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o1 vs Qwen3-235B-A22B-Thinking-2507
Comprehensive side-by-side LLM comparison
o1 leads with 1.3% higher average benchmark score. Qwen3-235B-A22B-Thinking-2507 offers 87.1K more tokens in context window than o1. Qwen3-235B-A22B-Thinking-2507 is $71.70 cheaper per million tokens. 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
Qwen3 235B Thinking was developed as a reasoning-enhanced variant, designed to incorporate extended thinking capabilities into the large-scale Qwen3 architecture. Built to combine deliberate analytical processing with mixture-of-experts efficiency, it serves tasks requiring both deep reasoning and computational practicality.
7 months newer
o1
OpenAI
2024-12-17
Qwen3-235B-A22B-Thinking-2507
Alibaba Cloud / Qwen Team
2025-07-25
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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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Qwen3-235B-A22B-Thinking-2507
Input:$0.30
Output:$3.00($71.70 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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o1
Average Score:66.3%(+1.3%)
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Qwen3-235B-A22B-Thinking-2507
Average Score:65.0%
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:66.3%(+1.3%)
Providers:2
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Qwen3-235B-A22B-Thinking-2507
Avg Score:65.0%
Providers:1