Nemotron 3.5 Super VL
- Context
- 1.0M
- Listed
- Today
- Parameters
- —
- Input / 1M tokens
- $0.15
- Output / 1M tokens
- $0.50
- Cached input / 1M tokens
- $0.02
Sources:OpenRouter
Benchmarks
DeepSWE is the primary coding benchmark where an exact model evaluation exists. Other sourced evaluations appear below; missing scores are not zero.
Not evaluated in DeepSWE 1.1 as of 2026-09-22. Results are only shown for exact model versions in the official dataset. Official leaderboard.
No benchmark results have been matched to this model yet.
Specifications
- Developer
- NVIDIA
- Model family
- Nemotron
- Type
- Language model
- Predecessor
- —
- Successor
- —
- Listed on OpenRouter
- October 15, 2026
- Model ID
nvidia/nemotron-3.5-super-vl- Openness
- Open weights
- License
- —
- Parameters
- —
- Input modalities
- text, image, video
- Output modalities
- text
- Modality
- text+image+video->text
- Tokenizer
- Other
- Max output tokens
- 236K
- Hugging Face
- nvidia/NVIDIA-Nemotron-3.5-Super-VL
- Source freshness
- Endpoints synced Oct 15, 2026, 5:18 PM UTC
Infrastructure
Provider availability
| Provider | Endpoint | Context | Input /M tokens | Output /M tokens | Cached input /M tokens | Cache write /M tokens | Uptime 1d | Data handling |
|---|---|---|---|---|---|---|---|---|
| together | 262K | $0.15 | $0.50 | $0.02 | — | 100.00% | ZDR: YesTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| deepinfra/fp4 | 262K | $0.20 | $1.00 | $0.10 | — | 100.00% | ZDR: YesTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| coreweave/nvfp4 | 1.0M | $0.25 | $1.50 | $0.05 | — | 100.00% | ZDR: YesTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 |
Provider data:OpenRouter
Deployment graph
Can I run this?
Vertical Tabs only shows compatibility when it has structured evidence tying this exact model to hardware, runtime, quantization, memory use, and observed performance.