Quality
#38/670
Overall quality score
🇺🇸AmazonClosed sourceAmazon: Nova Lite 1.0.
See how Amazon: Nova Lite 1.0 compares with other broadly useful AI models across quality, speed, price, context, and practical capabilities.
Speed
#30/6780 t/s
Output tokens per second
Input price
#7/67$0.06/1M
Per 1M tokens
Output price
#12/67$0.24/1M
Per 1M tokens
Context
#31/67300K
Content read at once
Comparison summary
Amazon: Nova Lite 1.0 ranks #38 of 67 for overall quality and #30 for response speed in the current catalogue.
Its listed input price is $0.06/1M, output price is $0.24/1M, and it can work with up to 300K of context at once.
Its strongest areas in the current data are everyday help, coding, complex tasks.
Practical specifications
- Company
- Amazon
- Reasoning
- No
- Open weights
- No
- Input
- Text, Image
- Output
- Text
- Context window
- 300K
Amazon: Nova Lite 1.0 technical benchmarks.
Named evaluation records for technical comparison. Results retain their original benchmark names and sources.
| Benchmark | Area | Nova Lite 1.0 | Source |
|---|---|---|---|
| GPQA | GPQA Diamond | 43.3 | OpenRouter model benchmarks |
| Humanity's Last Exam | HLE | 4.6 | OpenRouter model benchmarks |
| IFBench | IFBench | 34.1 | OpenRouter model benchmarks |
| τ²-Bench Telecom | τ²-Bench Telecom | 17.5 | OpenRouter model benchmarks |
| AA-LCR | AA-LCR | 17.7 | OpenRouter model benchmarks |
| CritPt | CritPt | 0 | OpenRouter model benchmarks |
| SciCode | SciCode | 13.9 | OpenRouter model benchmarks |
| Terminal-Bench Hard | Terminal-Bench Hard | 0.8 | OpenRouter model benchmarks |
| AA-Omniscience Accuracy | AA-Omniscience Accuracy | 9.7 | OpenRouter model benchmarks |
| AA-Omniscience Non-Hallucination Rate | AA-Omniscience Non-Hallucination Rate | 44.4 | OpenRouter model benchmarks |
Quality benchmarks
See where Amazon: Nova Lite 1.0 stands.
The darker bar marks Amazon: Nova Lite 1.0; the lighter bars provide context from other leading models.
Highlights
Quality
Overall capability · Higher is better
Speed
Output tokens per second · Higher is better
Input price
USD per 1M tokens · Lower is better