From Screenshots to Tool Calls: NVIDIA Nemotron 3.5 Super VL on DeepInfra

DeepInfra has launched NVIDIA Nemotron 3.5 Super VL through its OpenAI-compatible API, positioning the open multimodal model for agents that combine visual understanding, reasoning, and tool use across screenshots, documents, images, and text. The model is designed to reduce the need for separate OCR, vision, and reasoning systems by interpreting visual inputs and deciding which external tools to call within a single context. Its mixture-of-experts architecture contains roughly 121 billion parameters with 12.7 billion active per token, while a Mamba-2-based backbone and limited attention layers aim to support efficient long-context agent workflows up to 262,000 tokens. DeepInfra reports generation speeds exceeding 400 tokens per second in a tested configuration using NVFP4 weights on NVIDIA Blackwell GPUs, and the model supports 10 languages, open weights, and NVIDIA fine-tuning and LoRA recipes. Suggested uses include document extraction, customer support, GUI automation, and multimodal research, with an example showing the model extracting an order number from a screenshot and calling a shipping-status lookup tool rather than relying on potentially outdated screen information. Pricing starts at $0.20 per million input tokens and $1.00 per million output tokens, while DeepInfra states it is SOC 2 and ISO 27001 certified and does not retain prompts or outputs.

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