AI model comparison
GPT-4.1 Nano vs Llama 3.2 3B Instruct
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
Llama 3.2 3B is a 3-billion-parameter multilingual large language model, optimized for advanced natural language processing tasks like dialogue generation, reasoning, and summarization.
- Input / 1M
- $0.05
- Output / 1M
- $0.33
- Context
- 131K
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
Llama 3.2 3B Instruct
1.5x cheaper for a typical chat
Higher intelligence score
GPT-4.1 Nano
7.8 vs 5.7 on Artificial Analysis
Larger context window
GPT-4.1 Nano
1.05M vs 131K 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 3.2 3B Instruct API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | GPT-4.1 Nano | |
|---|---|---|
| Input tokensPer 1M tokens | $0.10 | $0.05 |
| Output tokensPer 1M tokens | $0.40 | $0.33 |
| 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 | 131K tokens |
| Max output | 33K tokens | 118K tokens |
| Input types | File, Image, Text | Text |
| Output types | Text | Text |
| Reasoning effort levels | Not available | Not available |
| Default reasoning effort | Not available | Not available |
| Release date | April 14, 2025 | September 25, 2024 |
Features
Supported features
API features available for each model.
| Metric | GPT-4.1 Nano | |
|---|---|---|
| Tool calling | Supported | Not supported |
| Structured outputs | Supported | Supported |
| JSON mode | Supported | Not 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 Llama 4 Scout
- 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 GPT-3.5 Turbo
- Llama 3.2 3B Instruct vs GPT-4o-mini
- Llama 3.2 3B Instruct vs Llama 4 Scout
- Llama 3.2 3B Instruct vs Gemma 3 27B
- Llama 3.2 3B Instruct vs Llama 3.3 70B Instruct
- Llama 3.2 3B Instruct vs Qwen3 30B A3B Instruct 2507
- Llama 3.2 3B Instruct vs Llama 3.1 8B Instruct
- Llama 3.2 3B Instruct vs Llama 3.1 70B Instruct
- Llama 3.2 3B Instruct vs Ministral 3 14B 2512
- Llama 3.2 3B Instruct vs Llama 3.2 1B Instruct
Our take
Llama 3.2 3B Instruct is 1.5x cheaper for a typical chat. GPT-4.1 Nano scores higher on the Artificial Analysis Intelligence Index (7.8 vs 5.7). GPT-4.1 Nano has the larger context window (1.05M vs 131K 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 3.2 3B Instruct cheaper?
Llama 3.2 3B Instruct is cheaper for a typical chat (2K input tokens and 500 output tokens). Llama 3.2 3B Instruct costs $0.05 per 1M input tokens and $0.33 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 3.2 3B Instruct?
GPT-4.1 Nano supports up to 1.05M tokens of context, compared with 131K for Llama 3.2 3B Instruct.
Is GPT-4.1 Nano smarter than Llama 3.2 3B Instruct?
On the Artificial Analysis Intelligence Index, GPT-4.1 Nano scores 7.8 and Llama 3.2 3B Instruct scores 5.7, putting GPT-4.1 Nano 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 3.2 3B Instruct 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 3.2 3B Instruct answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to GPT-4.1 Nano and Llama 3.2 3B Instruct at the same time. Compare the answers side by side and keep the best one.