A side-by-side comparison of GPT-6 Astra and GPT-6 Luna: input/output pricing, capabilities and available endpoints, served live from J8API. Both are reachable with the same API key.
| Item | GPT-6 Astra | GPT-6 Luna |
|---|---|---|
| Input (per 1M tokens) | $6.5 | $0.065 |
| Output (per 1M tokens) | $32.5 | $0.325 |
| Cache read explicit (per 1M tokens) | $0.65 | $0.0065 |
| Cache write 5m (per 1M tokens) | $8.125 | $0.08125 |
| Item | GPT-6 Astra | GPT-6 Luna |
|---|---|---|
| Context window | 922,000 | 922,000 |
| Max output | 128,000 | 128,000 |
| Item | GPT-6 Astra | GPT-6 Luna |
|---|---|---|
| function_calling | Yes | Yes |
| prompt_caching | Yes | Yes |
| vision | Yes | Yes |
On input, GPT-6 Luna is cheaper ($6.5 vs $0.065 per 1M tokens). On output, GPT-6 Luna is cheaper ($32.5 vs $0.325 per 1M tokens). All prices are per million tokens in USD.
both support function_calling, prompt_caching, vision.
Yes. Both are available on J8API through one API key and the same OpenAI-compatible endpoint — switching means changing the model field from "gpt-6-astra" to "gpt-6-luna", 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.