GoogleGemini 3.5 FlashVSZ.ai (Zhipu AI)GLM-4.7
Our Take
We recommend Gemini 3.5 Flash if you need peak intelligence for complex complex codebases, multi-file repositories, and architectural planning, or the 3.4x cheaper GLM-4.7 if your workflow is limited to multi-file code and clearly defined tasks. While Gemini 3.5 Flash holds a major reasoning advantage, GLM-4.7 is optimized for high-volume budget pipelines. Choose Gemini 3.5 Flash for architectural codebase planning, or GLM-4.7 to maximize your budget for basic scripts.
▶WHY?
Benchmark Calculations & Evidence:
Coding Evaluation: Gemini 3.5 Flash was evaluated on SWE-bench Pro (scoring 55.1%), while GLM-4.7 was evaluated on SWE-bench Verified (scoring 73.8%).
Reasoning Accuracy: Both models were evaluated on the GPQA Diamond benchmark. Gemini 3.5 Flash scored 92.2%, while GLM-4.7 scored 85.7%.
Cost Efficiency: GLM-4.7 pricing ($0.6/M input, $2.2/M output) is 3.4x cheaper than Gemini 3.5 Flash ($1.5/M input, $9/M output).
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Benchmarks & Scores
Coding (swe-bench-pro)
55.1%complex codebases, multi-file repositories, and architectural planning
Reasoning (gpqa-diamond)Winner (+6.5%)
92.2%graduate-level science QA
Cost & Context
Cost (per 1M tokens)
$3.38Input: $1.50 | Output: $9.00Context WindowLarger
1.05M tokensBenchmarks & Scores
Coding (swe-bench-verified)
73.8%multi-file code and clearly defined tasks
Reasoning (gpqa-diamond)
85.7%graduate-level science QA
Cost & Context
Cost (per 1M tokens)3.4x cheaper
$1.00Input: $0.60 | Output: $2.20Context Window
202.75k tokensFrequently Asked Questions about Gemini 3.5 Flash vs GLM-4.7
GLM-4.7 is cheaper than Gemini 3.5 Flash. GLM-4.7 has a blended cost of $1.00/1M tokens, which is about 3.4x cheaper than Gemini 3.5 Flash at $3.38/1M tokens.
For coding tasks, Gemini 3.5 Flash scores 55.1% on swe-bench-pro (complex codebases, multi-file repositories, and architectural planning), while GLM-4.7 scores 73.8% on swe-bench-verified (multi-file code and clearly defined tasks).
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