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Kimi-k1.5 vs Qwen3 32B
Comprehensive side-by-side LLM comparison
Qwen3 32B leads with 3.9% higher average benchmark score. Kimi-k1.5 supports multimodal inputs. Qwen3 32B is available on 3 providers. Both models have their strengths depending on your specific coding needs.
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Moonshot AI
Kimi K1.5 was developed by Moonshot AI as an advanced language model with extended context capabilities, designed to handle long documents and conversations. Built to excel at tasks requiring comprehension of extensive information, it represents Moonshot's approach to long-context language understanding.
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Alibaba Cloud / Qwen Team
Qwen3 32B was developed as a dense 32-billion-parameter model in the Qwen3 family, designed to provide strong language understanding without mixture-of-experts complexity. Built for applications requiring straightforward deployment and reliable performance, it serves as a capable mid-to-large-scale foundation model.
3 months newer
Kimi-k1.5
Moonshot AI
2025-01-20
Qwen3 32B
Alibaba Cloud / Qwen Team
2025-04-29
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Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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Kimi-k1.5
Average Score:77.5%
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Qwen3 32B
Average Score:81.4%(+3.9%)
Provider Availability & Performance
Available providers and their performance metrics
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Kimi-k1.5
0 providers
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Qwen3 32B
3 providers
DeepInfra
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Kimi-k1.5
Avg Score:77.5%
Providers:0
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Qwen3 32B
Avg Score:81.4%(+3.9%)
Providers:3