Kimi K2 with always-on extended reasoning for complex problem solving.
Z.ai's frontier reasoning model for long-context agents and software engineering.
No shared agent demos for these models yet.
No captured outputs for these models yet.
This model hasn't been benchmarked yet.
Both Kimi K2 Thinking and GLM 5.2 are capable AI models. The best choice depends on your specific use case: consider pricing, context window, speed, and which capabilities (vision, reasoning, audio) you need.
Kimi K2 Thinking has a lower blended cost. Kimi K2 Thinking: $0.60 input / $2.50 output. GLM 5.2: $0.78 input / $2.44 output.
GLM 5.2 has a larger context window: Kimi K2 Thinking supports 262K tokens vs GLM 5.2 at 1M tokens.
Kimi K2 Thinking and GLM 5.2 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 Kimi K2 Thinking and GLM 5.2 for free on idapt.app to see which performs better for your specific needs.