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o1 vs Qwen3 32B
Comprehensive side-by-side LLM comparison
Qwen3 32B leads with 7.5% higher average benchmark score. o1 offers 44.0K more tokens in context window than Qwen3 32B. Qwen3 32B is $74.60 cheaper per million tokens. Overall, Qwen3 32B 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
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.
4 months newer
o1
OpenAI
2024-12-17
Qwen3 32B
Alibaba Cloud / Qwen Team
2025-04-29
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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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Qwen3 32B
Input:$0.10
Output:$0.30($74.60 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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o1
Average Score:70.7%
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Qwen3 32B
Average Score:78.1%(+7.5%)
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:70.7%
Providers:2
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Qwen3 32B
Avg Score:78.1%(+7.5%)
Providers:3