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o1 vs QwQ-32B
Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. o1 is available on 2 providers. Both models have their strengths depending on your specific coding needs.
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OpenAI
o1 was developed as part of OpenAI's reasoning-focused model series, designed to spend more time thinking before responding. Built to excel at complex reasoning tasks in science, coding, and mathematics, it employs extended internal reasoning processes to solve harder problems than traditional language models through careful step-by-step analysis.
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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.
2 months newer
o1
OpenAI
2024-12-17
QwQ-32B
Alibaba Cloud / Qwen Team
2025-03-05
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Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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o1
Average Score:73.1%(+0.5%)
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QwQ-32B
Average Score:72.6%
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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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o1
2 providers
Azure
Throughput: 16 tok/s
Latency: 0.54ms
OpenAI
Throughput: 66 tok/s
Latency: 16.2ms
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o1
Avg Score:73.1%(+0.5%)
Providers:2
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QwQ-32B
Avg Score:72.6%
Providers:0