Alibaba Cloud (Qwen)Qwen3.6-PlusVSZ.ai (Zhipu AI)GLM-4.6
Our Take
We recommend Qwen3.6-Plus for complex complex codebases, multi-file repositories, and architectural planning, or the 1.1x cheaper GLM-4.6 if your budget requires optimizing costs for very high-volume pipelines. While Qwen3.6-Plus offers a clear reasoning advantage, it carries a moderate price premium. Choose Qwen3.6-Plus for architectural codebase planning, or GLM-4.6 to save on API costs for simple scripts.
▶WHY?
Benchmark Calculations & Evidence:
Coding Evaluation: Qwen3.6-Plus was evaluated on SWE-bench Pro (scoring 56.6%), while GLM-4.6 was evaluated on SWE-bench Verified (scoring 68%).
Reasoning Accuracy: Both models were evaluated on the GPQA Diamond benchmark. Qwen3.6-Plus scored 90.4%, while GLM-4.6 scored 82.9%.
Cost Efficiency: GLM-4.6 pricing ($0.6/M input, $2.2/M output) is 1.1x 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 (+7.5%)
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-verified)
68%multi-file code and clearly defined tasks
Reasoning (gpqa-diamond)
82.9%graduate-level science QA
Cost & Context
Cost (per 1M tokens)1.1x cheaper
$1.00Input: $0.60 | Output: $2.20Context Window
202.75k tokensFrequently Asked Questions about Qwen3.6-Plus vs GLM-4.6
GLM-4.6 is cheaper than Qwen3.6-Plus. GLM-4.6 has a blended cost of $1.00/1M tokens, which is about 1.1x cheaper than Qwen3.6-Plus at $1.13/1M tokens.
For coding tasks, Qwen3.6-Plus scores 56.6% on swe-bench-pro (complex codebases, multi-file repositories, and architectural planning), while GLM-4.6 scores 68% on swe-bench-verified (multi-file code and clearly defined tasks).
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