AI model comparison
GPT-4.1 Nano vs Nova Lite 1.0
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
Amazon
Nova Lite 1.0
Amazon Nova Lite 1.0 is a very low-cost multimodal model from Amazon that focused on fast processing of image, video, and text inputs to generate text output.
- Input / 1M
- $0.06
- Output / 1M
- $0.24
- Context
- 300K
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
Nova Lite 1.0
1.7x cheaper for a typical chat
Higher intelligence score
GPT-4.1 Nano
7.8 vs 6.7 on Artificial Analysis
Larger context window
GPT-4.1 Nano
1.05M vs 300K tokens
Newer release
GPT-4.1 Nano
Released April 14, 2025
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
Coding index
Agentic index
Pricing
GPT-4.1 Nano vs Nova Lite 1.0 API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | ||
|---|---|---|
| Input tokensPer 1M tokens | $0.10 | $0.06 |
| Output tokensPer 1M tokens | $0.40 | $0.24 |
| 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
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 | 1.05M tokens | 300K tokens |
| Max output | 33K tokens | 5K 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 | December 5, 2024 |
Features
Supported features
API features available for each model.
| Metric | ||
|---|---|---|
| Tool calling | Supported | Supported |
| Structured outputs | Supported | Not supported |
| JSON mode | Supported | Not supported |
| Reasoning | Not supported | Not supported |
| Temperature | Supported | Supported |
| Stop sequences | Not supported | Supported |
| Deterministic seed | Supported | Not supported |
| Verbosity control | Not supported | Not supported |
Our take
Nova Lite 1.0 is 1.7x cheaper for a typical chat. GPT-4.1 Nano scores higher on the Artificial Analysis Intelligence Index (7.8 vs 6.7). GPT-4.1 Nano has the larger context window (1.05M vs 300K 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 Nova Lite 1.0 cheaper?
Nova Lite 1.0 is cheaper for a typical chat (2K input tokens and 500 output tokens). Nova Lite 1.0 costs $0.06 per 1M input tokens and $0.24 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 Nova Lite 1.0?
GPT-4.1 Nano supports up to 1.05M tokens of context, compared with 300K for Nova Lite 1.0.
Is GPT-4.1 Nano smarter than Nova Lite 1.0?
On the Artificial Analysis Intelligence Index, GPT-4.1 Nano scores 7.8 and Nova Lite 1.0 scores 6.7, 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 Nova Lite 1.0 at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see GPT-4.1 Nano and Nova Lite 1.0 answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to GPT-4.1 Nano and Nova Lite 1.0 at the same time. Compare the answers side by side and keep the best one.