OpenAI
partialShows if the model has enough results for an index.o3-pro
o3-pro is a reasoning model from OpenAI in the o3 family. 4 benchmarks count toward its score, in 2 categories.
IndexOverall score out of 100.Unranked
CoverageShare of the index weight with results.30%
SpeedOutput tokens per second.4/s
Input / 1MUS dollars per 1M input tokens.$20
Output / 1MUS dollars per 1M output tokens.$80
ContextMaximum tokens in one request.200K
EloLMArena rating and rank.N/A
The index is a score out of 100. The ± range shows how much it can change.
CapabilitiesScore per category, out of 100.
Out of 100Results
4 counted| BenchmarkThe test name. | CategoryThe capability that the test measures. | ResultThe score from the publisher. | IndexThis result as a score out of 100. | RunThe settings of the run. | DateDate of the result. | Published byThe source of the result. |
|---|---|---|---|---|---|---|
| Artificial Analysis GPQA Diamond | Knowledge | 84.5% | 55.2 | — | — | Artificial Analysis |
| ARC-AGI-1 (semi-private) | Reasoning | 59.3% | 55.2 | high effort | — | ARC Prize Foundation |
| Artificial Analysis Intelligence Index | Knowledge | 21.9% | 49.7 | — | — | Artificial Analysis |
| ARC-AGI-2 (semi-private) | Reasoning | 4.9% | 42.2 | high effort | — | ARC Prize Foundation |
4 benchmarks count, from 4 of 4 results. A grey row does not count. Too few models took that benchmark.