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GPT-5 mini vs Qwen3-235B-A22B-Thinking-2507
Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. GPT-5 mini offers 140.9K more tokens in context window than Qwen3-235B-A22B-Thinking-2507. GPT-5 mini is $1.05 cheaper per million tokens. GPT-5 mini supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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OpenAI
GPT-5 Mini was created as a more accessible version of GPT-5, designed to provide strong capabilities with improved efficiency and lower operational costs. Built to extend GPT-5's advancements to a broader range of applications, it balances advanced performance with practical deployment 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.
13 days newer
Qwen3-235B-A22B-Thinking-2507
Alibaba Cloud / Qwen Team
2025-07-25
GPT-5 mini
OpenAI
2025-08-07
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Pricing Comparison
Cost per million tokens (USD)
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GPT-5 mini
Input:$0.25
Output:$2.00($1.05 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 3 common benchmarks
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GPT-5 mini
Average Score:63.4%
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Qwen3-235B-A22B-Thinking-2507
Average Score:63.9%(+0.5%)
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Knowledge Cutoff
Training data recency comparison
GPT-5 mini
2024-05-30
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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GPT-5 mini
2 providers
OpenAI
Throughput: 200 tok/s
Latency: 1ms
ZeroEval
Throughput: 200 tok/s
Latency: 1ms
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GPT-5 mini
Avg Score:63.4%
Providers:2
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Qwen3-235B-A22B-Thinking-2507
Avg Score:63.9%(+0.5%)
Providers:1