NVIDIA / nvidia/nemotron-3.5-super-vl
Nemotron 3.5 Super VL - access through LLMTR
Nemotron 3.5 Super VL is NVIDIA's open multimodal Mixture-of-Experts model, running 12 billion of its 120 billion parameters per token. It reads text, images and short videos and answers in text. It offers a 262,144-token context window, native tool calling with `auto`, `required` or a named function, JSON object mode and JSON Schema structured output. Send images as `image_url` and videos as `video_url` content parts carrying a base64 data URL. Step-by-step reasoning is on by default and returned separately from the answer, so even a short question spends reasoning tokens; switch it off per request when you need a quick answer. Reasoning tokens bill as output. `max_tokens` is accepted up to what the context window leaves after the prompt; check `finish_reason` on long answers.
Technical specifications
| Canonical ID | nvidia/nemotron-3.5-super-vl |
|---|---|
| Provider | NVIDIA |
| Context window | 262,144 tokens |
| Operations | CHAT_COMPLETIONS |
| Modalities | text, image, video |
Pricing
An 8% platform margin applies to credit top-ups; model usage prices are not separately marked up.
| Operation | Metric | Unit | Price |
|---|---|---|---|
| CHAT_COMPLETIONS | INPUT_TEXT | PER_1M_TOKENS | $0.150000 |
| CHAT_COMPLETIONS | CACHE_READ | PER_1M_TOKENS | $0.020000 |
| CHAT_COMPLETIONS | OUTPUT_TEXT | PER_1M_TOKENS | $0.500000 |
Example usage
With existing OpenAI SDK flows, change only the base URL and model identifier.
curl https://llmtr.com/v1/chat/completions -H "Authorization: Bearer llmtr-your_key" -H "Content-Type: application/json" -d '{"model":"nvidia/nemotron-3.5-super-vl","messages":[{"role":"user","content":"Hello"}]}'
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