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Grok-3 vs Qwen2.5 VL 32B Instruct
Comprehensive side-by-side LLM comparison
Qwen2.5 VL 32B Instruct leads with 43.6% higher average benchmark score. Overall, Qwen2.5 VL 32B Instruct 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
Qwen2.5 VL 32B Instruct is a multimodal language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 63.6% across 28 benchmarks. It excels particularly in DocVQA (94.8%), Android Control Low_EM (93.3%), HumanEval (91.5%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. 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.
11 days newer
Grok-3
xAI
2025-02-17
Qwen2.5 VL 32B Instruct
Alibaba Cloud / Qwen Team
2025-02-28
Performance Metrics
Context window and performance specifications
Average performance across 31 common benchmarks
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Grok-3
Average Score:13.8%
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Qwen2.5 VL 32B Instruct
Average Score:57.4%(+43.6%)
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Knowledge Cutoff
Training data recency comparison
Grok-3
2024-11-17
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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Qwen2.5 VL 32B Instruct
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Grok-3
Avg Score:13.8%
Providers:1
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Qwen2.5 VL 32B Instruct
Avg Score:57.4%(+43.6%)
Providers:0