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GPT-4o mini vs Qwen3-235B-A22B-Thinking-2507
Comprehensive side-by-side LLM comparison
Qwen3-235B-A22B-Thinking-2507 leads with 40.9% higher average benchmark score. Qwen3-235B-A22B-Thinking-2507 offers 242.7K more tokens in context window than GPT-4o mini. GPT-4o mini is $2.55 cheaper per million tokens. GPT-4o mini supports multimodal inputs. Overall, Qwen3-235B-A22B-Thinking-2507 is the stronger choice for coding tasks.
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OpenAI
GPT-4o Mini was created as a smaller, more efficient variant of GPT-4o, designed to bring multimodal capabilities to applications requiring faster response times and lower costs. Built to democratize access to advanced vision and text understanding, it enables developers to build sophisticated applications with reduced resource requirements.
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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.
1 year newer
GPT-4o mini
OpenAI
2024-07-18
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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GPT-4o mini
Input:$0.15
Output:$0.60($2.55 cheaper)
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Qwen3-235B-A22B-Thinking-2507
Input:$0.30
Output:$3.00
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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GPT-4o mini
Average Score:40.2%
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Qwen3-235B-A22B-Thinking-2507
Average Score:81.1%(+40.9%)
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Knowledge Cutoff
Training data recency comparison
GPT-4o mini
2023-10-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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GPT-4o mini
1 providers
Azure
Throughput: 92 tok/s
Latency: 0.52ms
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Qwen3-235B-A22B-Thinking-2507
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GPT-4o mini
Avg Score:40.2%
Providers:1
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Qwen3-235B-A22B-Thinking-2507
Avg Score:81.1%(+40.9%)
Providers:1