OpenAI·openai/gpt-5.6-luna
GPT-5.6 Luna is ModelCap current-board rank #27 with Index 72.6 (Measured), from the ModelCap Index as of 22 Sept 2026, 02:49 UTC.
GPT-5.6 Luna listed OpenRouter input price is $0.20 per 1M tokens and listed output price is $1.20 per 1M tokens, from OpenRouter listed prices as of 22 Sept 2026, 02:49 UTC.
GPT-5.6 Luna has a published context limit of 1M tokens in the ModelCap catalogue as of 22 Sept 2026, 02:49 UTC.
GPT-5.6 Luna has 7 published OpenRouter serving endpoints, from OpenRouter as of 22 Sept 2026, 02:49 UTC.
GPT-5.6 Luna weight access is api only, from ModelCap classification of published repository metadata as of 22 Sept 2026, 02:49 UTC.
Snapshot facts · download the public dataset · methodology
Published Max, X-High, High and other configurations for this model. These are sourced scores, not head-to-head essays.
BES normalizes admitted public benchmark evidence for measured Index rows. Its legacy score and observables prior do not define the public language rank.
These adoption and deployment observations remain context only. They do not change this model's ModelCap Index score or rank.
The bounded 0–100 capability score blends each source’s competitive placement with its published achievement, then combines capability families. Evidence breadth adds a modest uncertainty adjustment; price and popularity are not part of benchmark-led rank.
Missing: artifactReproducibility.revision-sha, artifactReproducibility.architecture-and-model-type, artifactReproducibility.parameter-count, artifactReproducibility.serialized-weight-format, artifactReproducibility.base-lineage, accessLegalClarity.declared-license, accessLegalClarity.resolvable-license-terms, evaluationProvenance.evaluation-dataset-revisions.
A metadata completeness and deployability index—not a safety certification, quality grade, or production-readiness claim.
Market Gravity uses OpenRouter’s full-catalogue popularity order. Sparse Vercel top-ten observations appear only when published and do not affect the score.
OpenRouter weekly popularity across the full model catalogue.
Independent providers versus the model's open or closed cohort, weighted by uptime.
Hugging Face 30-day downloads for open models; neutral for closed models.
Time since first public availability, on a six-month half-life.
Models within 3 places of #27 on the ModelCap Index.
Index score within 3 points of, or above, this model's, with a lower listed blended price (3:1 input:output).
The same publisher's other current models with a public Index position.
GPT-5.6 Luna holds ModelCap Index position #27 of 248 ranked language models as of 22 September 2026, with an Index score of 72.6 (interval 66.9–78.3); evidence: measured. The Index combines public benchmark boards with published uncertainty; the methodology page explains the weighting.
GPT-5.6 Luna is listed at $0.20 per 1M input tokens and $1.20 per 1M output tokens as of 22 September 2026; the lowest output price among 3 providers is $0.60 on OpenAI. Prices come from the OpenRouter catalogue and re-observe on every refresh. For 1,000 requests using 2,000 input and 500 output tokens each, the listed rates imply $1.00 total (2M input + 0.5M output). This excludes caching, batch discounts, prompt-length tiers, tool charges and retries; verify the chosen endpoint's rate and limits before budgeting.
GPT-5.6 Luna has a published context window of 1M tokens (1,050,000) and a maximum output of 128K tokens. Individual providers can serve less than the published maximum; the providers table lists each endpoint's own limit.
API only. No downloadable model weights are linked in the current source data; access is through a hosted API or product.
3 providers serve GPT-5.6 Luna through OpenRouter as of 22 September 2026: OpenAI, Azure and Amazon Bedrock. Each provider's price, context limit, quantization and measured uptime are in the providers table above.
GPT-5.6 Luna has published results on 7 public boards tracked by ModelCap as of 22 September 2026: Arena coding 1498 (#71 of 397), LMArena Agent -0.4% (#27 of 46), ARC-AGI-2 59.5% (#62 of 214), ARC-AGI-3 0.2% (#31 of 39) and AA Intelligence Index 37.3 (#48 of 151) and more. Each board page ranks every tracked model on that benchmark; the ModelCap Index combines them with published uncertainty.
GPT-5.6 Luna ranks #27 (Index 72.6) and Gemma 4 31B ranks #28 (Index 71.4) on the ModelCap Index as of 22 September 2026. The head-to-head page lines up their benchmarks, listed prices, context windows and provider counts side by side.
GPT-5.6 Luna first appeared in the catalogue on 9 Jul 2026, with a published knowledge cutoff of 2026-02-16. It is the current version in its family. Rank and price movements since then are recorded on the site's changes feed.