Meta's efficient multimodal MoE model with 16 experts.
Z.ai's large-scale reasoning flagship for complex software engineering and long-horizon agent tasks.
No shared demos for these models yet.
No captured outputs for these models yet.
Both Llama 4 Scout and GLM 5.3 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.
Llama 4 Scout has a lower blended cost. Llama 4 Scout: $0.10 input / $0.30 output. GLM 5.3: $1.40 input / $4.40 output.
GLM 5.3 has a larger context window: Llama 4 Scout supports 328K tokens vs GLM 5.3 at 1M tokens.
Llama 4 Scout supports vision/image input, but GLM 5.3 does not.
Key differences: Llama 4 Scout is significantly cheaper; only Llama 4 Scout supports vision input; only GLM 5.3 offers extended reasoning mode. 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 Llama 4 Scout and GLM 5.3 for free on idapt.app to see which performs better for your specific needs.