AI model comparison
Nova Premier 1.0 vs GPT-4
Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.
Amazon
Nova Premier 1.0
Amazon Nova Premier is the most capable of Amazon’s multimodal models for complex reasoning tasks and for use as the best teacher for distilling custom models.
- Input / 1M
- $2.50
- Output / 1M
- $12.50
- Context
- 1M
OpenAI
GPT-4
OpenAI's flagship model, GPT-4 is a large-scale multimodal language model capable of solving difficult problems with greater accuracy than previous models due to its broader general knowledge and advanced reasoning
- Input / 1M
- $30
- Output / 1M
- $60
- Context
- 8K
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
Nova Premier 1.0
8.0x cheaper for a typical chat
Higher intelligence score
Nova Premier 1.0
9.2 vs 6.7 on Artificial Analysis
Larger context window
Nova Premier 1.0
1M vs 8K tokens
Newer release
Nova Premier 1.0
Released October 31, 2025
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
Coding index
Agentic index
Pricing
Nova Premier 1.0 vs GPT-4 API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | ||
|---|---|---|
| Input tokensPer 1M tokens | $2.50 | $30 |
| Output tokensPer 1M tokens | $12.50 | $60 |
| Cached input (read)Per 1M tokens | $0.63 | 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 | 1M tokens | 8K tokens |
| Max output | 32K tokens | 4K tokens |
| Input types | Image, Text | Text |
| Output types | Text | Text |
| Reasoning effort levels | Not available | Not available |
| Default reasoning effort | Not available | Not available |
| Release date | October 31, 2025 | May 28, 2023 |
Features
Supported features
API features available for each model.
| Metric | ||
|---|---|---|
| Tool calling | Supported | Supported |
| Structured outputs | Not supported | Supported |
| JSON mode | Not supported | Supported |
| Reasoning | Not supported | Not supported |
| Temperature | Supported | Supported |
| Stop sequences | Supported | Supported |
| Deterministic seed | Not supported | Supported |
| Verbosity control | Not supported | Not supported |
Our take
Nova Premier 1.0 is 8.0x cheaper for a typical chat. Nova Premier 1.0 scores higher on the Artificial Analysis Intelligence Index (9.2 vs 6.7). Nova Premier 1.0 has the larger context window (1M vs 8K 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 Nova Premier 1.0 or GPT-4 cheaper?
Nova Premier 1.0 is cheaper for a typical chat (2K input tokens and 500 output tokens). Nova Premier 1.0 costs $2.50 per 1M input tokens and $12.50 per 1M output tokens, while GPT-4 costs $30 per 1M input tokens and $60 per 1M output tokens.
Which has a bigger context window, Nova Premier 1.0 or GPT-4?
Nova Premier 1.0 supports up to 1M tokens of context, compared with 8K for GPT-4.
Is Nova Premier 1.0 smarter than GPT-4?
On the Artificial Analysis Intelligence Index, Nova Premier 1.0 scores 9.2 and GPT-4 scores 6.7, putting Nova Premier 1.0 ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use Nova Premier 1.0 and GPT-4 at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see Nova Premier 1.0 and GPT-4 answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to Nova Premier 1.0 and GPT-4 at the same time. Compare the answers side by side and keep the best one.