gpt-5.6-luna
Public AI IQ model profile with source-backed benchmark results and derived ranking context.
gpt-5.6-luna API pricing — full price table, workload cost examples, and cheaper alternatives.
Release and Capabilities
| Public release | 2026-07-09 |
|---|---|
| Context window | 1,000,000 tokens |
Measured Coverage and Estimates
GPT 5.6 Luna has 29 of 39 tracked IQ benchmark inputs across 7 of 7 dimensions. Raw benchmark tables contain source-backed results only. Derived IQ combines all six dimensions using the shared scoring methodology, including estimates where direct coverage is incomplete.
Among dimensions with direct benchmark coverage, this profile's highest estimated scores are Mathematical Reasoning (IQ 139) and Programmatic Reasoning (IQ 131). These dimension estimates can include statistical adjustments or predecessor priors; they are not raw benchmark percentages or claims of real-world task success.
Benchmark versions, evaluation harnesses, and coverage affect comparisons; a missing result is not a score of zero. See the scoring methodology for estimation and uncertainty limits.
IQ Dimensions
| Dimension | IQ | Coverage |
|---|---|---|
| Abstract Reasoning | 104 | 5/5 |
| Mathematical Reasoning | 139 | 3/5 |
| Academic Reasoning | 130 | 5/6 |
| Programmatic Reasoning | 131 | 4/6 |
| Computer Use | 126 | 3/5 |
| Reliability | 116 | 4/6 |
| Knowledge Work | 126 | 5/6 |
Benchmark Results
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Frequently Asked Questions
- What is the IQ of gpt-5.6-luna?
- gpt-5.6-luna has an estimated IQ of 125, which ranks #26 out of 164 public models on the AI IQ leaderboard. The score combines seven equally weighted reasoning dimensions using measured benchmark results and conservative estimates for missing coverage.
- What is the EQ of gpt-5.6-luna?
- gpt-5.6-luna has an estimated EQ of 105. EQ measures emotional reasoning — how well a model reads and responds to emotional context — and is scored separately from IQ.
- How much does gpt-5.6-luna cost?
- gpt-5.6-luna costs $0.20 per million input tokens and $1.20 per million output tokens. Adjusted for how many tokens it actually consumes on real tasks, its effective cost works out to $1.61 per million input-plus-output tokens.
- Is gpt-5.6-luna open source?
- No — gpt-5.6-luna is a proprietary model. Its weights are not publicly available, so it is used through hosted APIs and products.
- When was gpt-5.6-luna released?
- gpt-5.6-luna was publicly released on July 9, 2026.
- How large is the context window of gpt-5.6-luna?
- gpt-5.6-luna supports a context window of 1,000,000 tokens — the amount of text it can consider in a single request.
- How fast is gpt-5.6-luna?
- In independent measurements, gpt-5.6-luna generates about 120 tokens per second, with a typical response time of about 129 seconds.