GoogleGemma 4 E4BVSZ.ai (Zhipu AI)GLM-4.7
Our Take
We recommend Gemma 4 E4B for practical local execution on standard developer hardware, or GLM-4.7 if you need peak reasoning and have the VRAM (or a cloud API) to host it. While GLM-4.7 offers frontier capability, its massive parameter size makes it extremely difficult to host locally. Choose Gemma 4 E4B for standard local setups, or GLM-4.7 for peak reasoning.
▶WHY?
Benchmark Calculations & Evidence:
Model Size: GLM-4.7 is a massive 358B parameter model requiring heavy GPU infrastructure, while Gemma 4 E4B is a 4.5B parameter model.
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Benchmarks & Scores
Coding (live-code-bench)
52%scripting single-file apps or clearly defined functions
Reasoning (gpqa-diamond)
58.6%graduate-level science QA
Cost & Context
Cost (per 1M tokens)
Self HostLocal execution (zero API fees)Context Window
131.07k tokensBenchmarks & Scores
Coding (swe-bench-verified)
73.8%multi-file code and clearly defined tasks
Reasoning (gpqa-diamond)Winner (+27.1%)
85.7%graduate-level science QA
Cost & Context
Cost (per 1M tokens)
$1.00Input: $0.60 | Output: $2.20Context WindowLarger
202.75k tokensFrequently Asked Questions about Gemma 4 E4B vs GLM-4.7
For coding tasks, Gemma 4 E4B scores 52% on live-code-bench (scripting single-file apps or clearly defined functions), while GLM-4.7 scores 73.8% on swe-bench-verified (multi-file code and clearly defined tasks).
Related Matchups
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