AI model comparison
Nemotron 3 Nano 30B A3B vs Llama 4 Scout
Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.
NVIDIA
Nemotron 3 Nano 30B A3B
NVIDIA Nemotron 3 Nano 30B A3B is a small language MoE model with highest compute efficiency and accuracy for developers to build specialized agentic AI systems.
- Input / 1M
- $0.06
- Output / 1M
- $0.24
- Context
- 262K
Meta
Llama 4 Scout
Llama 4 Scout 17B Instruct (16E) is a mixture-of-experts (MoE) language model developed by Meta, activating 17 billion parameters out of a total of 109B.
- Input / 1M
- $0.10
- Output / 1M
- $0.30
- Context
- 1.31M
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
Nemotron 3 Nano 30B A3B
1.5x cheaper for a typical chat
Higher intelligence score
Nemotron 3 Nano 30B A3B
8.9 vs 8.1 on Artificial Analysis
Larger context window
Llama 4 Scout
1.31M vs 262K tokens
Newer release
Nemotron 3 Nano 30B A3B
Released December 14, 2025
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
Coding index
Agentic index
Pricing
Nemotron 3 Nano 30B A3B vs Llama 4 Scout API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | ||
|---|---|---|
| Input tokensPer 1M tokens | $0.06 | $0.10 |
| Output tokensPer 1M tokens | $0.24 | $0.30 |
| Cached input (read)Per 1M tokens | Not available | Not available |
| Cache writePer 1M tokens | Not available | Not available |
What it costs in practice
Estimated cost per 1,000 requests at standard rates. Coding and long-document figures also show the cost when the input is already cached.
Chat message
2K in, 500 out
Coding task
30K in, 4K out
Long document summary
150K in, 2K out
Specs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | ||
|---|---|---|
| Context window | 262K tokens | 1.31M tokens |
| Max output | 236K tokens | 16K tokens |
| Input types | Text | Image, Text |
| Output types | Text | Text |
| Reasoning effort levels | Not available | Not available |
| Default reasoning effort | Not available | Not available |
| Release date | December 14, 2025 | April 5, 2025 |
Features
Supported features
API features available for each model.
| Metric | ||
|---|---|---|
| Tool calling | Supported | Supported |
| Structured outputs | Supported | Supported |
| JSON mode | Supported | Supported |
| Reasoning | Supported | Not supported |
| Temperature | Supported | Supported |
| Stop sequences | Supported | Supported |
| Deterministic seed | Supported | Supported |
| Verbosity control | Not supported | Not supported |
Keep exploring
More on these models
Other head-to-heads, the full model page, and the alternatives list for each model.
- Nemotron 3 Nano 30B A3B vs Gemini 2.5 Flash Lite
- Nemotron 3 Nano 30B A3B vs gpt-oss-120b
- Nemotron 3 Nano 30B A3B vs Nemotron 3.5 Lightning
- Nemotron 3 Nano 30B A3B vs Nemotron 3 Super
- Nemotron 3 Nano 30B A3B vs Qwen3 30B A3B Instruct 2507
- Nemotron 3 Nano 30B A3B vs Granite 4.2 8B
- Nemotron 3 Nano 30B A3B vs Qwen3 Coder 30B A3B Instruct
- Nemotron 3 Nano 30B A3B vs GPT-4.1 Nano
- Nemotron 3 Nano 30B A3B vs Qwen3 32B
- Nemotron 3 Nano 30B A3B vs Qwen3 14B
- Nemotron 3 Nano 30B A3B vs Nova Lite 1.0
- Llama 4 Scout vs Gemini 2.5 Flash Lite
- Llama 4 Scout vs Llama 3.1 8B Instruct
- Llama 4 Scout vs Qwen3 30B A3B Instruct 2507
- Llama 4 Scout vs Llama 3.3 70B Instruct
- Llama 4 Scout vs GPT-4.1 Nano
- Llama 4 Scout vs Llama 4 Maverick
- Llama 4 Scout vs Qwen3 32B
- Llama 4 Scout vs Qwen3 14B
- Llama 4 Scout vs Qwen2.5 72B Instruct
- Llama 4 Scout vs Nova Lite 1.0
- Llama 4 Scout vs Llama 3.1 70B Instruct
- Llama 4 Scout vs Llama 3.2 3B Instruct
- Llama 4 Scout vs Llama 3.2 1B Instruct
Our take
Nemotron 3 Nano 30B A3B is 1.5x cheaper for a typical chat. Nemotron 3 Nano 30B A3B scores higher on the Artificial Analysis Intelligence Index (8.9 vs 8.1). Llama 4 Scout has the larger context window (1.31M vs 262K tokens). The right pick depends on your workload, so the quickest way to settle it is to send the same prompt to both and compare.
FAQ
Frequently asked questions
Is Nemotron 3 Nano 30B A3B or Llama 4 Scout cheaper?
Nemotron 3 Nano 30B A3B is cheaper for a typical chat (2K input tokens and 500 output tokens). Nemotron 3 Nano 30B A3B costs $0.06 per 1M input tokens and $0.24 per 1M output tokens, while Llama 4 Scout costs $0.10 per 1M input tokens and $0.30 per 1M output tokens.
Which has a bigger context window, Nemotron 3 Nano 30B A3B or Llama 4 Scout?
Llama 4 Scout supports up to 1.31M tokens of context, compared with 262K for Nemotron 3 Nano 30B A3B.
Is Nemotron 3 Nano 30B A3B smarter than Llama 4 Scout?
On the Artificial Analysis Intelligence Index, Nemotron 3 Nano 30B A3B scores 8.9 and Llama 4 Scout scores 8.1, putting Nemotron 3 Nano 30B A3B ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use Nemotron 3 Nano 30B A3B and Llama 4 Scout at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see Nemotron 3 Nano 30B A3B and Llama 4 Scout answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to Nemotron 3 Nano 30B A3B and Llama 4 Scout at the same time. Compare the answers side by side and keep the best one.