Access and Use NVIDIA: Llama 3.3 Nemotron Super 49B V1.5 via OpenRouter using API Key
Ann Ng
Access and Use llama-3.3-nemotron-super-49b-v1.5 via OpenRouter
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 multi-turn chat, followed by multiple RL stages; Reward-aware Preference Optimization (RPO) for alignment, RL with Verifiable Rewards (RLVR) for step-wise reasoning, and iterative DPO to refine tool-use behavior. A distillation-driven Neural Architecture Search (“Puzzle”) replaces some attention blocks and varies FFN widths to shrink memory footprint and improve throughput, enabling single-GPU (H100/H200) deployment while preserving instruction following and CoT quality.
In internal evaluations (NeMo-Skills, up to 16 runs, temp = 0.6, top_p = 0.95), the model reports strong reasoning/coding results, e.g., MATH500 pass@1 = 97.4, AIME-2024 = 87.5, AIME-2025 = 82.71, GPQA = 71.97, LiveCodeBench (24.10–25.02) = 73.58, and MMLU-Pro (CoT) = 79.53. The model targets practical inference efficiency (high tokens/s, reduced VRAM) with Transformers/vLLM support and explicit “reasoning on/off” modes (chat-first defaults, greedy recommended when disabled). Suitable for building agents, assistants, and long-context retrieval systems where balanced accuracy-to-cost and reliable tool use matter.
NVIDIA: Llama 3.3 Nemotron Super 49B V1.5 Overview
| Full Name | NVIDIA: Llama 3.3 Nemotron Super 49B V1.5 |
| Provider | NVIDIA |
| Model ID | nvidia/llama-3.3-nemotron-super-49b-v1.5 |
| Release Date | Oct 10, 2025 |
| Context Window | 131,072 tokens |
| Pricing /1M tokens | $0 for input $0 for output |
| Supported Input Types | text |
| Supported Parameters | frequency_penaltyinclude_reasoningmax_tokensmin_ppresence_penaltyreasoningrepetition_penaltyresponse_formatseedstoptemperaturetool_choicetoolstop_ktop_p |
Complete Setup Guide
Create OpenRouter Account
- Visit openrouter.ai
- Click "Sign In" and create an account (free)
- Verify your email address
- You'll receive $1 in free credits to test models
Get Your OpenRouter API Key
- Log in to OpenRouter dashboard
- Go to "API Keys" section in the menu
- Click "Create API Key"
- Give it a name (e.g., "TypingMind")
- Copy your API key (starts with "sk-or-v1-...")
Add Credits to OpenRouter (Optional)
- Go to "Credits" in OpenRouter dashboard
- Click "Add Credits"
- Choose amount ($5 minimum, $20 recommended for testing)
- Complete payment (credit card or crypto)
- Credits never expire!
Configure TypingMind with OpenRouter API Key
Method 1: Direct Import (Recommended)
- Open TypingMind in your browser
- Click the "Settings" icon (gear symbol)
- Navigate to "Manage Models" section
- Click "Add Custom Model"
- Select "Import OpenRouter" from the options
- Enter your OpenRouter API key from Step 1
- Click "Check API Key" to verify the connection
- Choose which models you want to add from the list (you can add multiple at once)
- Click "Import Models" to complete the setup
Method 2: Manual Custom Model Setup
- Open TypingMind in your browser
- Click the "Settings" icon (gear symbol)
- Navigate to "Models" section
- Click "Add Custom Model"
- Fill in the model information:Name:
nvidia/llama-3.3-nemotron-super-49b-v1.5 via OpenRouter(or your preferred name)Endpoint:https://openrouter.ai/api/v1/chat/completionsModel ID:nvidia/llama-3.3-nemotron-super-49b-v1.5Context Length: Enter the model's context window (e.g., 131072 for nvidia/llama-3.3-nemotron-super-49b-v1.5)
nvidia/llama-3.3-nemotron-super-49b-v1.5https://openrouter.ai/api/v1/chat/completionsnvidia/llama-3.3-nemotron-super-49b-v1.5 via OpenRouterhttps://www.typingmind.com/model-logo.webp131072 - Add custom headers by clicking "Add Custom Headers" in the Advanced Settings section:Authorization:
Bearer <OPENROUTER_API_KEY>:X-Title:typingmind.comHTTP-Referer:https://www.typingmind.com - Enable "Support Plugins (via OpenAI Functions)" if the model supports the "functions" or "tool_calls" parameter, or enable "Support OpenAI Vision" if the model supports vision.
- Click "Test" to verify the configuration
- If you see "Nice, the endpoint is working!", click "Add Model"
Start chatting with nvidia/llama-3.3-nemotron-super-49b-v1.5
Now you can start chatting with the nvidia/llama-3.3-nemotron-super-49b-v1.5 model via OpenRouter on TypingMind:
- Select your preferred nvidia/llama-3.3-nemotron-super-49b-v1.5 model from the model dropdown menu
- Start typing your message in the chat input
- Enjoy faster responses and better features than the official interface
- Switch between different AI models as needed
nvidia/llama-3.3-nemotron-super-49b-v1.5Pro tips for better results:
- Use specific, detailed prompts for better responses (How to use Prompt Library)
- Create AI agents with custom instructions for repeated tasks (How to create AI Agents)
- Use plugins to extend nvidia/llama-3.3-nemotron-super-49b-v1.5 capabilities (How to use plugins)
- Upload documents and images directly to chat for AI analysis and discussion (Chat with documents)
Why TypingMind + OpenRouter?
- Best-in-class UI: TypingMind's interface is far superior to standard chat UIs
- Model flexibility: Switch between NVIDIA: Llama 3.3 Nemotron Super 49B V1.5 and 200+ models instantly
- Cost control: Pay only for what you use through OpenRouter
- One-time purchase: Buy TypingMind once, use forever with any OpenRouter model
- Data privacy: Your conversations stored locally, not on external servers
Frequently Asked Questions
Do I need a subscription to use NVIDIA: Llama 3.3 Nemotron Super 49B V1.5?
No! Through OpenRouter, you pay only for what you use with no monthly subscription. Add credits to your OpenRouter account and they never expire. TypingMind is also a one-time purchase, not a subscription.
How much will it cost to use NVIDIA: Llama 3.3 Nemotron Super 49B V1.5?
It costs 0.00009999999999999999 for input and 0.00039999999999999996 for output via OpenRouter. A typical conversation might cost $0.01-0.10 depending on length. Start with $5-10 in credits to test.
Can I use other models besides NVIDIA: Llama 3.3 Nemotron Super 49B V1.5?
Yes! With OpenRouter + TypingMind, you get access to 200+ models including GPT-4, Claude, Gemini, Llama, Mistral, and many more. Switch between them instantly in TypingMind.
Is my data private and secure?
Yes! TypingMind stores conversations locally (web version in browser, desktop version on your device). OpenRouter handles API calls securely and doesn't train on your data. Check each provider's data policy for specifics.
Can I use NVIDIA: Llama 3.3 Nemotron Super 49B V1.5 for commercial projects?
Yes! Check NVIDIA's terms of service for specific commercial use policies. OpenRouter and TypingMind both support commercial use.
What if NVIDIA: Llama 3.3 Nemotron Super 49B V1.5 is unavailable?
OpenRouter allows you to configure fallback models. If NVIDIA: Llama 3.3 Nemotron Super 49B V1.5 is down, it can automatically route to your backup choice. You can also manually switch models in TypingMind anytime.
How do I cancel or get a refund?
OpenRouter: No subscriptions to cancel. Unused credits remain in your account forever.
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