Nova Lite
Multimodal
Zero-eval
#1VATEX
#2Translation Set1→en COMET22
#2Translation en→Set1 COMET22
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by Amazon
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About
Nova Lite is a multimodal language model developed by Amazon. It achieves strong performance with an average score of 70.7% across 27 benchmarks. It excels particularly in GSM8k (94.5%), DocVQA (92.4%), ARC-C (92.4%). It supports a 302K token context window for handling large documents. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents Amazon's latest advancement in AI technology.
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Pricing Range
Input (per 1M)$0.06 -$0.06
Output (per 1M)$0.24 -$0.24
Providers1
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Timeline
AnnouncedNov 20, 2024
ReleasedNov 20, 2024
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Specifications
Capabilities
Multimodal
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License & Family
License
Proprietary
Performance Overview
Performance metrics and category breakdown
Overall Performance
27 benchmarks
Average Score
70.7%
Best Score
94.5%
High Performers (80%+)
13Performance Metrics
Max Context Window
302.0KAvg Throughput
100.0 tok/sAvg Latency
1ms+
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All Benchmark Results for Nova Lite
Complete list of benchmark scores with detailed information
| GSM8k | text | 0.94 | 94.5% | Self-reported | |
| DocVQA | multimodal | 0.92 | 92.4% | Self-reported | |
| ARC-C | text | 0.92 | 92.4% | Self-reported | |
| IFEval | text | 0.90 | 89.7% | Self-reported | |
| Translation Set1→en COMET22 | text | 0.89 | 88.8% | Self-reported | |
| Translation en→Set1 COMET22 | text | 0.89 | 88.8% | Self-reported | |
| ChartQA | multimodal | 0.87 | 86.8% | Self-reported | |
| HumanEval | text | 0.85 | 85.4% | Self-reported | |
| BBH | text | 0.82 | 82.4% | Self-reported | |
| MMLU | text | 0.81 | 80.5% | Self-reported |
Showing 1 to 10 of 27 benchmarks