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o1-mini vs Qwen3-235B-A22B-Thinking-2507
Comprehensive side-by-side LLM comparison
Qwen3-235B-A22B-Thinking-2507 leads with 21.1% higher average benchmark score. Qwen3-235B-A22B-Thinking-2507 offers 193.5K more tokens in context window than o1-mini. Qwen3-235B-A22B-Thinking-2507 is $11.70 cheaper per million tokens. Overall, Qwen3-235B-A22B-Thinking-2507 is the stronger choice for coding tasks.
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OpenAI
o1-mini was created as a faster, more cost-effective reasoning model, designed to bring extended thinking capabilities to applications with tighter latency and budget constraints. Built to excel particularly in coding and STEM reasoning while maintaining affordability, it provides a more accessible entry point to reasoning-enhanced AI assistance.
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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.
10 months newer
o1-mini
OpenAI
2024-09-12
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-mini
Input:$3.00
Output:$12.00
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Qwen3-235B-A22B-Thinking-2507
Input:$0.30
Output:$3.00($11.70 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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o1-mini
Average Score:60.0%
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Qwen3-235B-A22B-Thinking-2507
Average Score:81.1%(+21.1%)
Provider Availability & Performance
Available providers and their performance metrics
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o1-mini
2 providers
Azure
Throughput: 100 tok/s
Latency: 0.5ms
OpenAI
Throughput: 115 tok/s
Latency: 5.2ms
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o1-mini
Avg Score:60.0%
Providers:2
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Qwen3-235B-A22B-Thinking-2507
Avg Score:81.1%(+21.1%)
Providers:1