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o1 vs QwQ-32B-Preview
Comprehensive side-by-side LLM comparison
o1 leads with 18.5% higher average benchmark score. o1 offers 234.5K more tokens in context window than QwQ-32B-Preview. QwQ-32B-Preview is $74.65 cheaper per million tokens. QwQ-32B-Preview is available on 4 providers. Overall, o1 is the stronger choice for coding tasks.
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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 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.
19 days newer
QwQ-32B-Preview
Alibaba Cloud / Qwen Team
2024-11-28
o1
OpenAI
2024-12-17
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Pricing Comparison
Cost per million tokens (USD)
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o1
Input:$15.00
Output:$60.00
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QwQ-32B-Preview
Input:$0.15
Output:$0.20($74.65 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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o1
Average Score:76.2%(+18.5%)
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QwQ-32B-Preview
Average Score:57.6%
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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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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:76.2%(+18.5%)
Providers:2
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QwQ-32B-Preview
Avg Score:57.6%
Providers:4