+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Grok-2 vs Qwen2.5 32B Instruct
Comprehensive side-by-side LLM comparison
Qwen2.5 32B Instruct leads with 34.5% higher average benchmark score. Grok-2 supports multimodal inputs. Overall, Qwen2.5 32B Instruct is the stronger choice for coding tasks.
+
+
+
+
xAI
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.
+
+
+
+
Alibaba Cloud / Qwen Team
Qwen2.5 32B Instruct is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 74.3% across 18 benchmarks. It excels particularly in GSM8k (95.9%), HumanEval (88.4%), HellaSwag (85.2%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
1 month newer
Grok-2
xAI
2024-08-13
Qwen2.5 32B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
Performance Metrics
Context window and performance specifications
Average performance across 21 common benchmarks
+
+
+
+
Grok-2
Average Score:29.2%
+
+
+
+
Qwen2.5 32B Instruct
Average Score:63.7%(+34.5%)
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
Grok-2
1 providers
xAI
Throughput: 85 tok/s
Latency: 0.7ms
+
+
+
+
Qwen2.5 32B Instruct
+
+
+
+
Grok-2
Avg Score:29.2%
Providers:1
+
+
+
+
Qwen2.5 32B Instruct
Avg Score:63.7%(+34.5%)
Providers:0