NVIDIA: Nemotron 3.5 Super VL
NVIDIA vision-language reasoning model for text, image, and video understanding and agentic tool use
Price changes
Cheapest list input/output only. Rates move rarely, so this is an event log. Down means cheaper. Showing the 8 latest changes.
- ↓ lowerOutput $0.4 → $0.35
- ↓ lowerInput $0.1 → $0.06
Sources
Same model, different sources. Our first-party rate is listed first, then router and aggregator rows stay separate so you can see the spread instead of a single blended number. Free/$0 listings are hidden by default (3 omitted). Show free/$0 listings.
| Source | Provider | Input | Output | Cache read | Context |
|---|---|---|---|---|---|
| models.devcheapestnvidia/nemotron-3.5-super-vl | Kilo Gateway | $0.06 | $0.35 | $0.01 | 1.0M |
| LiteLLMnemotron-3.5-super-vl | N/A | $0.081 | $0.4725 | $0.0135 | N/A |
| LiteLLMkyma/nemotron-3.5-super-vl | N/A | $0.081 | $0.4725 | $0.0135 | N/A |
| models.devnvidia/NVIDIA-Nemotron-3.5-Super-VL | Together AI | $0.15 | $0.5 | $0.02 | 262K |
| models.devnvidia/nemotron-3.5-super-vl | NanoGPT | $0.15 | $0.5 | $0.02 | 262K |
| OpenRouternvidia/nemotron-3.5-super-vl | OpenRouter | $0.15 | $0.5 | $0.02 | 1.0M |
| LiteLLMnvidia/NVIDIA-Nemotron-3.5-Super-VL | N/A | $0.15 | $0.5 | $0.02 | N/A |
| LiteLLMNVIDIA-Nemotron-3.5-Super-VL | N/A | $0.15 | $0.5 | $0.02 | N/A |
| models.devnvidia/nemotron-3.5-super-vl | Vercel AI Gateway | $0.2 | $0.5 | $0.04 | 1.0M |
| models.devnemotron-3.5-super-vl | DigitalOcean | $0.3 | $0.65 | $0.06 | 1.0M |
| models.devnvidia/Nemotron-3.5-Super-VL | Nebius | $0.3 | $0.9 | $0.06 | 1.0M |
Capabilities
- Reasoning
- Tool calling
- Structured output
- Attachments
- Open weights
- In: text
- In: image
- In: video
- Out: text
Scores
Sparse coverage on purpose. Missing a score means we have not linked one yet, not that the model is unranked. Hover or tap the i next to any score for its source. Full boards on /benchmarks.
Arena rows are community-vote Elo from Arena AI, Artificial Analysis indices arrive via OpenRouter, and launch-eval figures are collected from vendor announcements, analyst writeups, and community benchmarks. Full boards and credits on /benchmarks.
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