AI model comparison
GPT-4.1 Nano vs Llama 4 Scout
Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.
OpenAI
GPT-4.1 Nano
For tasks that demand low latency, GPT‑4.1 nano is the fastest and cheapest model in the GPT-4.1 series.
- Input / 1M
- $0.10
- Output / 1M
- $0.40
- Context
- 1.05M
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
Llama 4 Scout
1.1x cheaper for a typical chat
Higher intelligence score
Llama 4 Scout
8.1 vs 7.8 on Artificial Analysis
Larger context window
Llama 4 Scout
1.31M vs 1.05M tokens
Newer release
GPT-4.1 Nano
Released April 14, 2025
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
GPT-4.1 Nano7.8Coding index
GPT-4.1 Nano11.1Agentic index
GPT-4.1 NanoNot availablePricing
GPT-4.1 Nano vs Llama 4 Scout API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | GPT-4.1 Nano | |
|---|---|---|
| Input tokensPer 1M tokens | $0.10 | $0.10 |
| Output tokensPer 1M tokens | $0.40 | $0.30 |
| Cached input (read)Per 1M tokens | $0.03 | Not available |
| Cache writePer 1M tokens | Not available | Not available |
| Web searchPer request | $0.01 | 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
GPT-4.1 Nano$0.40Coding task
30K in, 4K out
GPT-4.1 Nano$4.60$2.35 cachedLong document summary
150K in, 2K out
GPT-4.1 Nano$15.80$4.55 cachedSpecs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | GPT-4.1 Nano | |
|---|---|---|
| Context window | 1.05M tokens | 1.31M tokens |
| Max output | 33K tokens | 16K tokens |
| Input types | File, Image, Text | Image, Text |
| Output types | Text | Text |
| Reasoning effort levels | Not available | Not available |
| Default reasoning effort | Not available | Not available |
| Release date | April 14, 2025 | April 5, 2025 |
Features
Supported features
API features available for each model.
| Metric | GPT-4.1 Nano | |
|---|---|---|
| Tool calling | Supported | Supported |
| Structured outputs | Supported | Supported |
| JSON mode | Supported | Supported |
| Reasoning | Not supported | Not supported |
| Temperature | Supported | Supported |
| Stop sequences | Not 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.
GPT-4.1 NanoView full model details- GPT-4.1 Nano vs Gemini 2.5 Flash Lite
- GPT-4.1 Nano vs GPT-6 Luna Pro
- GPT-4.1 Nano vs gpt-oss-120b
- GPT-4.1 Nano vs gpt-oss-20b
- GPT-4.1 Nano vs GPT-4o-mini
- GPT-4.1 Nano vs GPT-5 Nano
- GPT-4.1 Nano vs Gemma 3 27B
- GPT-4.1 Nano vs Qwen3 30B A3B Instruct 2507
- GPT-4.1 Nano vs Llama 3.3 70B Instruct
- GPT-4.1 Nano vs Qwen3 VL 30B A3B Instruct
- GPT-4.1 Nano vs Nemotron 3 Nano 30B A3B
- GPT-4.1 Nano vs Qwen2.5 72B Instruct
- GPT-4.1 Nano vs Solar Pro 3
- GPT-4.1 Nano vs Qwen3 30B A3B
- GPT-4.1 Nano vs Nova Lite 1.0
- GPT-4.1 Nano vs Llama 3.1 70B Instruct
- GPT-4.1 Nano vs Llama 3.2 3B Instruct
- GPT-4.1 Nano vs GPT-3.5 Turbo
- 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 Llama 4 Maverick
- Llama 4 Scout vs Qwen3 32B
- Llama 4 Scout vs Nemotron 3 Nano 30B A3B
- 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
Llama 4 Scout is 1.1x cheaper for a typical chat. Llama 4 Scout scores higher on the Artificial Analysis Intelligence Index (8.1 vs 7.8). Llama 4 Scout has the larger context window (1.31M vs 1.05M 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 GPT-4.1 Nano or Llama 4 Scout cheaper?
Llama 4 Scout is cheaper for a typical chat (2K input tokens and 500 output tokens). Llama 4 Scout costs $0.10 per 1M input tokens and $0.30 per 1M output tokens, while GPT-4.1 Nano costs $0.10 per 1M input tokens and $0.40 per 1M output tokens.
Which has a bigger context window, GPT-4.1 Nano or Llama 4 Scout?
Llama 4 Scout supports up to 1.31M tokens of context, compared with 1.05M for GPT-4.1 Nano.
Is GPT-4.1 Nano smarter than Llama 4 Scout?
On the Artificial Analysis Intelligence Index, GPT-4.1 Nano scores 7.8 and Llama 4 Scout scores 8.1, putting Llama 4 Scout ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use GPT-4.1 Nano and Llama 4 Scout at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see GPT-4.1 Nano and Llama 4 Scout answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to GPT-4.1 Nano and Llama 4 Scout at the same time. Compare the answers side by side and keep the best one.