GoogleGemini 2.5 FlashVSZ.ai (Zhipu AI)GLM-5.1
Our Take
We recommend GLM-5.1 for complex complex codebases, multi-file repositories, and architectural planning, or the 2.5x cheaper Gemini 2.5 Flash if your budget requires optimizing costs for very high-volume pipelines. While GLM-5.1 offers a clear reasoning advantage, it carries a moderate price premium. Choose GLM-5.1 for architectural codebase planning, or Gemini 2.5 Flash to save on API costs for simple scripts.
▶WHY?
Benchmark Calculations & Evidence:
Coding Evaluation: Gemini 2.5 Flash was evaluated on SWE-bench Verified (scoring 60.4%), while GLM-5.1 was evaluated on SWE-bench Pro (scoring 58.4%).
Reasoning Accuracy: Both models were evaluated on the GPQA Diamond benchmark. GLM-5.1 scored 86.2%, while Gemini 2.5 Flash scored 68.3%.
Cost Efficiency: Gemini 2.5 Flash pricing ($0.3/M input, $2.5/M output) is 2.5x cheaper than GLM-5.1 ($1.4/M input, $4.4/M output).
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Benchmarks & Scores
Coding (swe-bench-verified)
60.4%multi-file code and clearly defined tasks
Reasoning (gpqa-diamond)
68.3%graduate-level science QA
Cost & Context
Cost (per 1M tokens)2.5x cheaper
$0.85Input: $0.30 | Output: $2.50Context WindowLarger
1.05M tokensBenchmarks & Scores
Coding (swe-bench-pro)
58.4%complex codebases, multi-file repositories, and architectural planning
Reasoning (gpqa-diamond)Winner (+17.9%)
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 Gemini 2.5 Flash vs GLM-5.1
Gemini 2.5 Flash is cheaper than GLM-5.1. Gemini 2.5 Flash has a blended cost of $0.85/1M tokens, which is about 2.5x cheaper than GLM-5.1 at $2.15/1M tokens.
For coding tasks, Gemini 2.5 Flash scores 60.4% on swe-bench-verified (multi-file code and clearly defined tasks), while GLM-5.1 scores 58.4% on swe-bench-pro (complex codebases, multi-file repositories, and architectural planning).
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