OpenAI
availableShows if the model has enough results for an index.GPT-6 Luna
GPT-6 Luna is a reasoning model from OpenAI in the GPT-6 family. 12 benchmarks count toward its score, in 5 categories.
IndexOverall score. 50 is the middle.68.4 ±6.7
CoverageShare of the index weight with results.80%
SpeedOutput tokens per second.—
Input / 1MUS dollars per 1M input tokens.$0.1
Output / 1MUS dollars per 1M output tokens.$0.5
ContextMaximum tokens in one request.1.05M
EloLMArena rating and rank.N/A
50 is the middle of the board. The range shows the doubt in the index.
CapabilitiesScore per category. 50 is the middle.
50 is the middleResults
12 counted| BenchmarkThe test name. | CategoryThe capability that the test measures. | ResultThe score from the publisher. | IndexThis result on the index scale. | RunThe settings of the run. | DateDate of the result. | Published byThe source of the result. |
|---|---|---|---|---|---|---|
| Artificial Analysis Long Context Reasoning | Reasoning | 83.3% | 65.9 | — | — | Artificial Analysis |
| Artificial Analysis MMMU-Pro | Multimodal | 75.5% | 59.4 | — | — | Artificial Analysis |
| DeepSWE | Agentic | 66.6% | 72.2 | — | — | Datacurve AI |
| HealthBench Professional raw score | Knowledge | 61.2% | — | — | — | Anthropic |
| HealthBench Professional | Knowledge | 60.8% | — | — | — | Rebecca Soskin Hicks et al. |
| Artificial Analysis SciCode | Coding | 54.6% | 68.6 | — | — | Artificial Analysis |
| HealthBench length-adjusted score | Knowledge | 54.5% | — | — | — | Anthropic |
| HealthBench raw score | Knowledge | 50.0% | — | — | — | Anthropic |
| Artificial Analysis Omniscience Accuracy | Knowledge | 43.8% | 68.1 | — | — | Artificial Analysis |
| GDPval-AA normalized | Agentic | 43.4% | 68.9 | — | — | Artificial Analysis |
| Artificial Analysis Humanity's Last Exam | Knowledge | 38.5% | 66.3 | — | — | Artificial Analysis |
| Artificial Analysis Intelligence Index | Knowledge | 37.3% | 69.0 | — | — | Artificial Analysis |
| HealthBench Hard | Knowledge | 31.4% | 71.5 | — | — | Meta AI |
| Artificial Analysis GDP.pdf | Agentic | 20.4% | 71.5 | — | — | Artificial Analysis |
| Critical Physics Tasks | Reasoning | 19.4% | 79.1 | — | — | Artificial Analysis |
| ExploitGym | Agentic | 11.6% | 69.6 | — | — | Zhun Wang et al. |
12 benchmarks count, from 12 of 16 results. A grey row does not count. Too few models took that benchmark.