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Google

Gemma 4 12B

VS
Z.ai (Zhipu AI)

GLM-4.6

✍️ Analysis by:the whichllmmodel Editorial Team|📅 Updated: June 2026

Decision Recommendation

⚖️ Editorial Verdict: In our analysis, GLM-4.6 is the premium intelligence choice, scoring 9.7% higher on coding benchmarks. It also maintains strong cost efficiency. If you are building high-volume, simple chatbots or processing massive amounts of text where budget is critical, Gemma 4 12B offers excellent cost savings. For agentic reasoning, code refactoring, or complex logical tasks, the accuracy premium of GLM-4.6 fully justifies the cost.

Model Specs

Gemma 4 12B

Benchmarks & Scores

Coding (swe-bench-pro)
N/A
Reasoning (gpqa-diamond)
78.8%

Cost & Performance

Cost (per 1M tokens)
N/AInput: N/A | Output: N/A
Speed
N/A
Context WindowLarger
262.14k tokens
Model Specs

GLM-4.6

Benchmarks & Scores

Coding (swe-bench-pro)Winner (+)
9.67%
Reasoning (gpqa-diamond)Winner (+4.1%)
82.9%

Cost & Performance

Cost (per 1M tokens)
N/AInput: N/A | Output: N/A
Speed
N/A
Context Window
204.8k tokens

Frequently Asked Questions

Pricing data is currently unavailable for one or both of these models, so a direct cost comparison cannot be determined.

Speed metrics are currently unavailable for both models.

GLM-4.6 is better for coding tasks. It scores 9.67% on coding evaluations (swe-bench-pro) compared to Gemma 4 12B which scores N/A.

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