AlibabaChina· released Feb 2026
Provisional: 7 comparable tests so far. Ranked once it reaches 6 across 3 counting categories.
Alibaba, China. One of 19 models from this lab on the Index.
Snapshot September 8, 2026
OpenCharts Index
39.5
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 31.2 and 47.4.
Needs more results (1 of 8 so far)
Averaging 19.5 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 Vending-Bench 2, 100.0% behind the best published result. No comparable results yet in 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.
84.4%
84.4% of the best (100.0%) · #57 of 78.
Olympiad-style problems need long, careful chains of reasoning, and there is no partial credit.
Where it trails
Run a simulated vending business for a year: ordering, pricing and cash flow. The score is the final balance.
$463
100.0% behind the best published result ($11,182) on a log scale · #44 of 53.
Long-horizon decisions whose consequences compound. It exposes models that drift or forget.
Not measured yet
No comparable result yet in these 2 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.
Reasoning · mean 81.0 across 1 comparable test · not counted toward the Index yet (fewer than half the category's tests)
Answer a PhD-level multiple-choice question in physics, chemistry or biology that a web search will not settle.
82.3%
81.0% of the best (95.8%), above chance
#64 of 78 · n = 198
Frontier models cluster in the eighties and nineties; Epoch's standard errors on this test are 2 to 3 points.
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.
Qwen3.5 Flash
provisional·Index 39.5F
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.
82.3%
81.0% of the best (95.8%), above chance
16th percentile of 78 · n = 198
20.3%
26.9% of the best (75.6%)
11th percentile of 57 · n = 1,000
1,238
4% expected win rate against the board leader (1,797)
5th percentile of 86
board 2026-09-05
Source: Arena (LMArena) — Leaderboard Dataset84.4%
84.4% of the best (100.0%)
25th percentile of 78 · n = 45
18.2%
19.5% of the best (93.7%)
2th percentile of 61 · n = 290
none
Source: Epoch AI — AI Benchmarking Hub$463
0.0% of the best ($11,182) on a log scale
0th percentile of 53
1,397
35% expected win rate against the board leader (1,507)
9th 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.