GPT-5.6 Luna
As of Oct 4, 2026, the cheapest GPT-5.6 Luna API price is $0.06 per 1M input tokens (Bothub) and $0.37 per 1M output tokens (Bothub). GPT-5.6 Luna is offered by 39 providers in the gpt-luna family, reasoning enabled. OpenAI's own rate is $1.2 per 1M output tokens. One provider lists it as a free-tier offer. It is also included in 3 flat-rate subscription plans, GitHub Copilot Pro from $10/mo.
API pricing by provider
Metered per-token prices. Cheapest input and output are highlighted; † marks a context-tier surcharge. How prices are ranked.
| Bothub | Cheapest$0.06 | Cheapest$0.37 | — | — | 1.1M |
 302.AI | $0.2 | $1.2 | — | — | 1.1M |
| Amazon Bedrockglobal | †$0.2 | $1.2 | $0.02 | $0.25 | 1.1M |
| Azure | †$0.2 | $1.2 | $0.02 | $0.25 | 1.1M |
| Cloudflare AI Gateway | $0.2 | $1.2 | $0.02 | $0.25 | 1.1M |
| CrossModel | †$0.2 | $1.2 | $0.02 | $0.25 | 1.1M |
| DigitalOcean | †$0.2 | $1.2 | $0.02 | — | 1.1M |
| Eden AI | †$0.2 | $1.2 | $0.02 | $0.25 | 1.1M |
| Impossibl | †$0.2 | $1.2 | $0.02 | $0.25 | 1.1M |
| Kilo Gateway | $0.2 | $1.2 | $0.02 | $0.25 | 1.1M |
| Kilo Gateway | $0.2 | $1.2 | $0.02 | $0.25 | 1.1M |
| DevPass (LLM Gateway) | $0.2 | $1.2 | $0.02 | $0.25 | 1.1M |
| LLM Gateway | $0.2 | $1.2 | $0.02 | $0.25 | 1.1M |
| LLM Gateway | $0.2 | $1.2 | $0.02 | $0.25 | 1.1M |
| Merge Gateway | $0.2 | $1.2 | $0.02 | $0.25 | 1.1M |
| NanoGPT | $0.2 | $1.2 | $0.02 | $0.25 | 1.1M |
| Neon | †$0.2 | $1.2 | $0.02 | $0.25 | 1.1M |
| Ofox | $0.2 | $1.2 | $0.02 | $0.25 | 1.1M |
| OpenAI | †$0.2 | $1.2 | $0.02 | $0.25 | 1.1M |
| OpenCode Zen | †$0.2 | $1.2 | $0.02 | $0.25 | 1.1M |
| OpenCode Go | †$0.2 | $1.2 | $0.02 | $0.25 | 1.1M |
| OpenRouter | †$0.2 | $1.2 | $0.02 | $0.25 | 1.1M |
| Opper | †$0.2 | $1.2 | $0.02 | $0.25 | 1.0M |
| OrcaRouter | $0.2 | $1.2 | $0.02 | $0.25 | 1.1M |
| Requesty | †$0.2 | $1.2 | $0.02 | $0.25 | 1.1M |
| Vercel AI Gateway | †$0.2 | $1.2 | $0.02 | $0.25 | 1.1M |
| Cortecs | $0.219 | $1.32 | $0.022 | $0.275 | 1.1M |
| Amazon Bedrockindia | †$0.22 | $1.32 | $0.022 | $0.275 | 1.1M |
| Amazon Bedrock | †$0.22 | $1.32 | $0.022 | $0.275 | 1.1M |
| Amazon Bedrockus | †$0.22 | $1.32 | $0.022 | $0.275 | 1.1M |
| Requestyeu | †$0.22 | $1.32 | $0.022 | $0.275 | 1.1M |
| Venice AI | †$0.25 | $1.5 | $0.025 | $0.3125 | 1.0M |
| routing.run | $0.7 | $4.2 | — | — | 1.0M |
| Abacus | $1 | $6 | $0.1 | — | 1.0M |
| AI-ROUTER | $1 | $6 | $0.1 | $1.25 | 1.1M |
| AIHubMix | $1 | $6 | $0.1 | $1.25 | 1.1M |
| Azure Cognitive Services | †$1 | $6 | $0.1 | $1.25 | 1.1M |
| Databricks | †$1 | $6 | $0.1 | — | 400k |
| Pioneer | $1 | $6 | $0.1 | $1.25 | 1.1M |
| SAP AI Core | †$1 | $6 | $0.1 | — | 1.1M |
| Vivgrid | $1 | $6 | $0.1 | $1.25 | 1.1M |
| ZenMux | †$1 | $6 | $0.1 | $1.25 | 1.1M |
| Kenarifree | free | free | — | — | 1.1M |
Subscription plans (not per-token)
Billed per month, not per token — never counted as the cheapest offer.
| GitHub Copilotplan | $0.2 | $1.2 | 1.1M |
GPT-5.6 Luna pricing FAQ
What is the cheapest GPT-5.6 Luna API?
As of Oct 4, 2026, Bothub has the lowest GPT-5.6 Luna output price at $0.37 per 1M tokens, and Bothub has the lowest input price at $0.06 per 1M tokens. Prices are metered per-token rates in USD; free tiers and subscription plans are excluded.
How much does GPT-5.6 Luna cost on OpenAI?
OpenAI charges $0.2 per 1M input tokens and $1.2 per 1M output tokens for GPT-5.6 Luna.
How many providers offer GPT-5.6 Luna?
39 providers list GPT-5.6 Luna on Sovyron; 42 of them sell it at a metered per-token price.
Is GPT-5.6 Luna free?
1 provider(s) list a free-tier offer: Kenari. Free tiers usually have rate limits.
Is GPT-5.6 Luna included in a subscription plan?
Yes. 3 flat-rate plan(s) include it; the cheapest is GitHub Copilot Pro at $10/month.
What is the context window of GPT-5.6 Luna?
GPT-5.6 Luna supports a 1.1M-token context window and up to 128k output tokens.
Token cost calculator
What a month costs at one provider's published rates. Enter the tokens you expect to send and receive; cached tokens use the cached-input price where the provider lists one, and count as ordinary input where it does not.
Estimated
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