Current model · NVIDIA
Nemotron 3.5 Super VL benchmarks, pricing and specs
Nemotron 3.5 Super VL is a NVIDIA model released on October 15, 2026 that takes text, image and video input and produces text. Its price is not published and accepts up to 1,000,000 tokens of context.
- Context window
- 1M#26 of 64 current models
Data verified October 23, 2026 · Dataset 2026-10-23
Specs
Key facts
- Provider
- NVIDIA
- Model family
- Nemotron 3.5
- Release date
- October 15, 2026
- Status
- Current
- Access
- open weights
- API model id
- Not reported
- Context window
- 1,000,000 tokens
- Max output
- Not reported
- Input
- text, image, video
- Output
- text
- Task families
- text, multimodal
- Declared capabilities
- reasoning, agentic coding, image understanding, document understanding, chart understanding, ocr, video understanding
Charts
Against every current text model
Where Nemotron 3.5 Super VL lands among the current models of its task, on every independent benchmark, on price and on context.
Where it stands
Nemotron 3.5 Super VL is no longer a current model, so it is not ranked; each bar is the share of today's text models its value beats. Each bar is the share of current models it beats.
Price and context
Context window
#26of 64
1M tokens · longer than 22%
Benchmarks
Independent benchmark results
Scores come from independent evaluators that ran the model themselves, pinned to a dated snapshot. Rank is among current models in the same snapshot. NVIDIA's own launch figures are listed under strengths with the publisher named, because they are not measured the same way.
No independent benchmark has published a result for Nemotron 3.5 Super VL yet. It is still compared below on price, context and capabilities.
Fit
Strengths, cautions and best uses
- Strengths
- A 120B mixture-of-experts vision-language model with 12B active parameters and up to 1M tokens of context that reads images, charts, documents and videos of up to two minutes
- NVIDIA reports 89.5% on GPQA Diamond and 71.1% on SWE-bench Verified in BF16, with the NVFP4 build within a point on most tests
- Open weights, data and training recipes under the OpenMDW-1.1 licence, on Hugging Face, OpenRouter and ModelScope and as an NVIDIA NIM
- Cautions
- NVIDIA calls it 5x faster than the next best open model in its class; that speed claim is not measured independently here
- NVIDIA sells no per-token API for it, so hosted prices come from third parties, and no independent benchmark score is recorded here yet
- Best for
- Agents that read screenshots, charts and documents
- Self-hosted multimodal agents on NVIDIA hardware
From benchmark to production
Building on Nemotron 3.5 Super VL?
Public scores rarely hold on your own data. We test it against the alternatives on your real tasks, then build the agent or pipeline around the model that wins.
Alternatives
Alternatives to Nemotron 3.5 Super VL
The closest current text models by price. The cheapest model that scores as well or better is listed first; failing that, the cheapest one within 3% of the benchmark's scale.
Muse Spark Open
- From Meta
Beam 1.0
- From Reflection AI
Muse Wonder
- From Meta
Mercury 3
- From Inception
Further reading
More on Nemotron 3.5 Super VL
Other Nemotron 3.5 models
FAQ
Nemotron 3.5 Super VL FAQ
What is the context window of Nemotron 3.5 Super VL?
Nemotron 3.5 Super VL accepts up to 1,000,000 tokens of context. That ranks #26 of 64 current text models by context length.
Is Nemotron 3.5 Super VL open source or API only?
Nemotron 3.5 Super VL is released as open weights that you can run yourself.
What are the best alternatives to Nemotron 3.5 Super VL?
The closest current alternatives by price and measured performance are Muse Spark Open (from Meta), Beam 1.0 (from Reflection AI), Muse Wonder (from Meta) and Mercury 3 (from Inception).
Sources
Sources
- NVIDIA expands Nemotron with Super VL and Bolt models · NVIDIA · official · verified October 23, 2026
- NVIDIA Nemotron 3.5 Super VL 120B-A12B model card · NVIDIA · official · verified October 23, 2026
Cite this page
Van Data Team. "Nemotron 3.5 Super VL Benchmarks, Pricing and Specs." AI Model Benchmark Dataset 2026-10-23. https://vandatateam.com/ai-model-benchmarks/nemotron-3-5-super-vl
Reuse the data: JSON · CSV · or explore every model in the AI model benchmark comparison.
Production evaluation
Deciding whether Nemotron 3.5 Super VL fits your workload?
Public benchmarks narrow the shortlist. We test the finalists on your own tasks, data and cost limits, then build the routing and review controls to run the winner in production.
- Evaluation cases and acceptance thresholds tied to real work
- Model routing, fallbacks and cost controls