A side-by-side comparison of GLM-5.3 and GLM-5.3-Flash: input/output pricing, capabilities and available endpoints, served live from J8API. Both are reachable with the same API key.
| Item | GLM-5.3 | GLM-5.3-Flash |
|---|---|---|
| Input (per 1M tokens) | $0.63 | $0.0675 |
| Output (per 1M tokens) | $1.98 | $0.225 |
| Cache read explicit (per 1M tokens) | $0.117 | $0.0135 |
| Item | GLM-5.3 | GLM-5.3-Flash |
|---|---|---|
| Context window | 1,048,576 | 1,048,576 |
| Max output | 131,072 | 131,072 |
| Item | GLM-5.3 | GLM-5.3-Flash |
|---|---|---|
| function_calling | Yes | Yes |
| prompt_caching | Yes | Yes |
On input, GLM-5.3-Flash is cheaper ($0.63 vs $0.0675 per 1M tokens). On output, GLM-5.3-Flash is cheaper ($1.98 vs $0.225 per 1M tokens). All prices are per million tokens in USD.
both support function_calling, prompt_caching.
Yes. Both are available on J8API through one API key and the same OpenAI-compatible endpoint — switching means changing the model field from "glm-5.3" to "glm-5.3-flash", nothing else.
Both are available on J8API under one API key — switching between them means changing the model field and nothing else, so you can use each where it fits rather than picking one.