Nemotron 3 Ultra 550B A55B
nvidia/nemotron-3-ultra-550b-a55b제공: NVIDIA · 패밀리: nemotron · 출시 2026-06-04
Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.
기능
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.
Coding96
- Tool calling40/40
- Structured output20/20
- Reasoning10/10
- Context window (100K → 1M)20/20
- Provider availability6/10
Agents96
- Tool calling35/35
- Structured output25/25
- Reasoning15/15
- Output token limit15/15
- Provider availability6/10
JSON / structured output94
- Structured output / JSON mode50/50
- Tool calling20/20
- Temperature control10/10
- Price-friendly for high-volume14/20
Cost efficiency56
- Headline price (log-scaled)51/95
- Has prompt-cache pricing5/5
Long context90
- Context window (100K → 2M)80/90
- Has published price for full window10/10
Production-readiness86
- Number of independent providers30/40
- 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 | $3.75 < $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 | $7.50 < $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 | $2.25 < $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 | $6.50 < $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 | $7.50 < $0.01 per request | 12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step. |
가격 상세
추천 가격 제공자: nvidia · nvidia/nemotron-3-ultra-550b-a55b
6곳 제공사에서 이용 가능
| 제공자 | 제공자 모델 ID | 입력 / 1M | 출력 / 1M | 컨텍스트 | 출시일 |
|---|---|---|---|---|---|
| Nvidia nvidia | nvidia/nemotron-3-ultra-550b-a55b | $0.500 | $2.50 | 1M | 2026-06-04 |
| OpenRouter openrouter | nvidia/nemotron-3-ultra-550b-a55b | $0.500 | $2.50 | 262K | 2026-06-04 |
| Vercel AI Gateway vercel | nvidia/nemotron-3-ultra-550b-a55b | $0.600 | $2.40 | 1M | 2026-06-04 |
| Together AI togetherai | nvidia/nemotron-3-ultra-550b-a55b | $0.600 | $3.60 | 512K | 2026-06-04 |
| Venice AI venice | nvidia-nemotron-3-ultra-550b-a55b | $0.625 | $3.13 | 256K | 2026-06-04 |
| Baseten baseten | nvidia/NVIDIA-Nemotron-3-Ultra-550B-A55B | $0.600 | $2.40 | 203K | 2026-06-04 |
제공자 간 데이터 불일치
- context_window varies: 1000000, 202800, 256000, 262144, 512300
- modalities varies across offerings
제공자별로 이 모델의 값이 다릅니다. 위의 핵심 정보는 대표 제공자 기준이며, 제공자별 상세는 표를 참고하세요.
Frequently asked questions
How much does Nemotron 3 Ultra 550B A55B cost?
Nemotron 3 Ultra 550B A55B costs $0.500 per 1M input tokens and $2.50 per 1M output tokens, sourced from nvidia. 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 Ultra 550B A55B?
Nemotron 3 Ultra 550B A55B has a context window of 1M tokens, with a max output of 66K tokens per reply. This is the total combined size of prompt + completion.
Does Nemotron 3 Ultra 550B A55B support tool calling?
Yes. Nemotron 3 Ultra 550B A55B 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 Ultra 550B A55B support structured output / JSON mode?
Yes. Nemotron 3 Ultra 550B A55B 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 Ultra 550B A55B accept image input?
No. Nemotron 3 Ultra 550B A55B only accepts text as input. If you need image input, see our /capabilities/vision list for current vision-capable models.
Is Nemotron 3 Ultra 550B A55B open-weight?
Yes. Nemotron 3 Ultra 550B A55B'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 Ultra 550B A55B?
If Nemotron 3 Ultra 550B A55B doesn't fit, consider Nemotron 3 Super, nemotron-3-nano-30b-a3b, nvidia-nemotron-nano-9b-v2. 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
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- Nemotron 3 Nano Omni$0.13 in / $0.38 out
Capability lists this model is in
마지막 업데이트:
Pricing and capabilities are refreshed daily and reconciled against each provider's official documentation. Always verify critical production decisions with the provider directly.