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o3-mini vs Qwen3-235B-A22B-Thinking-2507
Comprehensive side-by-side LLM comparison
Qwen3-235B-A22B-Thinking-2507 leads with 4.5% higher average benchmark score. Qwen3-235B-A22B-Thinking-2507 offers 87.1K more tokens in context window than o3-mini. Qwen3-235B-A22B-Thinking-2507 is $2.20 cheaper per million tokens. Both models have their strengths depending on your specific coding needs.
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OpenAI
o3-mini was created as an efficient variant of the o3 reasoning model, designed to provide advanced thinking capabilities with reduced computational requirements. Built to make next-generation reasoning accessible to a broader range of applications, it balances analytical depth with practical speed and cost considerations.
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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.
5 months newer
o3-mini
OpenAI
2025-01-30
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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o3-mini
Input:$1.10
Output:$4.40
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Qwen3-235B-A22B-Thinking-2507
Input:$0.30
Output:$3.00($2.20 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 5 common benchmarks
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o3-mini
Average Score:68.1%
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Qwen3-235B-A22B-Thinking-2507
Average Score:72.7%(+4.5%)
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Knowledge Cutoff
Training data recency comparison
o3-mini
2023-09-30
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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o3-mini
2 providers
Azure
Throughput: 115 tok/s
Latency: 5.2ms
OpenAI
Throughput: 115 tok/s
Latency: 5.2ms
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o3-mini
Avg Score:68.1%
Providers:2
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Qwen3-235B-A22B-Thinking-2507
Avg Score:72.7%(+4.5%)
Providers:1