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Grok-3 vs QwQ-32B
Comprehensive side-by-side LLM comparison
QwQ-32B leads with 10.4% higher average benchmark score. Grok-3 supports multimodal inputs. Overall, QwQ-32B is the stronger choice for coding tasks.
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xAI
Grok-3 is a multimodal language model developed by xAI. This model demonstrates exceptional performance with an average score of 85.7% across 5 benchmarks. It excels particularly in AIME 2025 (93.3%), AIME 2024 (93.3%), GPQA (84.6%). 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 2025, it represents xAI's latest advancement in AI technology.
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Alibaba Cloud / Qwen Team
QwQ-32B is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 74.6% across 7 benchmarks. It excels particularly in MATH-500 (90.6%), IFEval (83.9%), AIME 2024 (79.5%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
16 days newer
Grok-3
xAI
2025-02-17
QwQ-32B
Alibaba Cloud / Qwen Team
2025-03-05
Performance Metrics
Context window and performance specifications
Average performance across 9 common benchmarks
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Grok-3
Average Score:47.6%
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QwQ-32B
Average Score:58.0%(+10.4%)
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Knowledge Cutoff
Training data recency comparison
Grok-3
2024-11-17
QwQ-32B
2024-11-28
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Grok-3
1 providers
xAI
Throughput: 100 tok/s
Latency: 0.7ms
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QwQ-32B
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Grok-3
Avg Score:47.6%
Providers:1
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QwQ-32B
Avg Score:58.0%(+10.4%)
Providers:0