Z.ai's frontier reasoning model for long-context agents and software engineering.
Google's frontier model with a large leap in core reasoning.
No shared agent demos for these models yet.
No captured outputs for these models yet.
Based on the Capability Index, Gemini 3.1 Pro scores higher (86.4 vs 83.4). However, "better" depends on your use case — pricing, speed, context window, and specific capability needs all matter.
GLM 5.2 has a lower blended cost. GLM 5.2: $0.78 input / $2.44 output. Gemini 3.1 Pro: $2.00 input / $12.00 output.
GLM 5.2 has a larger context window: GLM 5.2 supports 1M tokens vs Gemini 3.1 Pro at 1M tokens.
Gemini 3.1 Pro supports vision/image input, but GLM 5.2 does not.
Gemini 3.1 Pro scores higher on SWE-bench Verified: GLM 5.2 resolves 79% vs Gemini 3.1 Pro at 81%.
Key differences: GLM 5.2 is significantly cheaper; only Gemini 3.1 Pro supports vision input. Compare full specs on this page.
If cost is your priority, choose the cheaper option. If you need the highest intelligence for complex tasks, pick the higher-scoring model. For long documents or codebases, choose the larger context window. You can try both GLM 5.2 and Gemini 3.1 Pro for free on idapt.app to see which performs better for your specific needs.