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| Attribute | Nemotron 3.5 Super VL (Free)nemotron-3.5-super-vl:free | o4 Mini Deep Researcho4-mini-deep-research |
|---|---|---|
| Pricing | ||
| Input | $0 / 1M | $2.00 / 1M |
| Output | $0 / 1M | $8.00 / 1M |
| Cache Write | $0 / 1M | — |
| Cache Read | $0 / 1M | $2.00 / 1M |
| Cache Write (5m) | — | $2.00 / 1M |
| Cache Write (1h) | — | $2.00 / 1M |
| Web Search | — | $0 / 1M |
| Context | ||
| Max context | 1M | 200K |
| Max output | N/A | N/A |
| Capabilities | ||
| Vision | Yes | Yes |
| Function Calling | Yes | Yes |
| JSON Mode | Yes | Yes |
| Streaming | Yes | Yes |
| Catalogue | ||
| Provider | NVIDIA | OpenAI |
| Category | chat | chat |
| Charge type | Free | Pay As You Go |
| Released | — | — |
| Description | ||
| Summary | NVIDIA Nemotron 3.5 Super VL is an open multimodal Mixture-of-Experts (MoE) model featuring 120B total parameters with 12B activated per token. Built on a hybrid Mamba–Transformer architecture with multi-token prediction, it supports text, images, documents, GUI screenshots, and video inputs, along with a 1M-token context window for complex, long-horizon workflows. Optimized for multimodal reasoning, visual understanding, and agentic tool use, the model supports configurable reasoning modes and token budgets. It is well suited for document intelligence, web research, coding validation, customer service, GUI analysis, and video understanding, enabling efficient, long-running multimodal agent applications. | o4-mini-deep-research is a faster, lower-cost version of OpenAI's deep-research model, designed for complex, multi-step investigations. It automatically relies on web_search for information gathering, which always adds extra usage cost. |