NVIDIA API Pricing
AI infrastructure leader with optimized inference and specialized models
6 paid models · 3 free · Price range: $0.04 - $1.20 /1M
About NVIDIA
NVIDIA, the leader in AI hardware, also offers AI models optimized for their GPU infrastructure. Their Nemotron series and partnerships provide models fine-tuned for maximum performance on NVIDIA hardware. NVIDIA's NIM (NVIDIA Inference Microservices) enables efficient deployment.
Key Highlights
- Optimized for NVIDIA GPU infrastructure
- Nemotron series models
- NIM for efficient deployment
- Strong enterprise partnerships
- Hardware-software co-optimization
Pricing Features
- Pay-per-token billing
Available through NVIDIA AI Enterprise and cloud partners. Optimized inference reduces cost per token on NVIDIA hardware.
API Features
Common Use Cases
- • NVIDIA GPU Deployments
- • Enterprise AI
- • High-Performance Inference
- • On-Premise Solutions
📊 NVIDIA Model Comparison
Compare all models side by side. Sorted by total price (input + output).
| Model | Tier | Input /1M | Output /1M | Total /1M | Context | Best For |
|---|---|---|---|---|---|---|
| Nemotron Nano 9B V2 | Budget | $0.04 | $0.16 | $0.20 | 131k | Complex reasoning, math |
| Nemotron 3 Nano 30B A3B | Budget | $0.06 | $0.24 | $0.30 | 262k | Complex reasoning, math |
| Llama 3.3 Nemotron Super 49B V1.5 | Budget | $0.10 | $0.40 | $0.50 | 131k | Complex reasoning, math |
| Nemotron Nano 12B 2 VL | Balanced | $0.20 | $0.60 | $0.80 | 131k | Complex reasoning, math |
| Llama 3.1 Nemotron Ultra 253B v1 | Flagship | $0.60 | $1.80 | $2.40 | 131k | Complex reasoning, math |
| Llama 3.1 Nemotron 70B Instruct | Flagship | $1.20 | $1.20 | $2.40 | 131k | General tasks |
🎯 Which NVIDIA Model Should You Choose?
Quick recommendations based on your use case.
💰 NVIDIA Monthly Cost Examples
Estimated monthly costs for common use cases.
| Use Case | Monthly Usage | Nemotron Nano 9B V2 (Budget) |
|---|---|---|
|
Customer Service Bot
1000 conversations/day
|
500k input 200k output |
$0.05/mo |
|
Code Assistant
200 requests/day
|
1.0M input 500k output |
$0.12/mo |
|
Data Analysis
500 analyses/day
|
2.0M input 300k output |
$0.13/mo |
⚔️ NVIDIA vs Competitors
How does {brand} compare to other major AI providers?
| Brand | Model | Input /1M | Output /1M | Total /1M | Context | vs {brand} |
|---|---|---|---|---|---|---|
|
NVIDIA
|
Nemotron Nano 9B V2 Current | Free | Free | Free | 131k | — |
OpenAI
|
GPT-5.2 Chat | $1.75 | $14.00 | $15.75 | 128k | Infinity% more |
|
OpenAI
|
GPT-5.2 Pro | $21.00 | $168.00 | $189.00 | 400k | Infinity% more |
|
OpenAI
|
GPT-5.2 | $1.75 | $14.00 | $15.75 | 400k | Infinity% more |
|
OpenAI
|
GPT-5.1-Codex-Max | $1.25 | $10.00 | $11.25 | 400k | Infinity% more |
|
OpenAI
|
GPT-5.1 | $1.25 | $10.00 | $11.25 | 400k | Infinity% more |
|
OpenAI
|
GPT-5.1 Chat | $1.25 | $10.00 | $11.25 | 128k | Infinity% more |
All Models
| Model | Input /1M | Output /1M | Context | Capabilities | Actions | |
|---|---|---|---|---|---|---|
| Nemotron Nano 9B V2 | Free | Free | 131k | View Details | ||
| Nemotron Nano 12B 2 VL | Free | Free | 131k | View Details | ||
| Nemotron 3 Nano 30B A3B | Free | Free | 262k | View Details | ||
| Nemotron Nano 9B V2 Cheapest | $0.04 | $0.16 | 131k | View Details | ||
| Nemotron 3 Nano 30B A3B | $0.06 | $0.24 | 262k | View Details | ||
| Llama 3.3 Nemotron Super 49B V1.5 | $0.10 | $0.40 | 131k | View Details | ||
| Nemotron Nano 12B 2 VL | $0.20 | $0.60 | 131k | View Details | ||
| Llama 3.1 Nemotron Ultra 253B v1 | $0.60 | $1.80 | 131k | View Details | ||
| Llama 3.3 Nemotron Super 49B v1 FREE | Free | Free | 131k | View Details | ||
| Llama 3.1 Nemotron Nano 8B v1 FREE | Free | Free | 131k | View Details | ||
| Llama 3.1 Nemotron 70B Instruct | $1.20 | $1.20 | 131k | View Details | ||
| Nemotron-4 340B Instruct FREE | Free | Free | 4k | View Details |
❓ NVIDIA Pricing FAQ
What is the cheapest NVIDIA model?
The cheapest NVIDIA model is Nemotron Nano 9B V2 at $0.20 per 1M tokens (input + output combined).
What is the maximum context length for NVIDIA models?
NVIDIA models support up to 262k context length, allowing you to process large documents and maintain long conversations.
How do I choose between NVIDIA models?
For budget projects, choose the cheapest model. For code generation, prioritize low output price. For complex reasoning, choose models with reasoning capability. Use our scenario guide above.