GPT-5.6 Luna vs GPT-5.6 Sol
GPT-5.6 Luna (OpenAI) versus GPT-5.6 Sol (OpenAI): API pricing, context window, capabilities and uptime, from the same data as each model page, at the KumoAPI default channel price. Input costs 0.2 Credits / M for GPT-5.6 Luna and 5 Credits / M for GPT-5.6 Sol, so GPT-5.6 Luna is 96% cheaper. Context windows are 1.05M and 1.05M.
Specs side by side
| Item | ||
|---|---|---|
| Input (prompt) · Credits / M | 0.2 | 5 |
| Output (completion) · Credits / M | 1.2 | 30 |
| Cache read · Credits / M | 0.02 | 0.5 |
| Context window | 1.05M | 1.05M |
| Max output | 128K | 128K |
| 7-day uptime | — | — |
| Latest probe latency | — | — |
| Measured throughput | — | — |
| Protocols | — | — |
| Sample monthly cost (10M in + 2M out) | 4.4 | 110 |
Prices are the KumoAPI default channel price in Credits (1 Credit = ¥1); green marks the better side. Uptime and latency come from KumoAPI probes; a dash means the model is not probed yet.
Capabilities
FAQ
Which is cheaper, GPT-5.6 Luna or GPT-5.6 Sol?
At the KumoAPI default channel price, GPT-5.6 Luna input costs 0.2 Credits / M and GPT-5.6 Sol input costs 5 Credits / M, so GPT-5.6 Luna is 96% cheaper. Output and cache prices are in the specs table above.
Which has the larger context window, GPT-5.6 Luna or GPT-5.6 Sol?
GPT-5.6 Luna offers 1.05M tokens, GPT-5.6 Sol offers 1.05M tokens.
Can I switch between GPT-5.6 Luna and GPT-5.6 Sol at any time?
Yes. KumoAPI calls every model with the same API key; switching is just changing the model field in the request, and billing is split per model in one console.
How do the capabilities of GPT-5.6 Luna and GPT-5.6 Sol differ?
Their capability flags are identical. Every other capability is either supported by both or by neither; see the capability table above.
More comparisons
One API key for both GPT-5.6 Luna and GPT-5.6 Sol
Free credits on sign-up, pay as you go, no monthly fee.