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Kimi K2 Base vs QwQ-32B-Preview
Comprehensive side-by-side LLM comparison
QwQ-32B-Preview leads with 17.1% higher average benchmark score. QwQ-32B-Preview is available on 4 providers. Overall, QwQ-32B-Preview is the stronger choice for coding tasks.
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Moonshot AI
Kimi K2 Base was created as the foundation model in the K2 series, designed to serve as a starting point for fine-tuning and customization. Built to provide strong base capabilities for domain-specific applications, it enables developers to build specialized solutions on Moonshot's architecture.
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Alibaba Cloud / Qwen Team
QwQ 32B Preview was introduced as an early access version of the QwQ reasoning model, designed to allow researchers and developers to experiment with advanced analytical capabilities. Built to gather feedback on reasoning-enhanced architecture, it represents an experimental step toward more thoughtful language models.
7 months newer
QwQ-32B-Preview
Alibaba Cloud / Qwen Team
2024-11-28
Kimi K2 Base
Moonshot AI
2025-07-11
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Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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Kimi K2 Base
Average Score:48.1%
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QwQ-32B-Preview
Average Score:65.2%(+17.1%)
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Knowledge Cutoff
Training data recency comparison
QwQ-32B-Preview
2024-11-28
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Kimi K2 Base
0 providers
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QwQ-32B-Preview
4 providers
DeepInfra
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Kimi K2 Base
Avg Score:48.1%
Providers:0
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QwQ-32B-Preview
Avg Score:65.2%(+17.1%)
Providers:4