GoogleGemini 3 FlashVSZ.ai (Zhipu AI)GLM-5.2
Our Take
We recommend GLM-5.2 for complex complex codebases, multi-file repositories, and architectural planning, or the 1.9x cheaper Gemini 3 Flash if your workflow is limited to multi-file code and clearly defined tasks. While they share very similar reasoning capabilities, GLM-5.2 handles repository-scale projects whereas Gemini 3 Flash excels at basic functions and scripts. Choose GLM-5.2 for architectural codebase planning, or Gemini 3 Flash to save on API costs for simple scripts.
▶WHY?
Benchmark Calculations & Evidence:
Coding Evaluation: Gemini 3 Flash was evaluated on SWE-bench Verified (scoring 78%), while GLM-5.2 was evaluated on SWE-bench Pro (scoring 62.1%).
Reasoning Accuracy: Both models were evaluated on the GPQA Diamond benchmark. Gemini 3 Flash scored 90.4%, while GLM-5.2 scored 91.2%.
Cost Efficiency: Gemini 3 Flash pricing ($0.5/M input, $3/M output) is 1.9x cheaper than GLM-5.2 ($1.4/M input, $4.4/M output).
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Benchmarks & Scores
Coding (swe-bench-verified)
78%multi-file code and clearly defined tasks
Reasoning (gpqa-diamond)
90.4%graduate-level science QA
Cost & Context
Cost (per 1M tokens)1.9x cheaper
$1.13Input: $0.50 | Output: $3.00Context Window
1.05M tokensBenchmarks & Scores
Coding (swe-bench-pro)
62.1%complex codebases, multi-file repositories, and architectural planning
Reasoning (gpqa-diamond)Winner (+0.8%)
91.2%graduate-level science QA
Cost & Context
Cost (per 1M tokens)
$2.15Input: $1.40 | Output: $4.40Context Window
1.05M tokensFrequently Asked Questions about Gemini 3 Flash vs GLM-5.2
Gemini 3 Flash is cheaper than GLM-5.2. Gemini 3 Flash has a blended cost of $1.13/1M tokens, which is about 1.9x cheaper than GLM-5.2 at $2.15/1M tokens.
For coding tasks, Gemini 3 Flash scores 78% on swe-bench-verified (multi-file code and clearly defined tasks), while GLM-5.2 scores 62.1% on swe-bench-pro (complex codebases, multi-file repositories, and architectural planning).
Related Matchups
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