Model
GPT-5.6 Luna NO.09
The fast, cost-efficient GPT-5.6 tier for everyday work at scale.
OpenAI · GPT · Fast · Closed weights
Specification
11 fields
Fig.01 — GPT — OpenAI
USA
- Context window
- 1.1Mtokens
- Max output
- 128Ktokens
- Input price
- $1/ 1M
- Output price
- $6/ 1M
- Cached input
- $0.10/ 1M
- Throughput
- —
- Class
- Fast
- Modalities
- Text, Image, Pdf
- Weights
- Closed
- Knowledge cutoff
- Feb 2026
- Released
- Jul 2026
Overview
GPT-5.6 Luna is the fastest and most cost-efficient member of the GPT-5.6 family, built for responsive everyday work — summarization, drafting, and routine automation — where throughput and cost matter more than maximum depth. Despite its low $1/$6 pricing it is remarkably capable: on Artificial Analysis' Coding Agent Index (74.6) it edges Claude Opus 4.8 at roughly a quarter of the cost. It keeps the family's ~1.05M-token context, 128K output, and February-2026 knowledge, and replaces the old mini/nano split with a single strong, cheap model.
Strengths
- Lowest GPT-5.6 price ($1/$6) with strong quality
- Surprising agentic-coding value (Coding Agent Index 74.6)
- Fast, low-latency responses at scale
- ~1.05M-token context with multimodal input
- Cheap, predictable prompt caching
Trade-offs
- Not a substitute for Sol on hard long-horizon coding
- Pricier than the older GPT-5.4 nano/mini for bulk work
- No native audio or video input
Fit
Best for
- High-volume summarization and drafting
- Routine automation and everyday assistants
- Cost-sensitive coding and tool use
- Latency-sensitive production traffic
Not ideal for
- Hardest autonomous coding runs (use Sol)
- Rock-bottom bulk classification (GPT-5.4 nano is cheaper)
Capabilities
Normalized 0—100
Ten axes, normalized 0–100 and scored the same way across the whole catalog — so a 78 here means what a 78 means anywhere else on the bench.
Fig.02 — Capability radar
0 — 100
- Reasoning
- 86
- Coding
- 86
- Math
- 85
- Writing
- 85
- Knowledge
- 86
- Speed
- 86
- Agentic
- 84
- Vision
- 84
- Multilingual
- 87
- Long Context
- 88
Benchmarks
02 results
Public results, with independent third-party runs marked. Bars normalize percentages against 100 and Elo ratings against a 1500 ceiling.
Independent index
Artificial Analysis Intelligence Index
Composite of ~9–10 independent evals · Artificial Analysis
51/ 100
- Artificial Analysis Intelligence IndexIndependentGeneral · Artificial Analysis
- 51%
- SWE-bench ProIndependentCoding · SWE-bench Pro
- 62.7%
Alternatives
03 comparable
Models in roughly the same class — the ones worth weighing against this record.
Index
Record 09 of 41