Nemotron 3.5 Super VL
Newnvidia/nemotron-3.5-super-vl-20261015
The NVIDIA Nemotron 3.5 Super VL model processes text, image, and video inputs to generate text outputs. It has a context length of 1,048,576 tokens and supports tool use and reasoning. It is an open-weight model with input priced at $0.10 per million tokens and output at $0.40 per million tokens.
- tool use
- structured outputs
- reasoning
- open-weight
At a glance
Specifications
What the API gives you
- Context window
- 1.0M tokens
- Max output
- 236K tokens
- Input price
- $0.100 / 1M tokens
- Output price
- $0.40 / 1M tokens
- Cache read
- $0.080 / 1M tokens
- Modalities
- text, image, video → text
- Knowledge cutoff
- —
- Released
- Oct 15, 2026
Measured evidence
Public benchmark record
- Design Arena Coding
- 1160 Elo2026-10-17
- Design Arena Website
- 1175 Elo2026-10-17
LMArena data licensed CC-BY-4.0. Aider (Apache-2.0) and SWE-bench (MIT) are open. Design Arena uses blind human preference.
Open-weight model on Hugging Face.
Task evidence
How broad is the support?
Each status is exact to this model version and the selected task. Official release claims remain provisional.
- Best LLM for Frontend & UIProvisional evidence
36% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from Design Arena UI or LiveBench Coding. 6 of 6 configured evaluation feeds currently have results.
- Best LLM for CodingProvisional evidence
16% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from Aider Polyglot or LiveBench Coding. 7 of 7 configured evaluation feeds currently have results.
Recommendation coverage
Where this model appears
Not currently included in a published recommendation. The task evidence panel above says exactly what is confirmed and what is still missing.
Catalog data via OpenRouter and models.dev. Last checked within the past 6 hours.