GoogleGemini 2.5 FlashVSZ.ai (Zhipu AI)GLM-5
Our Take
We recommend GLM-5 for its clear benchmark advantage, or the 1.8x cheaper Gemini 2.5 Flash only if your budget requires optimizing costs for very high-volume pipelines. While GLM-5 offers superior reasoning and coding, it carries a moderate price premium. Choose GLM-5 for quality, or Gemini 2.5 Flash for cost optimization.
▶WHY?
Benchmark Calculations & Evidence:
Coding Benchmarks: Both models were evaluated on the SWE-bench Verified benchmark. GLM-5 scored 77.8%, while Gemini 2.5 Flash scored 60.4%.
Reasoning Benchmarks: Both models were evaluated on the GPQA Diamond benchmark. GLM-5 scored 86%, while Gemini 2.5 Flash scored 68.3%.
Cost Efficiency: Gemini 2.5 Flash pricing ($0.3/M input, $2.5/M output) is 1.8x cheaper than GLM-5 ($1/M input, $3.2/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)1.8x cheaper
$0.85Input: $0.30 | Output: $2.50Context WindowLarger
1.05M tokensBenchmarks & Scores
Coding (swe-bench-verified)Winner (+17.4%)
77.8%multi-file code and clearly defined tasks
Reasoning (gpqa-diamond)Winner (+17.7%)
86%graduate-level science QA
Cost & Context
Cost (per 1M tokens)
$1.55Input: $1.00 | Output: $3.20Context Window
202.75k tokensFrequently Asked Questions about Gemini 2.5 Flash vs GLM-5
Gemini 2.5 Flash is cheaper than GLM-5. Gemini 2.5 Flash has a blended cost of $0.85/1M tokens, which is about 1.8x cheaper than GLM-5 at $1.55/1M tokens.
GLM-5 is better for coding tasks on this benchmark. It scores 77.8% on swe-bench-verified (multi-file code and clearly defined tasks) compared to Gemini 2.5 Flash which scores 60.4%.
Related Matchups
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