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Kimi K2 Instruct vs QwQ-32B
Comprehensive side-by-side LLM comparison
Kimi K2 Instruct leads with 3.2% higher average benchmark score. Both models have their strengths depending on your specific coding needs.
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Moonshot AI
Kimi K2 Instruct was developed as the instruction-tuned version of Kimi K2, designed to follow user instructions reliably across diverse tasks. Built to serve general-purpose conversational and task-completion applications, it provides Moonshot's accessible interface for language AI.
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Alibaba Cloud / Qwen Team
QwQ 32B was developed as a reasoning-focused model, designed to emphasize analytical thinking and problem-solving capabilities. Built with 32 billion parameters optimized for step-by-step reasoning, it demonstrates Qwen's exploration into models that prioritize deliberate analytical processing.
4 months newer
QwQ-32B
Alibaba Cloud / Qwen Team
2025-03-05
Kimi K2 Instruct
Moonshot AI
2025-07-11
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Performance Metrics
Context window and performance specifications
Average performance across 5 common benchmarks
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Kimi K2 Instruct
Average Score:81.7%(+3.2%)
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QwQ-32B
Average Score:78.5%
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Knowledge Cutoff
Training data recency comparison
QwQ-32B
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 Instruct
1 providers
Novita
Throughput: 45 tok/s
Latency: 0.95ms
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QwQ-32B
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Kimi K2 Instruct
Avg Score:81.7%(+3.2%)
Providers:1
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QwQ-32B
Avg Score:78.5%
Providers:0