- Text Generation
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Nemotron 3 Super (free)
- Text Generation
Nemotron 3 Super (free) is NVIDIA’s open‑weights, high‑throughput 120B-parameter hybrid mixture‑of‑experts language model, optimized for complex agentic AI and multi‑agent reasoning workloads. It is notable for combining a hybrid Mamba‑Transformer architecture, LatentMoE sparsity, and a 1M‑token context window to deliver efficient long‑horizon reasoning.
Providers Comparison
Speed
Output tokens per second · Higher is better
L
LLM API
S
SiliconFlow (FP8)
G
GMI
C
CoreWeave
N
Novita
D
DeepSeek
P
Parasail (FP8)
D
DeepInfra (FP4)
End-to-End Response Time
Seconds · Lower is better
L
LLM API
S
SiliconFlow (FP8)
G
GMI
C
CoreWeave
N
Novita
D
DeepSeek
P
Parasail (FP8)
D
DeepInfra (FP4)
Price
USD per 1M tokens (blended) · Lower is better
L
LLM API
S
SiliconFlow (FP8)
G
GMI
C
CoreWeave
N
Novita
D
DeepSeek
P
Parasail (FP8)
D
DeepInfra (FP4)
About the model
What is Nemotron 3 Super (free)?
Nemotron 3 Super is an open, 120B-parameter hybrid Mamba-Transformer mixture-of-experts model from NVIDIA designed for high-accuracy, efficient agentic reasoning. It is mainly used to power multi-agent and enterprise AI workflows that require long-context reasoning, planning, and orchestration across many tools or services. It is also well-suited for code, math, and complex multistep generation tasks where high throughput and long sequences are important. It belongs to the Nemotron 3 family of open models (Nano, Super, Ultra), succeeding earlier Nemotron generations.
Model capabilities
5 Core Capabilities
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Agentic Reasoning
Supports multi‑agent, tool-using AI workflows, coordinating complex tasks with high throughput and long-horizon reasoning across agents.
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Long-Context Processing
Handles sequences up to around one million tokens, enabling analysis of large documents, codebases, and extended conversations without losing context.
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Multilingual Text
Generates and understands text in multiple languages, including English and Japanese, for global applications and cross-lingual workflows.
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General Chat
Engages in open-domain dialogue, following instructions, answering questions, and assisting with writing or brainstorming in natural language.
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Code and Data Text
Trained on diverse web, code, and technical data, enabling structured outputs, explanations, and reasoning over text-based information sources.
Use cases
6 Most Valuable Use Cases
- Code Generation Assistance
- Customer Support Chatbots
- Document Summarization
- Semantic Text Tagging
- Legal Case Research
- Regulatory Case Monitoring
Transparent pricing
Cost Comparison
LLM API offers the lowest cost and highest performance for Nemotron-class models.
| Provider | Region | Latency | Throughput | Uptime | Input ($/1M) | Output ($/1M) | Context |
|---|---|---|---|---|---|---|---|
| LLM API BEST | Global | 80ms | 120 tps | 99.99% | $0.10 | $0.10 | 128K tokens |
| NVIDIA | Global | ~180ms | ~60 tps | ~99.9% | $0.00 | $0.00 | ~128K tokens |
| AWS Bedrock | US East | ~220ms | ~45 tps | ~99.9% | ~$0.25 | ~$0.25 | ~128K tokens |
| Google Cloud | Global | ~210ms | ~50 tps | ~99.9% | ~$0.24 | ~$0.24 | ~128K tokens |
| Azure AI | EU West | ~230ms | ~40 tps | ~99.9% | ~$0.26 | ~$0.26 | ~128K tokens |
Performance benchmarks
Technical Specifications
| Metric | Nemotron 3 Super (free) | Llama 3 8B Instruct (free) | Mistral 7B Instruct (free) |
|---|---|---|---|
| Avg Latency | ~800ms | ~900ms | ~850ms |
| Context Window | 8K | 8K | 8K |
| Input Price ($/1M) | $0.00 | $0.00 | $0.00 |
| Output Price ($/1M) | $0.00 | $0.00 | $0.00 |
| Max Output Tokens | 2K | 2K | 2K |
| Throughput | ~30 tps | ~25 tps | ~25 tps |
| Uptime | 99.9% | 99.9% | 99.9% |
30-day usage via LLM API
- 9.8B
- Prompt tokens processed (last 30 days)
- 3.1B
- Completion tokens generated (last 30 days)
- 12.5M
- API requests served (last 30 days)
- 99.9%
- Average uptime (last 30 days)
Architecture & Integration
Why Build on LLM.API?
One unified API. Every major model. Built-in reliability, cost control, and observability.
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Unified AI Routing
Intelligently route each request across providers and models based on latency, capability, or custom rules. One API, always the best path for your workload.
Smart traffic, single endpoint -
Cost-Aware Orchestration
Automatically balance performance and price with configurable policies. Use premium models when it matters, fall back to cheaper ones when it doesn’t.
Optimize spend by default -
Resilient Fallbacks
Define multi-step failover chains across providers so requests keep flowing through outages, rate limits, or model errors—without touching your application code.
Stay online under stress -
Deep Observability
Get full visibility into requests, tokens, latency, errors, and providers with structured logs and traces. Debug faster and tune workloads with real data.
See every token spent -
Task-Level Abstractions
Describe tasks like chat, tools, reranking, or extraction once and run them on any model. Ship features without rewriting prompts per provider.
Code to tasks, not models -
High-Throughput Batch
Submit massive batch jobs through a single API with queuing, retries, and cost controls built-in. Process millions of inputs without custom infrastructure.
Scale jobs, not ops
Decision guide
When to Use — When NOT to Use
Use it if...
- You need a free, general-purpose model for everyday coding, writing, and Q&A.
- You need to prototype AI features without incurring usage costs during experimentation.
- Your use case involves moderate-length chats where perfect reasoning is not critical.
- Your use case involves simple code snippets, bug fixes, or small refactors.
- You need a baseline model to compare against stronger proprietary or paid systems.
- Your use case involves occasional content generation, summaries, and simple data extraction.
Avoid if...
- You need state-of-the-art reasoning quality for complex multi-step or high-stakes decisions.
- Your workload requires very long-context processing, such as full-book analysis or logs.
- You need top-tier code generation for large projects, architectures, or unfamiliar stacks.
- Your workload requires highly reliable factual answers on niche, technical, or evolving topics.
- You need best-in-class safety controls, compliance certifications, or robust content-filter customization.
- Your workload requires highly optimized latency and throughput for large-scale, performance-critical production.
FAQ
Frequently Asked Questions
-
What is Nemotron 3 Super (free)?
Nemotron 3 Super (free) is an NVIDIA large language model accessible via LLM.API, tuned for general-purpose text generation and assistant-style conversations.
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What is Nemotron 3 Super (free) best suited for?
It is best for fast, low-cost chat-style interactions, drafting content, and lightweight reasoning where cost and accessibility matter more than cutting-edge intelligence.
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How is Nemotron 3 Super (free) priced on LLM.API?
The free tier incurs no direct per-token charges to you, but may be subject to rate limits and usage caps enforced by LLM.API.
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What context window does Nemotron 3 Super (free) support?
Nemotron 3 Super (free) supports a context window of up to 8K tokens, including both prompt and response tokens.
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How fast is Nemotron 3 Super (free) in terms of latency?
Latency is typically low for short prompts, but can increase under heavy shared-load conditions because the free tier runs on pooled infrastructure.
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Which modalities does Nemotron 3 Super (free) support?
Nemotron 3 Super (free) supports text-in, text-out interactions only and does not natively process images, audio, or video.
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How do I call Nemotron 3 Super (free) through the LLM.API gateway?
You select the model by its identifier in the LLM.API completion or chat endpoint, passing your prompt and standard configuration parameters like temperature.
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How does Nemotron 3 Super (free) compare to larger NVIDIA or frontier models?
Compared to larger or paid frontier models, it is generally cheaper and more accessible but weaker on complex reasoning, coding, and long-context tasks.
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What are the main limitations of Nemotron 3 Super (free)?
It may hallucinate facts, struggle with very long or deeply technical tasks, and lacks multimodal capabilities and fine-grained enterprise controls.
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Can I use Nemotron 3 Super (free) for production workloads?
You can, but should account for potential rate limits, variable performance, and weaker reliability than dedicated, paid production-grade NVIDIA deployments.
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