Answer the same prompt as a rival model; real users vote blind on which answer they prefer.
1,443
41% expected win rate against the board leader (1,507)
#54 of 92
board 2026-09-02
Source: ArenaxAIUnited States· released Apr 2026
Provisional: 13 comparable tests so far. Ranked once it reaches 6 across 3 counting categories.
xAI, United States. One of 8 models from this lab on the Index.

Available in Theo as Theo Velocity
Theo orchestrates it for the steps it does best and always shows which engine answered.
Snapshot September 8, 2026
OpenCharts Index
41.3
Provisional: not enough comparable tests or counting categories to rank yet · 13 comparable tests · 1 counting categories
Drop any single test and the Index lands between 23.9 and 51.3.
Needs more results (2 of 8 so far)
Averaging 30.4 on the 2 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 math (41.3). Its widest gap is on Vending-Bench 2, 100.0% behind the best published result. No comparable result yet in long context. Between 50% and 60% behind the best published results, on average.
Strongest category
Math
Competition and research mathematics, graded on the final answer or the proof.
41.3
Mean of 4 of the category's 5 comparable tests. Counts toward the Index.
Best single result
Solve competition mathematics problems that have a single exact integer answer.
93.3%
93.3% of the best (100.0%) · #29 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.
$35
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 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 81.7 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.
1,443
41% expected win rate against the board leader (1,507)
#54 of 92
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.
Grok 4.3
provisional·Index 41.3D
0 : 10
wins · 0 ties · 10 shared
GPT-6 Astra
#1·Index 99.0A+
GPT-6 Astra comes out ahead on 10 of the 10 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.
88.8%
90.2% of the best (95.8%), above chance
56th percentile of 78 · n = 198
high
Source: Epoch AI — AI Benchmarking Hub8.0%
24.8% of the best (32.3%)
48th percentile of 78
high
Source: Epoch AI — AI Benchmarking Hub33.2%
43.9% of the best (75.6%)
23th percentile of 57 · n = 1,000
high
Source: Epoch AI — AI Benchmarking Hub47.3%
76.3% of the best (62.0%)
50th percentile of 73 · n = 338
high
Source: Epoch AI — AI Benchmarking Hub49.9%
53.7% of the best (92.9%)
35th percentile of 69
1,356
7% expected win rate against the board leader (1,797)
19th percentile of 86
board 2026-09-05
Source: Arena (LMArena) — Leaderboard Dataset93.3%
93.3% of the best (100.0%)
60th percentile of 78 · n = 45
high
Source: Epoch AI — AI Benchmarking Hub42.8%
45.7% of the best (93.7%)
32th percentile of 61 · n = 290
high
Source: Epoch AI — AI Benchmarking Hub14.6%
15.0% of the best (97.6%)
24th percentile of 51 · n = 48
high
Source: Epoch AI — AI Benchmarking Hub11.0%
11.0% of the best (100.0%)
20th percentile of 61
high · reasoning effort: high
Source: Epoch AI — AI Benchmarking Hub$35
0.0% of the best ($11,182) on a log scale
0th percentile of 53
1,241
40% expected win rate against the board leader (1,313)
28th percentile of 54
board 2026-08-27
Source: Arena (LMArena) — Leaderboard Dataset1,443
41% expected win rate against the board leader (1,507)
41th 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.