Alibaba Cloud (Qwen)Qwen3.6-PlusVSZ.ai (Zhipu AI)GLM-5.1
Our Take
We recommend choosing Qwen3.6-Plus as it delivers superior reasoning capability while matching the coding accuracy of GLM-5.1 at a 1.9x API cost saving. Choose Qwen3.6-Plus for superior overall value and reasoning efficiency.
▶WHY?
Benchmark Calculations & Evidence:
Coding Benchmarks: Both models were evaluated on the SWE-bench Pro benchmark. Qwen3.6-Plus scored 56.6%, while GLM-5.1 scored 58.4%.
Reasoning Benchmarks: Both models were evaluated on the GPQA Diamond benchmark. Qwen3.6-Plus scored 90.4%, while GLM-5.1 scored 86.2%.
Cost Efficiency: GLM-5.1 pricing ($1.4/M input, $4.4/M output) is 1.9x cheaper than Qwen3.6-Plus ($0.5/M input, $3/M output).
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Benchmarks & Scores
Coding (swe-bench-pro)
56.6%complex codebases, multi-file repositories, and architectural planning
Reasoning (gpqa-diamond)Winner (+4.2%)
90.4%graduate-level science QA
Cost & Context
Cost (per 1M tokens)1.9x cheaper
$1.13Input: $0.50 | Output: $3.00Context WindowLarger
1.05M tokensBenchmarks & Scores
Coding (swe-bench-pro)Winner (+1.8%)
58.4%complex codebases, multi-file repositories, and architectural planning
Reasoning (gpqa-diamond)
86.2%graduate-level science QA
Cost & Context
Cost (per 1M tokens)
$2.15Input: $1.40 | Output: $4.40Context Window
202.75k tokensFrequently Asked Questions about Qwen3.6-Plus vs GLM-5.1
Qwen3.6-Plus is cheaper than GLM-5.1. Qwen3.6-Plus has a blended cost of $1.13/1M tokens, which is about 1.9x cheaper than GLM-5.1 at $2.15/1M tokens.
GLM-5.1 is better for coding tasks on this benchmark. It scores 58.4% on swe-bench-pro (complex codebases, multi-file repositories, and architectural planning) compared to Qwen3.6-Plus which scores 56.6%.
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