Answer the same prompt as a rival model; real users vote blind on which answer they prefer.
1,489
47% expected win rate against the board leader (1,507)
#10 of 92
max · board 2026-09-02
Source: ArenaMoonshot AIChina· released Jul 2026· open weights
Ranked #8, 20.4% behind the frontier on average.
Moonshot AI, China. One of 5 models from this lab on the Index.

Available in Theo as Theo Open Max
Theo orchestrates it for the steps it does best and always shows which engine answered.
Snapshot September 8, 2026
OpenCharts Index
79.6
Ranked #8 (6 to 10) of 36 · 20.4% behind the frontier on average · 18 comparable tests · 3 counting categories
Drop any single test and the Index lands between 77.2 and 83.5, anywhere from #6 to #10. Neighbours inside that range are ties.
Needs more results (3 of 8 so far)
Averaging 60.2 on the 3 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
Strongest in coding (83.0) and reasoning (80.5). It trails the frontier most in math, 24.7% behind on average. No comparable results yet in multimodal and long context. Between 20% and 25% behind the best published results, on average. Drop any single test and it would sit anywhere from #6 to #10.
Strongest category
Coding
Writing, fixing and shipping real code, judged by tests or users.
83.0
Mean of 5 of the category's 7 comparable tests. Counts toward the Index.
Best single result
Solve competition mathematics problems that have a single exact integer answer.
97.2%
97.2% of the best (100.0%) · #15 of 78.
Olympiad-style problems need long, careful chains of reasoning, and there is no partial credit.
Where it trails
Solve the hardest FrontierMath tier: problems that take expert mathematicians days.
39.0%
60.0% behind the best published result (97.6%) · #16 of 51.
The deepest end of the set. Progress here signals genuinely new capability.
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.
Human preference · mean 94.7 across 1 comparable test · a single-test category, shown beside the Index and never averaged into it
Answer the same prompt as a rival model; real users vote blind on which answer they prefer.
1,489
47% expected win rate against the board leader (1,507)
#10 of 92
max · board 2026-09-02
Source: ArenaEvery 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.
Kimi K3
#8·Index 79.6B
1 : 13
wins · 0 ties · 14 shared
GPT-6 Astra
#1·Index 99.0A+
GPT-6 Astra comes out ahead on 13 of the 14 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.
93.1%
96.3% of the best (95.8%), above chance
86th percentile of 78 · n = 198
max
Source: Epoch AI — AI Benchmarking Hub60.4%
63.6% of the best (95.0%)
54th percentile of 51 · n = 120
max
Source: Epoch AI — AI Benchmarking Hub94.5%
95.9% of the best (98.5%)
76th percentile of 51 · n = 100
max
Source: Epoch AI — AI Benchmarking Hub60.7%
74.1% of the best (81.9%)
51th percentile of 46
max
Source: Epoch AI — AI Benchmarking Hub23.4%
72.4% of the best (32.3%)
86th percentile of 78
max
Source: Epoch AI — AI Benchmarking Hub50.6%
66.9% of the best (75.6%)
68th percentile of 57 · n = 1,000
max
Source: Epoch AI — AI Benchmarking Hub58.7%
94.6% of the best (62.0%)
96th percentile of 73 · n = 338
82.6%
88.9% of the best (92.9%)
88th percentile of 69
max
Source: Epoch AI — AI Benchmarking Hub44.2%
82.6% of the best (53.5%)
73th percentile of 27
harness: mini-swe-agent · reasoning effort: none
Source: Epoch AI — AI Benchmarking Hub60.8%
82.8% of the best (73.4%)
40th percentile of 21
max · reasoning level: Max
Source: Epoch AI — AI Benchmarking Hub1,674
33% expected win rate against the board leader (1,797)
95th percentile of 86
max · board 2026-09-05
Source: Arena (LMArena) — Leaderboard Dataset97.2%
97.2% of the best (100.0%)
81th percentile of 78 · n = 45
max
Source: Epoch AI — AI Benchmarking Hub72.2%
77.0% of the best (93.7%)
77th percentile of 61 · n = 290
max
Source: Epoch AI — AI Benchmarking Hub39.0%
40.0% of the best (97.6%)
70th percentile of 51 · n = 48
max
Source: Epoch AI — AI Benchmarking Hub87.0%
87.0% of the best (100.0%)
93th percentile of 61
39.3%
82.9% of the best (47.4%)
81th percentile of 49
$5,165
75.1% of the best ($11,182) on a log scale
60th percentile of 53
1,489
47% expected win rate against the board leader (1,507)
90th percentile of 92
max · board 2026-09-02
Source: Arena (LMArena) — Leaderboard DatasetNearby on 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.