scores
0–100 · higher is betterThese scores reward declared capabilities, context size, price and provider availability — they are not benchmark results. Use them as a directional signal alongside your own evaluation.
Coding81
- Tool calling40/40
- Structured output20/20
- Reasoning10/10
- Context window (100K → 1M)8/20
- Provider availability3/10
Agents93
- Tool calling35/35
- Structured output25/25
- Reasoning15/15
- Output token limit15/15
- Provider availability3/10
JSON / structured output99
- Structured output / JSON mode50/50
- Tool calling20/20
- Temperature control10/10
- Price-friendly for high-volume19/20
Cost efficiency70
- Headline price (log-scaled)70/95
- Has prompt-cache pricing0/5
Long context60
- Context window (100K → 2M)50/90
- Has published price for full window10/10
Vision84
- Accepts image input50/50
- Context window (10K → 1M)21/30
- Has published price10/10
- Provider availability3/10
Production-readiness71
- Number of independent providers15/40
- Has published per-token price20/20
- Context window ≥ 8K15/15
- No data inconsistencies across providers6/10
- Official model (not derivative)15/15
Cost Efficiency Index
Open full calculator →Estimated cost using the recommended provider's headline rate. Each scenario fixes average input/output tokens — the assumptions are shown in the third column.
| Scenario | Cost | Assumption |
|---|---|---|
RAG answer per 1,000 RAG answers | $0.84 < $0.01 per request | 5K input tokens (query + 4 retrieved chunks of ~1K each) and a 500-token answer. Typical SaaS knowledge-base bot. |
Support ticket triage per 10,000 tickets | $1.68 < $0.01 per request | 1K input tokens (ticket body + system prompt) and a 100-token JSON classification reply. High-volume customer support. |
Data extraction per 1,000 documents | $0.45 < $0.01 per request | 2K input tokens (a single document page) and a 500-token JSON extraction. ETL / invoice / form pipelines. |
Code review per 1,000 PRs | $1.42 < $0.01 per request | 8K input tokens (diff + surrounding files) and a 1K-token review comment. PR-bot workloads. |
Agent step per 1,000 steps | $1.79 < $0.01 per request | 12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step. |
料金詳細
推奨料金 (提供元): vultr · nvidia/Nemotron-3-Nano-Omni-30B-A3B-Reasoning-BF16
最安プロバイダー: nvidia · Unknown 入力 + Unknown 出力
3 か所で利用可能
| プロバイダー | プロバイダーモデルID | 入力 / 1M | 出力 / 1M | コンテキスト | リリース日 |
|---|---|---|---|---|---|
| Nvidia nvidia | nvidia/nemotron-3-nano-omni-30b-a3b-reasoning | Unknown | Unknown | 256K | 2026-04-28 |
| Vultr vultr | nvidia/Nemotron-3-Nano-Omni-30B-A3B-Reasoning-BF16 | $0.130 | $0.380 | 262K | 2026-04-28 |
| NanoGPT nano-gpt | nvidia/nemotron-3-nano-omni-30b-a3b-reasoning | $0.105 | $0.420 | 256K | 2026-04-28 |
プロバイダー間でデータに差異
- context_window varies: 256000, 262144
- modalities varies across offerings
プロバイダーごとに本モデルの値が異なります。上部の「主要数値」は代表的プロバイダーを使用しています。詳細は表をご確認ください。
Frequently asked questions
How much does Nemotron 3 Nano Omni cost?
Nemotron 3 Nano Omni costs $0.130 per 1M input tokens and $0.380 per 1M output tokens, sourced from vultr. Cache reads, audio tokens and >200K-context tiers (where applicable) are listed in the Pricing detail block above.
What is the context window of Nemotron 3 Nano Omni?
Nemotron 3 Nano Omni has a context window of 256K tokens, with a max output of 66K tokens per reply. This is the total combined size of prompt + completion.
Does Nemotron 3 Nano Omni support tool calling?
Yes. Nemotron 3 Nano Omni supports tool calling (function calling). This makes it suitable for production agent and automation workloads where the model has to invoke external functions reliably.
Does Nemotron 3 Nano Omni support structured output / JSON mode?
Yes. Nemotron 3 Nano Omni supports structured output / JSON-schema-constrained decoding. This makes it suitable for production agent and automation workloads where the model has to invoke external functions reliably.
Can Nemotron 3 Nano Omni accept image input?
Yes. Nemotron 3 Nano Omni accepts both text and image input. Vision pricing per image is usually billed on top of the regular token rate — check NVIDIA's docs for the exact rule.
Is Nemotron 3 Nano Omni open-weight?
Yes. Nemotron 3 Nano Omni's weights are publicly available, so you can self-host or fine-tune. Note that open weights ≠ open source — the training data and code are typically not released.
What are the best alternatives to Nemotron 3 Nano Omni?
If Nemotron 3 Nano Omni doesn't fit, consider Nemotron 3 Super, nemotron-3-nano-30b-a3b, Nemotron 3 Ultra 550B A55B. Each one targets the same use case — see the Related links below for direct head-to-head pages.
Where does this data come from?
All numbers are normalised into a single canonical model record and reconciled with each provider's official documentation. We re-pull daily and write any changes (price, context, capability) to the /changelog page.
Explore more
More NVIDIA models
- Nemotron 3 Super$0.20 in / $0.80 out
- nemotron-3-nano-30b-a3b$0.05 in / $0.20 out
- Nemotron 3 Ultra 550B A55B$0.50 in / $2.50 out
- nvidia-nemotron-nano-9b-v2$0.04 in / $0.16 out
- Llama 3.3 Nemotron Super 49B v1.5$0.05 in / $0.25 out
Capability lists this model is in
最終更新：
Pricing and capabilities are refreshed daily and reconciled against each provider's official documentation. Always verify critical production decisions with the provider directly.