GoogleGemini 2.5 ProVSZ.ai (Zhipu AI)GLM-5.2
Our Take
We recommend GLM-5.2 for superior overall value and reasoning capabilities, as it is cheaper or equal in cost while delivering peak intelligence. While GLM-5.2 excels at complex complex codebases, multi-file repositories, and architectural planning, Gemini 2.5 Pro is suited for scripting multi-file code and clearly defined tasks. Choose GLM-5.2 for architectural codebase planning, or Gemini 2.5 Pro if you specifically require its simpler functions profile.
▶WHY?
Benchmark Calculations & Evidence:
Coding Evaluation: Gemini 2.5 Pro was evaluated on SWE-bench Verified (scoring 59.6%), while GLM-5.2 was evaluated on SWE-bench Pro (scoring 62.1%).
Reasoning Accuracy: Both models were evaluated on the GPQA Diamond benchmark. GLM-5.2 scored 91.2%, while Gemini 2.5 Pro scored 84.4%.
Cost Efficiency: Gemini 2.5 Pro pricing ($1.25/M input, $10/M output) is 0.6x cheaper than GLM-5.2 ($1.4/M input, $4.4/M output).
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Benchmarks & Scores
Coding (swe-bench-verified)
59.6%multi-file code and clearly defined tasks
Reasoning (gpqa-diamond)
84.4%graduate-level science QA
Cost & Context
Cost (per 1M tokens)
$3.44Input: $1.25 | Output: $10.00Context Window
1.05M tokensBenchmarks & Scores
Coding (swe-bench-pro)
62.1%complex codebases, multi-file repositories, and architectural planning
Reasoning (gpqa-diamond)Winner (+6.8%)
91.2%graduate-level science QA
Cost & Context
Cost (per 1M tokens)1.6x cheaper
$2.15Input: $1.40 | Output: $4.40Context Window
1.05M tokensFrequently Asked Questions about Gemini 2.5 Pro vs GLM-5.2
GLM-5.2 is cheaper than Gemini 2.5 Pro. GLM-5.2 has a blended cost of $2.15/1M tokens, which is about 1.6x cheaper than Gemini 2.5 Pro at $3.44/1M tokens.
For coding tasks, Gemini 2.5 Pro scores 59.6% 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).
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