Comprehensive side-by-side LLM comparison
Grok-2 leads with 32.4% higher average benchmark score. Grok-2 offers 70.5K more tokens in context window than QwQ-32B-Preview. QwQ-32B-Preview is $11.65 cheaper per million tokens. Grok-2 supports multimodal inputs. QwQ-32B-Preview is available on 4 providers. Overall, Grok-2 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
QwQ-32B-Preview is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 64.0% across 4 benchmarks. It excels particularly in MATH-500 (90.6%), GPQA (65.2%), AIME 2024 (50.0%). The model is available through 4 API providers. 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.
3 months newer
Grok-2
xAI
2024-08-13
QwQ-32B-Preview
Alibaba Cloud / Qwen Team
2024-11-28
Cost per million tokens (USD)
Grok-2
QwQ-32B-Preview
Context window and performance specifications
Average performance across 11 common benchmarks
Grok-2
QwQ-32B-Preview
QwQ-32B-Preview
2024-11-28
Available providers and their performance metrics
Grok-2
xAI
QwQ-32B-Preview
Grok-2
QwQ-32B-Preview
Grok-2
QwQ-32B-Preview
DeepInfra
Fireworks
Hyperbolic
Together