Grok-2
Multimodal
Zero-eval
by xAI
+
+
+
+
About
Grok-2 is a multimodal language model developed by xAI. It achieves strong performance with an average score of 76.5% across 8 benchmarks. It excels particularly in DocVQA (93.6%), HumanEval (88.4%), MMLU (87.5%). It supports a 136K 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 xAI's latest advancement in AI technology.
+
+
+
+
Pricing Range
Input (per 1M)$2.00 -$2.00
Output (per 1M)$10.00 -$10.00
Providers1
+
+
+
+
Timeline
AnnouncedAug 13, 2024
ReleasedAug 13, 2024
+
+
+
+
Specifications
Capabilities
Multimodal
+
+
+
+
License & Family
License
Proprietary
Performance Overview
Performance metrics and category breakdown
Overall Performance
8 benchmarks
Average Score
76.5%
Best Score
93.6%
High Performers (80%+)
3Performance Metrics
Max Context Window
136.0KAvg Throughput
85.0 tok/sAvg Latency
1ms+
+
+
+
All Benchmark Results for Grok-2
Complete list of benchmark scores with detailed information
| DocVQA | multimodal | 0.94 | 93.6% | Self-reported | |
| HumanEval | text | 0.88 | 88.4% | Self-reported | |
| MMLU | text | 0.88 | 87.5% | Self-reported | |
| MATH | text | 0.76 | 76.1% | Self-reported | |
| MMLU-Pro | text | 0.76 | 75.5% | Self-reported | |
| MathVista | multimodal | 0.69 | 69.0% | Self-reported | |
| MMMU | multimodal | 0.66 | 66.1% | Self-reported | |
| GPQA | text | 0.56 | 56.0% | Self-reported |