Alibaba Cloud (Qwen)Qwen3.6-PlusVSOpenAIGPT-5 mini
Our Take
We recommend Qwen3.6-Plus for its clear benchmark advantage, or the 1.6x cheaper GPT-5 mini only if your budget requires optimizing costs for very high-volume pipelines. While Qwen3.6-Plus offers superior reasoning and coding, it carries a moderate price premium. Choose Qwen3.6-Plus for quality, or GPT-5 mini for cost optimization.
▶WHY?
Benchmark Calculations & Evidence:
Coding Benchmarks: Both models were evaluated on the SWE-bench Pro benchmark. Qwen3.6-Plus scored 56.6%, while GPT-5 mini scored 45.7%.
Reasoning Benchmarks: Both models were evaluated on the GPQA Diamond benchmark. Qwen3.6-Plus scored 90.4%, while GPT-5 mini scored 81.6%.
Cost Efficiency: GPT-5 mini pricing ($0.25/M input, $2/M output) is 1.6x cheaper than Qwen3.6-Plus ($0.5/M input, $3/M output).
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Benchmarks & Scores
Coding (swe-bench-pro)Winner (+10.9%)
56.6%complex codebases, multi-file repositories, and architectural planning
Reasoning (gpqa-diamond)Winner (+8.8%)
90.4%graduate-level science QA
Cost & Context
Cost (per 1M tokens)
$1.13Input: $0.50 | Output: $3.00Context WindowLarger
1.05M tokensBenchmarks & Scores
Coding (swe-bench-pro)
45.7%complex codebases, multi-file repositories, and architectural planning
Reasoning (gpqa-diamond)
81.6%graduate-level science QA
Cost & Context
Cost (per 1M tokens)1.6x cheaper
$0.69Input: $0.25 | Output: $2.00Context Window
400k tokensFrequently Asked Questions about Qwen3.6-Plus vs GPT-5 mini
GPT-5 mini is cheaper than Qwen3.6-Plus. GPT-5 mini has a blended cost of $0.69/1M tokens, which is about 1.6x cheaper than Qwen3.6-Plus at $1.13/1M tokens.
Qwen3.6-Plus is better for coding tasks on this benchmark. It scores 56.6% on swe-bench-pro (complex codebases, multi-file repositories, and architectural planning) compared to GPT-5 mini which scores 45.7%.
Related Matchups
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