o1-preview
Zero-eval
#3MMLU
by OpenAI
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About
o1-preview is a language model developed by OpenAI. It achieves strong performance with an average score of 64.8% across 8 benchmarks. It excels particularly in MGSM (90.8%), MMLU (90.8%), MATH (85.5%). It supports a 161K token context window for handling large documents. The model is available through 2 API providers. Released in 2024, it represents OpenAI's latest advancement in AI technology.
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Pricing Range
Input (per 1M)$15.00 -$16.50
Output (per 1M)$60.00 -$66.00
Providers2
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Timeline
AnnouncedSep 12, 2024
ReleasedSep 12, 2024
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License & Family
License
Proprietary
Performance Overview
Performance metrics and category breakdown
Overall Performance
8 benchmarks
Average Score
64.8%
Best Score
90.8%
High Performers (80%+)
3Performance Metrics
Max Context Window
160.8KAvg Throughput
41.0 tok/sAvg Latency
8ms+
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All Benchmark Results for o1-preview
Complete list of benchmark scores with detailed information
| MGSM | text | 0.91 | 90.8% | Self-reported | |
| MMLU | text | 0.91 | 90.8% | Self-reported | |
| MATH | text | 0.85 | 85.5% | Self-reported | |
| GPQA | text | 0.73 | 73.3% | Self-reported | |
| LiveBench | text | 0.52 | 52.3% | Self-reported | |
| SimpleQA | text | 0.42 | 42.4% | Self-reported | |
| AIME 2024 | text | 0.42 | 42.0% | Self-reported | |
| SWE-Bench Verified | text | 0.41 | 41.3% | Self-reported |