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Google

Gemini 3.1 Pro

VS
Z.ai (Zhipu AI)

GLM-4.6

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

Decision Recommendation

⚖️ Editorial Verdict: In our analysis, Gemini 3.1 Pro is the premium intelligence choice, scoring 44.5% higher on coding benchmarks. However, this accuracy premium comes with a cost overhead: GLM-4.6 is 1.0x cheaper to run. If you are building high-volume, simple chatbots or processing massive amounts of text where budget is critical, GLM-4.6 offers excellent cost savings. For agentic reasoning, code refactoring, or complex logical tasks, the accuracy premium of Gemini 3.1 Pro fully justifies the cost.

Model Specs

Gemini 3.1 Pro

Benchmarks & Scores

Coding (swe-bench-pro)Winner (+44.5%)
54.2%
Reasoning (gpqa-diamond)Winner (+11.4%)
94.3%

Cost & Performance

Cost (per 1M tokens)
$4.50Input: $2.00 | Output: $12.00
Speed
109 tps
Context WindowLarger
1M tokens
Model Specs

GLM-4.6

Benchmarks & Scores

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

Cost & Performance

Cost (per 1M tokens)
N/AInput: N/A | Output: N/A
Speed
N/A
Context Window
204.8k tokens
Read our data collection methodology

Frequently Asked Questions

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

Speed data is not available for GLM-4.6, while Gemini 3.1 Pro generates 109 tokens per second.

Gemini 3.1 Pro is better for coding tasks. It scores 54.2% on coding evaluations (swe-bench-pro) compared to GLM-4.6 which scores 9.67%.

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