OpenAIUnited States· released Aug 2025· open weights
Provisional: 7 comparable tests so far. Ranked once it reaches 6 across 3 counting categories.
OpenAI, United States. One of 26 models from this lab on the Index.
Snapshot September 8, 2026
OpenCharts Index
39.4
Provisional: not enough comparable tests or counting categories to rank yet · 7 comparable tests · 0 counting categories
Drop any single test and the Index lands between 32.9 and 48.2.
Needs more results (1 of 8 so far)
Averaging 4.0 on the 1 it has; the score opens at 4 of 8.
Distance to today's frontier on the hardest tests. Not a measure of intelligence.
What it's known for
Its widest gap is on Terminal-Bench, 96.0% behind the best published result. No comparable results yet in knowledge, multimodal and long context. Below 40% of the best published results, on average.
Strongest category
No category counts yet: a category counts once it has more than one comparable test and the model has taken at least half of them. The scores it has are below.
Best single result
Solve competition mathematics problems that have a single exact integer answer.
65.3%
65.3% of the best (100.0%) · #77 of 78.
Olympiad-style problems need long, careful chains of reasoning, and there is no partial credit.
Where it trails
Complete a real task inside a terminal, such as setting up a service, fixing a build or wrangling data, verified by tests.
3.4%
96.0% behind the best published result (84.7%) · #40 of 40.
The terminal is where agents do real operations work. This shows whether one can be left alone with a shell.
Not measured yet
No comparable result yet in these 3 categories. A blank is a blank, never a zero, and it does not lower the Index.
Covered, but not averaged into the Index:
See it at work
Every test it has taken, by category, with the kind of task it faced, who produced the number and where the result landed against the best published one. The examples are original and illustrative, never items from the datasets themselves.
Math · mean 65.3 across 1 comparable test · not counted toward the Index yet (fewer than half the category's tests)
Solve competition mathematics problems that have a single exact integer answer.
65.3%
65.3% of the best (100.0%)
#77 of 78 · n = 45
medium
45 problems: one problem is 2.2 points, so gaps of a few points are within noise.
Source: Epoch AI (internal runs)Every result is read against the best published one on its test: percent scores as a share of the best above chance, Arena ratings as the expected win rate against the board leader, open-ended values on a log scale. Sitting a harder exam never lowers a model. Every number links to the publisher that produced it.
Head to head
Choose a rival. Every counted test both have taken appears side by side as a share of the best published result on that test, with the category means above. A win is a higher share; a gap under 2 points is a tie, because one item on a 45-problem exam is 2.2 points and publishers' own standard errors are of that order.
GPT-OSS 20B
provisional·Index 39.4F
0 : 5
wins · 0 ties · 5 shared
GPT-6 Astra
#1·Index 99.0A+
GPT-6 Astra comes out ahead on 5 of the 5 tests both have taken.
Category means
Reasoning
Knowledge
Coding
Math
Agentic
Human preference
Shared tests · biggest gaps first
Bars are distances to the best published result on each test (percent scores above chance, Arena ratings as win rate against the leader, open-ended values on a log scale). Raw values as the publishers report them.
Open GPT-6 AstraScores
The best published run per benchmark, the raw value as the publisher reports it, who produced the number, how close it comes to the best published result on that test, and where the model sits among every model scored on it. Percent scores are read above chance, Arena ratings as a win rate against the board leader, open-ended values on a log scale. A test with too few models to compare against is shown but not counted.
Category means
Mean · tests taken of the category's comparable tests. A faded category either rests on fewer than half of them or is a single-test category (marked “beside”), which is shown next to the Index and never averaged into it.
60.8%
50.6% of the best (95.8%), above chance
0th percentile of 78 · n = 198
medium
Source: Epoch AI — AI Benchmarking Hub1.4%
4.4% of the best (32.3%)
23th percentile of 78
high
Source: Epoch AI — AI Benchmarking Hub34.4%
55.4% of the best (62.0%)
3th percentile of 73 · n = 338
high
Source: Epoch AI — AI Benchmarking Hub40.9%
44.1% of the best (92.9%)
12th percentile of 69
high
Source: Epoch AI — AI Benchmarking Hub65.3%
65.3% of the best (100.0%)
1th percentile of 78 · n = 45
medium
Source: Epoch AI — AI Benchmarking Hub3.4%
4.0% of the best (84.7%)
0th percentile of 40
agent: Mini-SWE-Agent
Source: Epoch AI — AI Benchmarking Hub1,317
25% expected win rate against the board leader (1,507)
0th percentile of 92
board 2026-09-02
Source: Arena (LMArena) — Leaderboard DatasetTop of the leaderboard
28 of the models on this page run inside Theo today. Theo picks the right one for each step and always shows which engine answered.