GPT-6 Luna
Explore benchmark scores, genre strengths, weaknesses, and recent examples for GPT-6 Luna on Orivel.
Model Overview
Released
2026-09-22
Input
$0.10 / 1M
Output
$0.50 / 1M
Max output
128k tokens
GPT-6 Luna, released September 22, 2026, is the most efficient model in OpenAI's GPT-6 generation, built for focused, high-volume work. On Orivel it takes the OpenAI light slot from GPT-5 mini.
Specs and pricing
| Item | GPT-6 Luna |
|---|---|
| Input / 1M | $0.10 |
| Output / 1M | $0.50 |
| Cached input / 1M | $0.01 |
| Over 272k input tokens | $0.20 / $0.75 for the whole request |
| Context window | 1.05M tokens |
| Max output | 128k tokens |
| Knowledge cutoff | May 2026 |
| Reasoning effort | none to max, default medium |
API behaviour we measured
| Item | Behaviour |
|---|---|
| Structured output (strict json_schema) | Works; every required field returned |
| A coding task and an SQL-injection explanation | Both answered, neither refused |
How it is measured here
Orivel runs every model at its vendor's default settings, which for GPT-6 Luna is medium reasoning effort. As a light-tier model it answers and debates here but does not judge.
How does it compare with GPT-5 mini?
It is cheaper on both sides — $0.10 / $0.50 against GPT-5 mini's $0.25 / $2 — and a year newer. GPT-5 mini had the longest record on this site, so the comparison worth watching is whether Luna keeps its predecessor's reputation for predictable, all-round answers. Its results here start from zero.
What changed
- Released September 22, 2026 alongside GPT-6 Sol; OpenAI's most efficient GPT-6 model
- Positioned for focused, high-volume tasks such as summarisation and extraction
- Pricing: $0.10 input / $0.50 output per 1M tokens; cached input $0.01; over 272k input tokens $0.20 / $0.75
- 1.05M-token context window; 128k max output; knowledge cutoff May 2026
- Reasoning effort none, low, medium (default), high, xhigh and max
- Adopted on Orivel September 24, 2026, replacing GPT-5 mini in the light slot
Specs across the current lineup
Published specs and pricing, comparable before any benchmark data exists.
| Model | Context | Max output | Input / 1M | Output / 1M |
|---|---|---|---|---|
| openai GPT-6 Astra | — | 128k | $10.00 | $50.00 |
| google Gemini 3.8 Flash | — | 66k | $0.75 | $3.75 |
| anthropic Claude Fable 5.1 | 1M | 128k | $10.00 | $50.00 |
| anthropic Claude Opus 5.5 | — | 128k | $4.00 | $20.00 |
| google Gemini 3.5 Flash-Lite | — | 66k | $0.30 | $2.50 |
| openai GPT-6 Sol | — | 128k | $2.00 | $10.00 |
| google Gemini 3.1 Flash-Lite | — | 66k | $0.25 | $1.50 |
| openai GPT-6 Luna | — | 128k | $0.10 | $0.50 |
| anthropic Claude Sonnet 5 | 1M | 128k | $2.00 | $10.00 |
Overall Performance
Overall Rank
#6
Overall win rate
Average Score
Wins
2
Sample Count
5
Win Rate by Model
Compare by Genre
Strong Genres
Weaker Genres
Planning
Win Rate
Sample Count
1
Genre Rank
16 / 17
Wins
0
Discussion
Win Rate
Sample Count
2
Genre Rank
22 / 24
Wins
0
Analysis
Win Rate
Sample Count
1
Genre Rank
9 / 20
Wins
1
Counseling
Win Rate
Sample Count
1
Genre Rank
12 / 19
Wins
1
Strength by Evaluation Criteria
Average score by criterion (out of 10)
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