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Kimi-k1.5 vs Qwen2.5 7B Instruct
Comprehensive side-by-side LLM comparison
Qwen2.5 7B Instruct leads with 8.3% higher average benchmark score. Kimi-k1.5 supports multimodal inputs. Overall, Qwen2.5 7B Instruct is the stronger choice for coding tasks.
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Moonshot AI
Kimi-k1.5 is a multimodal language model developed by Moonshot AI. This model demonstrates exceptional performance with an average score of 81.7% across 9 benchmarks. It excels particularly in MATH-500 (96.2%), CLUEWSC (91.4%), C-Eval (88.3%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Moonshot AI's latest advancement in AI technology.
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Alibaba Cloud / Qwen Team
Qwen2.5 7B Instruct is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 65.6% across 14 benchmarks. It excels particularly in GSM8k (91.6%), MT-Bench (87.5%), HumanEval (84.8%). It supports a 139K token context window for handling large documents. The model is available through 1 API provider. 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.
4 months newer
Qwen2.5 7B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
Kimi-k1.5
Moonshot AI
2025-01-20
Performance Metrics
Context window and performance specifications
Average performance across 22 common benchmarks
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Kimi-k1.5
Average Score:33.4%
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Qwen2.5 7B Instruct
Average Score:41.7%(+8.3%)
Provider Availability & Performance
Available providers and their performance metrics
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Kimi-k1.5
0 providers
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Qwen2.5 7B Instruct
1 providers
Together
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Kimi-k1.5
Avg Score:33.4%
Providers:0
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Qwen2.5 7B Instruct
Avg Score:41.7%(+8.3%)
Providers:1