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Kimi K2 0905 vs Qwen2.5 VL 32B Instruct
Comprehensive side-by-side LLM comparison
Qwen2.5 VL 32B Instruct leads with 44.0% higher average benchmark score. Qwen2.5 VL 32B Instruct supports multimodal inputs. Kimi K2 0905 is available on 2 providers. Overall, Qwen2.5 VL 32B Instruct is the stronger choice for coding tasks.
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Moonshot AI
Kimi K2 0905 is a language model developed by Moonshot AI. This model demonstrates exceptional performance with an average score of 84.0% across 6 benchmarks. It excels particularly in HumanEval (94.5%), MMLU (90.2%), MATH (89.1%). It supports a 524K token context window for handling large documents. The model is available through 2 API providers. Released in 2025, it represents Moonshot AI'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.
6 months newer
Qwen2.5 VL 32B Instruct
Alibaba Cloud / Qwen Team
2025-02-28
Kimi K2 0905
Moonshot AI
2025-09-05
Performance Metrics
Context window and performance specifications
Average performance across 29 common benchmarks
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Kimi K2 0905
Average Score:17.4%
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Qwen2.5 VL 32B Instruct
Average Score:61.4%(+44.0%)
Provider Availability & Performance
Available providers and their performance metrics
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Kimi K2 0905
2 providers
Novita
ZeroEval
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Qwen2.5 VL 32B Instruct
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Kimi K2 0905
Avg Score:17.4%
Providers:2
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Qwen2.5 VL 32B Instruct
Avg Score:61.4%(+44.0%)
Providers:0