All models

xAIUnited States· released Aug 2026

Grok 4.6

Ranked #13, 24.8% behind the frontier on average.

xAI, United States. One of 8 models from this lab on the Index.

Third-party publishedMedium confidence (7+ comparable tests, 3+ Index categories)

Snapshot September 8, 2026

OpenCharts Index

75.2

Ranked #13 (10 to 16) of 36 · 24.8% behind the frontier on average · 17 comparable tests · 3 counting categories

Drop any single test and the Index lands between 71.2 and 78.6, anywhere from #10 to #16. Neighbours inside that range are ties.

HARD SET

Needs more results (3 of 8 so far)

Averaging 57.8 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

Grok 4.6, in 17 results.

Strongest in reasoning (82.1) and coding (80.2). It trails the frontier most in math, 36.7% behind on average. No comparable results yet in multimodal, human preference and long context. Between 20% and 25% behind the best published results, on average. Drop any single test and it would sit anywhere from #10 to #16.

Strongest category

Reasoning

Hard, novel problems: graduate science, abstract puzzles, expert exams.

82.1

Mean of 5 of the category's 6 comparable tests. Counts toward the Index.

Best single result

Mock AIME 2024–2025

Solve competition mathematics problems that have a single exact integer answer.

99.2%

99.2% of the best (100.0%) · #7 of 78.

Olympiad-style problems need long, careful chains of reasoning, and there is no partial credit.

Where it trails

FrontierMath Tier 4

Solve the hardest FrontierMath tier: problems that take expert mathematicians days.

31.7%

67.5% behind the best published result (97.6%) · #19 of 51.

The deepest end of the set. Progress here signals genuinely new capability.

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.

  • Multimodal
  • Human preference
  • Long context

Covered, but not averaged into the Index:

  • Knowledgesingle-test category, shown beside the Index · 65.2
  • Agentic2 of 8 tests · needs 4 · mean 90.1
Every score, with its source

See it at work

What Grok 4.6 was asked to do, and how it did.

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.

Agentic · mean 90.1 across 2 comparable tests · not counted toward the Index yet (fewer than half the category's tests)

Vending-Bench 2Leaderboard

Run a simulated vending business for a year: ordering, pricing and cash flow. The score is the final balance.

$9,047

93.2% of the best ($11,182) on a log scale
#4 of 53

Andon Labs estimates a strong human operator at roughly $63,000, so every model is far from the ceiling.

Source: Andon Labs
APEX-AgentsLeaderboard

Complete professional-services work in consulting, law and finance as an agent, graded against expert rubrics.

41.2%

86.9% of the best (47.4%)
#7 of 49

Source: Mercor

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

Grok 4.6 against whoever you pick.

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 4.6

#13·Index 75.2B

0 : 13

wins · 1 tie · 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

    82.1
    99.6
  • Knowledge

    65.2
    100.0
  • Coding

    80.2
    97.7
  • Math

    63.3
    99.8
  • Agentic

    90.1
    98.5

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 Astra

Scores

Every test, every source

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

  • Reasoning82.1 · 5/6
  • Knowledgebeside65.2 · 1/1
  • Coding80.2 · 5/7
  • Math63.3 · 4/5
  • Agentic90.1 · 2/8
  • Multimodal
  • Human preference
  • Long context

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.

GPQA DiamondEpoch-runReasoning

94.0%

97.5% of the best (95.8%), above chance
94th percentile of 78 · n = 198

high

Source: Epoch AI — AI Benchmarking Hub
ARC-AGI-2LeaderboardReasoning

67.1%

70.6% of the best (95.0%)
66th percentile of 51 · n = 120

xhigh

Source: Epoch AI — AI Benchmarking Hub
ARC-AGI-1LeaderboardReasoning

87.5%

88.8% of the best (98.5%)
52th percentile of 51 · n = 100

medium

Source: Epoch AI — AI Benchmarking Hub
SimpleBenchLeaderboardReasoning

75.9%

92.7% of the best (81.9%)
87th percentile of 46

Source: Epoch AI — AI Benchmarking Hub
CritPtLeaderboardReasoning

19.7%

61.0% of the best (32.3%)
79th percentile of 78

xhigh

Source: Epoch AI — AI Benchmarking Hub
SimpleQA VerifiedEpoch-runKnowledge

49.3%

65.2% of the best (75.6%)
64th percentile of 57 · n = 1,000

high

Source: Epoch AI — AI Benchmarking Hub
SciCodeLeaderboardCoding

54.6%

88.1% of the best (62.0%)
82th percentile of 73 · n = 338

medium

Source: Epoch AI — AI Benchmarking Hub
WeirdMLLeaderboardCoding

67.3%

72.4% of the best (92.9%)
71th percentile of 69

high

Source: Epoch AI — AI Benchmarking Hub
FrontierCodeLeaderboardCoding

48.0%

89.8% of the best (53.5%)
85th percentile of 27

harness: grok-build · reasoning effort: high

Source: Epoch AI — AI Benchmarking Hub
CursorBenchLeaderboardCoding

70.8%

96.5% of the best (73.4%)
95th percentile of 21

xhigh · reasoning level: Extra High

Source: Epoch AI — AI Benchmarking Hub
Code Arena (WebDev)LeaderboardCoding

1,625

27% expected win rate against the board leader (1,797)
92th percentile of 86

high · board 2026-09-05

Source: Arena (LMArena) — Leaderboard Dataset

99.2%

99.2% of the best (100.0%)
92th percentile of 78 · n = 45

xhigh

Source: Epoch AI — AI Benchmarking Hub

66.0%

70.4% of the best (93.7%)
67th percentile of 61 · n = 290

xhigh

Source: Epoch AI — AI Benchmarking Hub
FrontierMath Tier 4Epoch-runMath

31.7%

32.5% of the best (97.6%)
60th percentile of 51 · n = 48

xhigh

Source: Epoch AI — AI Benchmarking Hub
ProofBenchLeaderboardMath

51.0%

51.0% of the best (100.0%)
75th percentile of 61

Source: Epoch AI — AI Benchmarking Hub
APEX-AgentsLeaderboardAgentic

41.2%

86.9% of the best (47.4%)
88th percentile of 49

Source: Epoch AI — AI Benchmarking Hub
Vending-Bench 2LeaderboardAgentic

$9,047

93.2% of the best ($11,182) on a log scale
94th percentile of 53

Source: Epoch AI — AI Benchmarking Hub

Nearby on the leaderboard

Compare with its neighbours.

Theo

The best models, ranked here, working inside Theo.

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.