TL;DRGPT-6 Luna by OpenAI scores 66.51 overall, costs $0.10 per 1M input tokens and $0.50 per 1M output tokens, and carries a context window of 1.05M tokens — observed 2026-10-23.
Canonical idgpt-6-luna
Context window1.05M tokens Access typeProprietary
Blended $/1M$0.2075% input / 25% output
Capability shape
Seven axes from the ranking source. A missing axis is drawn as a gap.
Capability evidence
Multimodal & Grounded81.9 Instruction FollowingUnavailable Runtime service evidence
Measured values with the date they were observed. Nothing is inferred from a sibling model or a provider claim.
Time to first token: latency to the first answer chunk (Artificial Analysis, via BenchLM). Reasoning models include thinking time, so values can run to tens or hundreds of seconds.
Evidence key: ObservedUnavailable
Runtime measurements| Measurement | Value | Observed | Last good | Evidence |
|---|
| Time to first token | Unavailable | Unavailable | Unavailable | |
| Throughput | 58 tok/s | 2026-10-23 | 2026-10-23 | |
Regional or per-endpoint measurements appear only when the API supplies them; none are modelled here.
Endpoint and price matrix
Every published price component, including cache reads and writes.
Price components| Component | USD | Evidence |
|---|
| Input / 1M tokens | $0.10 | |
| Output / 1M tokens | $0.50 | |
| Cache read / 1M tokens | $0.01 | |
| Cache write / 1M tokens | $0.13 | |
| Blended / 1M (75% input / 25% output) | $0.20 | |
| Cost per successful task (LiveBench) | Unavailable | |
Self-hosted listingOpenAI's GPT-6 Luna model page lists $0.10 input / $0.01 cached input / $0.125 cache writes / $0.50 output per million tokens. Prompts above 272K input tokens are charged at 2x input and cache rates and 1.5x output for the full request; regional processing adds 10% where available; Batch and Flex are 50% of Standard and Fast mode is 2x.The rates above are a hosted price matched from another provider, not a first-party list price.
Workload-aware monthly cost example
10 conversations per day × 8 messages × 22 active days, 1200 input and 400 output tokens per message, no cache. This uses the same calculator as the cost simulator, so an unavailable applicable rate makes the example unavailable too.
Modelled monthly cost$0.56
Modelled tokens2.82M
Benchmark record
38 matched benchmark rows with their published value, unit, and provenance.
Lifecycle and limitations log
Lifecycle events the source associates with this model, plus what this profile does not claim.
What this profile does not claimValues are reproduced exactly as their sources published them, in the units those sources declared; none are converted, interpolated, or averaged across providers. Any field marked unavailable was attempted and not returned — the attempt timestamp is in each badge. Last attempted fetch for this model’s score: 2026-10-23 13:17 UTC.
ModelScale