GoogleGemini 2.5 FlashVSZ.ai (Zhipu AI)GLM-4.7
Our Take
We recommend GLM-4.7 for its clear benchmark advantage, or the 1.2x cheaper Gemini 2.5 Flash only if your budget requires optimizing costs for very high-volume pipelines. While GLM-4.7 offers superior reasoning and coding, it carries a moderate price premium. Choose GLM-4.7 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-4.7 scored 73.8%, while Gemini 2.5 Flash scored 60.4%.
Reasoning Benchmarks: Both models were evaluated on the GPQA Diamond benchmark. GLM-4.7 scored 85.7%, while Gemini 2.5 Flash scored 68.3%.
Cost Efficiency: Gemini 2.5 Flash pricing ($0.3/M input, $2.5/M output) is 1.2x cheaper than GLM-4.7 ($0.6/M input, $2.2/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)1.2x cheaper
$0.85Input: $0.30 | Output: $2.50Context WindowLarger
1.05M tokensBenchmarks & Scores
Coding (swe-bench-verified)Winner (+13.4%)
73.8%multi-file code and clearly defined tasks
Reasoning (gpqa-diamond)Winner (+17.4%)
85.7%graduate-level science QA
Cost & Context
Cost (per 1M tokens)
$1.00Input: $0.60 | Output: $2.20Context Window
202.75k tokensFrequently Asked Questions about Gemini 2.5 Flash vs GLM-4.7
Gemini 2.5 Flash is cheaper than GLM-4.7. Gemini 2.5 Flash has a blended cost of $0.85/1M tokens, which is about 1.2x cheaper than GLM-4.7 at $1.00/1M tokens.
GLM-4.7 is better for coding tasks on this benchmark. It scores 73.8% 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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