Answer the same prompt as a rival model; real users vote blind on which answer they prefer.
1,479
46% expected win rate against the board leader (1,507)
#20 of 92
high · board 2026-09-02
Source: ArenaGoogleUnited States· released May 2026
Ranked #18, 31.8% behind the frontier on average.
Google, United States. One of 14 models from this lab on the Index.
Snapshot September 8, 2026
OpenCharts Index
68.2
Ranked #18 (17 to 22) of 36 · 31.8% behind the frontier on average · 18 comparable tests · 3 counting categories
Drop any single test and the Index lands between 63.7 and 71.5, anywhere from #17 to #22. Neighbours inside that range are ties.
4 of 8 hardest tests · share of the frontier
Distance to today's frontier on the hardest tests. Not a measure of intelligence.
What it's known for
Strongest in reasoning (80.0) and coding (69.3). It trails the frontier most in math, 44.7% behind on average. No comparable result yet in long context. Between 30% and 35% behind the best published results, on average. Drop any single test and it would sit anywhere from #17 to #22.
Strongest category
Reasoning
Hard, novel problems: graduate science, abstract puzzles, expert exams.
80.0
Mean of 5 of the category's 6 comparable tests. Counts toward the Index.
Best single result
Answer a PhD-level multiple-choice question in physics, chemistry or biology that a web search will not settle.
92.8%
95.8% of the best (95.8%), above chance · #13 of 78.
Expert-level science questions are the closest thing to asking a specialist colleague. A model that gets them right can check a technical claim instead of echoing it.
Where it trails
Solve the hardest FrontierMath tier: problems that take expert mathematicians days.
26.8%
72.5% behind the best published result (97.6%) · #25 of 51.
The deepest end of the set. Progress here signals genuinely new capability.
Not measured yet
No comparable result yet in this category. 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 92.0 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.
1,479
46% expected win rate against the board leader (1,507)
#20 of 92
high · 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.
Gemini 3.5 Flash
#18·Index 68.2C+
0 : 12
wins · 0 ties · 12 shared
GPT-6 Astra
#1·Index 99.0A+
GPT-6 Astra comes out ahead on 12 of the 12 tests both have taken.
Category means
Reasoning
Knowledge
Coding
Math
Agentic
Multimodal
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.
92.8%
95.8% of the best (95.8%), above chance
84th percentile of 78 · n = 198
high
Source: Epoch AI — AI Benchmarking Hub72.1%
75.9% of the best (95.0%)
70th percentile of 51 · n = 120
high
Source: Epoch AI — AI Benchmarking Hub92.5%
93.9% of the best (98.5%)
66th percentile of 51 · n = 100
high
Source: Epoch AI — AI Benchmarking Hub76.7%
93.7% of the best (81.9%)
91th percentile of 46
13.1%
40.7% of the best (32.3%)
62th percentile of 78
high
Source: Epoch AI — AI Benchmarking Hub66.2%
87.6% of the best (75.6%)
86th percentile of 57 · n = 1,000
high
Source: Epoch AI — AI Benchmarking Hub79.3%
95.0% of the best (83.5%)
96th percentile of 26 · n = 500
high
Source: Epoch AI — AI Benchmarking Hub53.1%
85.6% of the best (62.0%)
71th percentile of 73 · n = 338
high
Source: Epoch AI — AI Benchmarking Hub62.6%
67.4% of the best (92.9%)
63th percentile of 69
high
Source: Epoch AI — AI Benchmarking Hub49.8%
67.8% of the best (73.4%)
20th percentile of 21
1,500
15% expected win rate against the board leader (1,797)
60th percentile of 86
high · board 2026-09-05
Source: Arena (LMArena) — Leaderboard Dataset95.6%
95.6% of the best (100.0%)
71th percentile of 78 · n = 45
high
Source: Epoch AI — AI Benchmarking Hub62.8%
67.0% of the best (93.7%)
60th percentile of 61 · n = 290
high
Source: Epoch AI — AI Benchmarking Hub26.8%
27.5% of the best (97.6%)
46th percentile of 51 · n = 48
high
Source: Epoch AI — AI Benchmarking Hub31.0%
31.0% of the best (100.0%)
53th percentile of 61
high · reasoning effort: high
Source: Epoch AI — AI Benchmarking Hub$5,396
76.6% of the best ($11,182) on a log scale
62th percentile of 53
1,284
46% expected win rate against the board leader (1,313)
79th percentile of 54
high · board 2026-08-27
Source: Arena (LMArena) — Leaderboard Dataset1,479
46% expected win rate against the board leader (1,507)
79th percentile of 92
high · 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.