Nemotron 3.5 Super VL API pricing
Nvidia · Budget price tier · released 2026-10. Prices in USD per 1 million tokens. Data snapshot: 2026-10-22.
The price we quote for Nemotron 3.5 Super VL has changed once since 2026-10-17, most recently by +27.4% on 2026-10-20; it is now the 80th cheapest of 164 models in the Budget price tier. Buying from Crusoe rather than at the price we quote lowers the token price by about 22%. No Arena score is published for it, so it carries no Efficiency score and cannot hold the FinOps Friendly badge.
- Input: $0.15 per 1M tokens
- Output: $0.50 per 1M tokens
- Batch API (in/out): Not published
- Prompt-cache read: $0.02 per 1M tokens
- Context window: 1M tokens
- Arena ELO: Not published
Market position
On blended price ($0.395 per 1M tokens at 30% input, 70% output) it is cheaper than 52% of models in the Budget price tier: 80th cheapest of 164. Across every price tier it is cheaper than 74% of priced text models in the catalogue: 80th cheapest of 308.
Licence, size and capabilities
No licence is recorded for Nemotron 3.5 Super VL, so this page does not say whether it can be self-hosted. Its published size is 120B parameters. Listed capabilities: Text, Vision, Reasoning, Agents. Filling its 1M context window once costs $0.15 in input tokens at list price.
Pricing by host
A host is a company that runs the model and sells it by the token: the model maker, a cloud platform like Amazon Bedrock, Azure or Vertex, or an independent host. One model, several hosts, and often several prices. This model is sold by 7 different hosts. The price we quote elsewhere on this page is marked. We quote one host's rate so that models stay comparable; it is not a recommendation to buy there.
Cheapest host: Crusoe at $0.10 input / $0.40 output per 1M tokens, 22% below the price we quote on the blended price (30% input, 70% output). The dearest, Venice, charges 3.1x the cheapest.
| Host | Input $/1M | Output $/1M | Precision |
|---|---|---|---|
| Crusoe | $0.10 | $0.40 | bf16 |
| Io Net (price we quote) | $0.15 | $0.50 | nvfp4 |
| Together (price we quote) | $0.15 | $0.50 | not declared |
| DeepInfra (price we quote) | $0.15 | $0.50 | fp4 |
| CoreWeave (price we quote) | $0.15 | $0.50 | nvfp4 |
| BaseTen | $0.20 | $0.50 | fp4 |
| Venice | $0.25 | $1.25 | fp4 |
List prices as published on 2026-10-22, via OpenRouter. Negotiated rates, committed-use discounts and provisioned capacity are not shown. These hosts do not all serve the model at the same numeric precision, so the cheapest is not a like-for-like substitute for the dearest.
Monthly cost at 100K requests, by business use case
From the after-discounts figure (prompt caching on the cached input share, batch API for async workloads, only where Nvidia publishes those rates), which assumes you implement both, to the list price. One figure means no discount is published.
| Use case | Tokens (in/out) | Monthly (after discounts – list) |
|---|---|---|
| Support Ticket | 1,500 / 500 | $36 – $48 |
| Knowledge Q&A | 2,000 / 800 | $52 – $70 |
| Meeting Summary | 10,000 / 1,200 | $197 – $210 |
| Marketing Content | 2,500 / 1,800 | $121 – $128 |
| Coding Task | 3,000 / 2,000 | $126 – $145 |
| Invoice Processing | 1,500 / 600 | $47 – $53 |
| Call Summary | 2,000 / 700 | $62 – $65 |
| Agent Workflow | 6,000 / 3,000 | $185 – $240 |
Price history
Nemotron 3.5 Super VL entered our daily price archive on 2026-10-17; tracking began on 2026-08-15. It listed at $0.10 input / $0.40 output per 1M tokens that day. The price we quote has changed once since then. The latest change, on 2026-10-20, was +27.4% on the blended price (30% input, 70% output), to $0.15 input / $0.50 output.
| Date | Old price (in / out) | New price (in / out) | Blended change |
|---|---|---|---|
| 2026-10-20 | $0.10 / $0.40 | $0.15 / $0.50 | +27.4% |
Alternatives to Nemotron 3.5 Super VL
- Next cheaper model in the Budget price tier: Qwen2.5 72B Instruct (Alibaba) at $0.388 blended, 2% less.
- Next more expensive: Llama 3.1 70B Instruct (Meta) at $0.40 blended, 1% more.
Other models from Nvidia
Nvidia has 5 other models in the catalogue. Prices per 1M tokens, input then output.
- Nemotron 3.5 Lightning: $0.07 / $0.20
- Nemotron 3 Nano 30B A3B: $0.06 / $0.24
- Nemotron 3.5 Content Safety: $0.20 / $0.20
- Nemotron 3 Super: $0.30 / $2.40
- Nemotron 3 Ultra: $0.60 / $2.40
All 6 Nvidia models and prices
Common questions about Nemotron 3.5 Super VL pricing
- How much does Nemotron 3.5 Super VL cost?
- Nemotron 3.5 Super VL costs $0.15 per 1M input tokens and $0.50 per 1M output tokens at Io Net, the host whose rate we quote. Io Net serves a quantized nvfp4 build, which is not the same product as the full-precision model. Prices as listed on 2026-10-22.
- Which host is cheapest for Nemotron 3.5 Super VL?
- Cheapest host: Crusoe at $0.10 input / $0.40 output per 1M tokens, 22% below the price we quote on the blended price (30% input, 70% output). The dearest, Venice, charges 3.1x the cheapest. Host rates as listed on 2026-10-22.
- Does Nemotron 3.5 Super VL offer batch or cached pricing?
- Yes, for prompt caching only. Cache reads cost $0.02 per 1M tokens, as listed on 2026-10-22. No batch pricing is published.
- What would Nemotron 3.5 Super VL cost per month?
- With the Support Ticket profile (1,500 input and 500 output tokens per request), 100,000 requests a month cost about $48 on Nemotron 3.5 Super VL at the list price quoted on 2026-10-22.
- Can Nemotron 3.5 Super VL be self-hosted?
- No licence is recorded for Nemotron 3.5 Super VL, so this page does not say whether it can be self-hosted.
- Has the price of Nemotron 3.5 Super VL changed?
- Nemotron 3.5 Super VL entered our daily price archive on 2026-10-17; tracking began on 2026-08-15. It listed at $0.10 input / $0.40 output per 1M tokens that day. The price we quote has changed once since then. The latest change, on 2026-10-20, was +27.4% on the blended price (30% input, 70% output), to $0.15 input / $0.50 output.
These are list prices. Your real cost also depends on caching and batching, negotiated discounts, marketplace agreements, and the contracts you already have. OptimNow audits exactly that.
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