Z.ai's frontier reasoning model for long-context agents and software engineering.
Open-source 1.6T-parameter MoE with 49B active, built for advanced reasoning and long-horizon agents.
No shared agent demos for these models yet.
No captured outputs for these models yet.
Based on the Capability Index, GLM 5.2 scores higher (83.4 vs 81.6). However, "better" depends on your use case — pricing, speed, context window, and specific capability needs all matter.
DeepSeek V4 Pro has a lower blended cost. GLM 5.2: $0.78 input / $2.44 output. DeepSeek V4 Pro: $0.43 input / $0.87 output.
GLM 5.2 has a larger context window: GLM 5.2 supports 1M tokens vs DeepSeek V4 Pro at 1M tokens.
GLM 5.2 scores higher on SWE-bench Verified: GLM 5.2 resolves 79% vs DeepSeek V4 Pro at 78%.
GLM 5.2 and DeepSeek V4 Pro have similar overall capabilities. The main differences lie in pricing, context window size, and provider-specific strengths. Use this comparison page to review all metrics side by side.
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 DeepSeek V4 Pro for free on idapt.app to see which performs better for your specific needs.