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Kimi K2 Instruct vs Qwen2.5-Omni-7B
Comprehensive side-by-side LLM comparison
Qwen2.5-Omni-7B leads with 1.7% higher average benchmark score. Qwen2.5-Omni-7B supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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Moonshot AI
Kimi K2 Instruct is a language model developed by Moonshot AI. It achieves strong performance with an average score of 66.7% across 38 benchmarks. It excels particularly in MATH-500 (97.4%), GSM8k (97.3%), CBNSL (95.6%). It supports a 262K 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 2025, it represents Moonshot AI's latest advancement in AI technology.
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Alibaba Cloud / Qwen Team
Qwen2.5-Omni-7B is a multimodal language model developed by Alibaba Cloud / Qwen Team. The model shows competitive results across 45 benchmarks. It excels particularly in DocVQA (95.2%), VocalSound (93.9%), GSM8k (88.7%). 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.
3 months newer
Qwen2.5-Omni-7B
Alibaba Cloud / Qwen Team
2025-03-27
Kimi K2 Instruct
Moonshot AI
2025-07-11
Performance Metrics
Context window and performance specifications
Average performance across 76 common benchmarks
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Kimi K2 Instruct
Average Score:33.3%
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Qwen2.5-Omni-7B
Average Score:35.1%(+1.7%)
Provider Availability & Performance
Available providers and their performance metrics
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Kimi K2 Instruct
1 providers
Novita
Throughput: 45 tok/s
Latency: 0.95ms
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Qwen2.5-Omni-7B
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Kimi K2 Instruct
Avg Score:33.3%
Providers:1
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Qwen2.5-Omni-7B
Avg Score:35.1%(+1.7%)
Providers:0