llama-3.3-nemotron-super-49b-v1
Llama-3.3-Nemotron-Super-49B-v1.5 is a 49B-parameter, English-centric reasoning/chat model derived from Meta’s Llama-3.3-70B-Instruct with a 128K context. It’s post-trained for agentic workflows (RAG, tool calling) via SFT across math, code, science, and...
Capabilities
Modalities
Quick stats
Performance
Supported parameters
| Parameter | Always | Default |
|---|---|---|
| frequency_penalty | (do not send) | |
| include_reasoning | - | |
| logit_bias | - | |
| max_tokens | - | |
| min_p | - | |
| presence_penalty | (do not send) | |
| reasoning | - | |
| repetition_penalty | (do not send) | |
| response_format | - | |
| seed | - | |
| stop | - | |
| temperature | 0.6 | |
| tool_choice | - | |
| tools | - | |
| top_k | (do not send) | |
| top_p | 0.95 |
Pricing
| Input price | $0.00 · 1M tokens |
| Output price | $0.00 · 1M tokens |
| Context window | 128K tokens |
| Compatible endpoints | openai |
| Vendor | NVIDIA |
Call llama-3.3-nemotron-super-49b-v1 from your code
Point any OpenAI-compatible SDK at UnoRouter and request the model by name. Replace YOUR_API_KEY with a real key from your dashboard.
curl https://api.unorouter.com/v1/chat/completions \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "llama-3.3-nemotron-super-49b-v1",
"messages": [{"role": "user", "content": "Hello!"}]
}'Frequently asked questions
How much does llama-3.3-nemotron-super-49b-v1 cost per 1M tokens?
Input is priced at $0.00 per 1M tokens, output at $0.00 per 1M tokens. Billing is per token, no rounding to batch sizes.
How do I access llama-3.3-nemotron-super-49b-v1 via API?
Send requests to the UnoRouter /v1/chat/completions endpoint with model=llama-3.3-nemotron-super-49b-v1. Any OpenAI-compatible client library works. Authentication uses a standard Bearer token.
What is the context window of llama-3.3-nemotron-super-49b-v1?
llama-3.3-nemotron-super-49b-v1 supports a context window of 128K tokens, shared between your prompt and the model's response.
Similar models
Try llama-3.3-nemotron-super-49b-v1 now
Create an API key and start making requests in under a minute.