Jamba 1.5 Large
Zero-eval
#3Wild Bench
by AI21 Labs
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About
Jamba 1.5 Large is a language model developed by AI21 Labs. It achieves strong performance with an average score of 65.5% across 8 benchmarks. It excels particularly in ARC-C (93.0%), GSM8k (87.0%), MMLU (81.2%). It supports a 512K token context window for handling large documents. The model is available through 2 API providers. Released in 2024, it represents AI21 Labs's latest advancement in AI technology.
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Pricing Range
Input (per 1M)$2.00 -$2.00
Output (per 1M)$8.00 -$8.00
Providers2
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Timeline
AnnouncedAug 22, 2024
ReleasedAug 22, 2024
Knowledge CutoffMar 5, 2024
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License & Family
License
Jamba Open Model License
Performance Overview
Performance metrics and category breakdown
Overall Performance
8 benchmarks
Average Score
65.5%
Best Score
93.0%
High Performers (80%+)
3Performance Metrics
Max Context Window
512.0KAvg Throughput
71.0 tok/sAvg Latency
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All Benchmark Results for Jamba 1.5 Large
Complete list of benchmark scores with detailed information
| ARC-C | text | 0.93 | 93.0% | Self-reported | |
| GSM8k | text | 0.87 | 87.0% | Self-reported | |
| MMLU | text | 0.81 | 81.2% | Self-reported | |
| Arena Hard | text | 0.65 | 65.4% | Self-reported | |
| TruthfulQA | text | 0.58 | 58.3% | Self-reported | |
| MMLU-Pro | text | 0.54 | 53.5% | Self-reported | |
| Wild Bench | text | 0.48 | 48.5% | Self-reported | |
| GPQA | text | 0.37 | 36.9% | Self-reported |