Pixtral Large
Multimodal
Zero-eval
#1VQAv2
#1MM-MT-Bench
#3AI2D
by Mistral AI
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About
Pixtral Large is a multimodal language model developed by Mistral AI. This model demonstrates exceptional performance with an average score of 80.5% across 7 benchmarks. It excels particularly in AI2D (93.8%), DocVQA (93.3%), ChartQA (88.1%). It supports a 256K 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 Mistral AI's latest advancement in AI technology.
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Pricing Range
Input (per 1M)$2.00 -$2.00
Output (per 1M)$6.00 -$6.00
Providers1
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Timeline
AnnouncedNov 18, 2024
ReleasedNov 18, 2024
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Specifications
Capabilities
Multimodal
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License & Family
License
Mistral Research License (MRL) for research; Mistral Commercial License for commercial use
Base ModelMistral Large 2
Performance Overview
Performance metrics and category breakdown
Overall Performance
7 benchmarks
Average Score
80.5%
Best Score
93.8%
High Performers (80%+)
4Performance Metrics
Max Context Window
256.0KAvg Throughput
0.1 tok/sAvg Latency
1ms+
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All Benchmark Results for Pixtral Large
Complete list of benchmark scores with detailed information
| AI2D | multimodal | 0.94 | 93.8% | Self-reported | |
| DocVQA | multimodal | 0.93 | 93.3% | Self-reported | |
| ChartQA | multimodal | 0.88 | 88.1% | Self-reported | |
| VQAv2 | multimodal | 0.81 | 80.9% | Self-reported | |
| MM-MT-Bench | multimodal | 0.74 | 74.0% | Self-reported | |
| MathVista | multimodal | 0.69 | 69.4% | Self-reported | |
| MMMU | multimodal | 0.64 | 64.0% | Self-reported |