Nemotron 3.5 Super VL API
nvidia/nemotron-3.5-super-vl/chatNemotron 3.5 Super VL is NVIDIA's vision-language model, released on 15 October 2026 with 120B total and 12B active parameters. Here it is one chat endpoint that takes text, images and video, reads up to 262,144 tokens of input, and returns up to 262,144 tokens per reply with tools, streaming and optional reasoning.
Workbench
These examples were written for this endpoint. Replace the prompt and sample media URLs with your own accessible inputs, then check the current quote and model availability before submitting.
- Input types
- Text
- Output types
- Text
- Input
- $0.20 / 1 million tokens
- Cached input
- $0.04 / 1 million tokens
- Output
- $0.50 / 1 million tokens
- Context
- 262,144
- Max output
- 262,144
$0.20/0.50per 1 million tokens · input / output
basic Nemotron 3.5 Super VL is NVIDIA's vision-language model, released on 15 October 2026 with 120B total and 12B active parameters. Here it is one chat endpoint that takes text, images and video, reads up to 262,144 tokens of input, and returns up to 262,144 tokens per reply with tools, streaming and optional reasoning.
- 1024
- Input types
- Text
- Output types
- Text
- Input
- $0.20 / 1 million tokens
- Cached input
- $0.04 / 1 million tokens
- Output
- $0.50 / 1 million tokens
- Context
- 262,144
- Max output
- 262,144
$0.20/0.50per 1 million tokens · input / output
tool-step For a chart-reading task with Nemotron 3.5 Super VL, attach the chart and request its labels, the trend and any values that cannot be read reliably. Keep observations separate from estimates. The vision-language endpoint accepts image and video parts, but not audio; it produces text rather than a revised image. Ask for a tool call only when an external calculation or lookup is needed, and verify its arguments before execution.
- 1024
- auto
This example starts at Input $0.20 / Output $0.50 per 1 million tokens. The Playground updates the estimate when you change the settings.