OpenAI: GPT-5.6 Luna
by OpenAIOpenAI: GPT-5.6 Luna is a large language model from OpenAI. It costs $0.200 per million input tokens and $1.20 per million output tokens. Its context window is 1.1M tokens.
- Input / 1M tokens
- $0.200
- Output / 1M tokens
- $1.20
- Cached input / 1M
- $0.020
- Context window
- 1.1M
On repeated prefixes
tokens
This model also charges $0.01 per search request
That is $10.00 per 1,000 requests, billed on top of the token prices above. On a typical 1,000-in / 500-out exchange the tokens cost $0.0008, so the search fee is 13× the token cost. Per-token rankings elsewhere ignore this entirely.
Who serves it cheapest
3 hosts serve GPT-5.6 Luna. Same weights, same API - the price difference is pure margin and routing.
| Provider | Input / 1M | Output / 1M | Context | Throughput | Uptime 24h |
|---|---|---|---|---|---|
| OpenAICheapest | $0.100 | $0.600 | 1.1M | - | 99.2% |
| Azure | $0.200 | $1.20 | 1.1M | - | 100.0% |
| Amazon Bedrock | $0.220 | $1.32 | 1.1M | - | 99.9% |
The spread between OpenAI and Amazon Bedrock is 2.2× for identical weights. Quantization and context limits differ, so check both columns before switching.
Benchmarks
Independent scores published alongside the catalogue.
- Coding index
- 71.4
- Agentic index
- 42.1
About GPT-5.6 Luna
GPT-5.6 Luna is a fast, cost-efficient model in OpenAI's GPT-5.6 series. It is suited for high-volume, latency-sensitive tasks such as chat, classification, and lightweight agentic workflows, providing capable reasoning for...
Specifications
| Model ID | openai/gpt-5.6-luna |
|---|---|
| Provider | OpenAI |
| Context window | 1.1M tokens |
| Max output | 128K tokens |
| Input modalities | file, image, text |
| Output modalities | text |
| Knowledge cutoff | 2026-02-16 |
| Open weights | No |
| Released | July 9, 2026 |
Cheaper alternatives
Models that cost less than GPT-5.6 Luna while keeping at least half its context window and every input modality it supports.
Frequently asked
How much does OpenAI: GPT-5.6 Luna cost?
$0.200 per million input tokens and $1.20 per million output tokens. Cached input reads cost $0.020 per million tokens.
What is the context window of OpenAI: GPT-5.6 Luna?
1.1M tokens, with up to 128K tokens of output per request.
Does OpenAI: GPT-5.6 Luna have extra fees beyond per-token pricing?
Yes. OpenAI: GPT-5.6 Luna charges $0.01 per search request - $10.00 per 1,000 requests - on top of $0.200 per million input tokens and $1.20 per million output tokens. On a typical 1,000-input / 500-output exchange the search fee alone is 13× the token cost.
Which provider serves OpenAI: GPT-5.6 Luna cheapest?
OpenAI at $0.100 per million input tokens - 2.2× cheaper than Amazon Bedrock, the most expensive of the 3 hosts serving it.
Confirm against the source: OpenAI official pricing.