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Google

Gemini 3.1 Pro

VS
Z.ai (Zhipu AI)

GLM-5.1

✍️ 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 4.2% higher on coding benchmarks. However, this accuracy premium comes with a cost overhead: GLM-5.1 is 3.0x cheaper to run. If you are building high-volume, simple chatbots or processing massive amounts of text where budget is critical, GLM-5.1 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)
54.2%
Reasoning (gpqa-diamond)Winner (+8.1%)
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-5.1

Benchmarks & Scores

Coding (swe-bench-pro)Winner (+4.2%)
58.4%
Reasoning (gpqa-diamond)
86.2%

Cost & Performance

Cost (per 1M tokens)3.0x cheaper
$1.50Input: $0.98 | Output: $3.08
Speed
N/A
Context Window
204.8k tokens
Read our data collection methodology

Frequently Asked Questions

GLM-5.1 is cheaper than Gemini 3.1 Pro. GLM-5.1 has a blended cost of $1.50/1M tokens, which is about 3.0x cheaper than Gemini 3.1 Pro at $4.50/1M tokens.

Speed data is not available for GLM-5.1, while Gemini 3.1 Pro generates 109 tokens per second.

GLM-5.1 is better for coding tasks. It scores 58.4% on coding evaluations (swe-bench-pro) compared to Gemini 3.1 Pro which scores 54.2%.

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