Thinking MachinesUnited States· released Nov 2026
Provisional: 6 comparable tests so far. Ranked once it reaches 6 across 2 counting categories.
Thinking Machines, United States. One of 3 models from this lab on the Index.
Snapshot November 10, 2026
OpenCharts Index
70.7
Provisional: not enough comparable tests or counting categories to rank yet · 6 comparable tests · 0 counting categories
Drop any single test and the Index lands between 67.8 and 75.7.
Needs more results (1 of 5 so far)
Averaging 86.0 on the 1 it has; the score opens at 4 of 5.
Distance to today's frontier on the hardest tests. Not a measure of intelligence.
What it's known for
Its widest gap is on Code Arena (WebDev), 45.0% behind the best published result. No comparable results yet in knowledge, math and multimodal. Between 25% and 30% behind 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 the original Abstraction and Reasoning Corpus: small grids, a handful of examples, one hidden rule.
96.5%
98.0% of the best (98.5%) · #12 of 67.
The first ARC set is close to saturated at the frontier, so it now shows whether smaller models can generalize at all.
Where it trails
Build a web app from the same prompt as a rival model; real users vote blind on the result.
1,649
45.0 points short of parity with the board leader (1,818) · #17 of 110.
People judging finished apps side by side is the most honest measure of front-end quality.
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.
Reasoning · mean 92.0 across 2 comparable tests · not counted toward the Index yet (fewer than half the category's tests)
Solve the original Abstraction and Reasoning Corpus: small grids, a handful of examples, one hidden rule.
96.5%
98.0% of the best (98.5%)
#12 of 67 · n = 100
xhigh
Close to saturated at the frontier; scores depend on the compute budget a lab chose.
Source: ARC Prize FoundationInfer the hidden rule from a few input and output grid pairs, then apply it to a new grid.
81.7%
86.0% of the best (95.0%)
#19 of 67 · n = 120
xhigh
Scores depend on the compute budget a lab chose; ARC Prize publishes cost per task beside every score and this ranking does not.
Source: ARC Prize FoundationEvery 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.
Inkling 2 Small
provisional·Index 70.7B-
0 : 6
wins · 0 ties · 6 shared
GPT-6 Astra
#1·Index 93.7A
GPT-6 Astra comes out ahead on 6 of the 6 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, and so is an archived test: one whose publisher no longer covers new models.
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.
81.7%
86.0% of the best (95.0%)
73th percentile of 67 · n = 120
xhigh
Source: Epoch AI — AI Benchmarking Hub96.5%
98.0% of the best (98.5%)
79th percentile of 67 · n = 100
xhigh
Source: Epoch AI — AI Benchmarking Hub52.3%
78.2% of the best (66.9%)
54th percentile of 96 · n = 338
1,649
28% expected win rate against the board leader (1,818)
85th percentile of 110
board 2026-11-09
Source: Arena (LMArena) — Leaderboard Dataset46.8%
55.6% of the best (84.2%)
33th percentile of 58
1,412
34% expected win rate against the board leader (1,526)
13th percentile of 113
board 2026-11-09
Source: Arena (LMArena) — Leaderboard DatasetTop of the leaderboard
29 of the models on this page run inside Theo today. Theo picks the right one for each step and always shows which engine answered.