Llama 3.2 90B Instruct
Multimodal
Zero-eval
#1InfographicsQA
#3VQAv2
by Meta
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About
Llama 3.2 90B was developed as a flagship-tier open-source model, designed to provide advanced capabilities with 90 billion parameters. Built to serve applications requiring high-quality reasoning and generation, it represents a powerful option within the Llama 3.2 series for demanding tasks.
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Pricing Range
Input (per 1M)$0.35 -$2.00
Output (per 1M)$0.40 -$2.00
Providers5
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Timeline
AnnouncedSep 25, 2024
ReleasedSep 25, 2024
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Specifications
Capabilities
Multimodal
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License & Family
License
Llama 3.2
Performance Overview
Performance metrics and category breakdown
Overall Performance
13 benchmarks
Average Score
71.3%
Best Score
92.3%
High Performers (80%+)
5Performance Metrics
Max Context Window
256.0KAvg Throughput
54.6 tok/sAvg Latency
1ms+
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All Benchmark Results for Llama 3.2 90B Instruct
Complete list of benchmark scores with detailed information
| AI2D | multimodal | 0.92 | 92.3% | Self-reported | |
| DocVQA | multimodal | 0.90 | 90.1% | Self-reported | |
| MGSM | text | 0.87 | 86.9% | Self-reported | |
| MMLU | text | 0.86 | 86.0% | Self-reported | |
| ChartQA | multimodal | 0.85 | 85.5% | Self-reported | |
| VQAv2 | multimodal | 0.78 | 78.1% | Self-reported | |
| TextVQA | multimodal | 0.73 | 73.5% | Self-reported | |
| MATH | text | 0.68 | 68.0% | Self-reported | |
| MMMU | multimodal | 0.60 | 60.3% | Self-reported | |
| MathVista | multimodal | 0.57 | 57.3% | Self-reported |
Showing 1 to 10 of 13 benchmarks
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