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AnthropicUnited States· released Feb 2026

Claude Sonnet 4.6

Ranked #22, 36.1% behind the frontier on average.

Anthropic, United States. One of 12 models from this lab on the Index.

Third-party publishedMedium confidence (7+ comparable tests, 3+ Index categories)
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Snapshot September 8, 2026

OpenCharts Index

63.9

Ranked #22 (18 to 28) of 36 · 36.1% behind the frontier on average · 20 comparable tests · 3 counting categories

Drop any single test and the Index lands between 61.0 and 69.7, anywhere from #18 to #28. Neighbours inside that range are ties.

HARD SET

Needs more results (3 of 8 so far)

Averaging 72.2 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

Claude Sonnet 4.6, in 20 results.

Strongest in agentic (65.6) and coding (63.8). It trails the frontier most in reasoning, 37.7% behind on average. No comparable result yet in long context. Between 35% and 40% behind the best published results, on average. Drop any single test and it would sit anywhere from #18 to #28.

Strongest category

Agentic

Long-horizon tasks with tools: terminals, desktops, browsers, whole jobs.

65.6

Mean of 5 of the category's 8 comparable tests. Counts toward the Index.

Best single result

DeepResearch Bench

Write a PhD-level research brief with web access, graded on coverage, insight and citations.

54.9%

99.3% of the best (55.3%) · #2 of 19.

A research agent lives or dies on whether its sources are real and its synthesis is right.

Where it trails

CritPt

Solve an unpublished research-level physics problem to a numeric or symbolic answer checked by an official server.

3.1%

90.3% behind the best published result (32.3%) · #50 of 78.

Research physics is far past textbook recall. Only a few models produce anything a physicist would accept.

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.

  • Long context

Covered, but not averaged into the Index:

  • Knowledgesingle-test category, shown beside the Index · 47.0
  • Math2 of 5 tests · needs 3 · mean 65.4
  • Multimodalsingle-test category, shown beside the Index · 89.2
  • Human preferencesingle-test category, shown beside the Index · 90.0
Every score, with its source

See it at work

What Claude Sonnet 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.

Human preference · mean 90.0 across 1 comparable test · a single-test category, shown beside the Index and never averaged into it

Text ArenaLeaderboard

Answer the same prompt as a rival model; real users vote blind on which answer they prefer.

1,472

45% expected win rate against the board leader (1,507)
#28 of 92

board 2026-09-02

Source: Arena

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

Claude Sonnet 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.

Claude Sonnet 4.6

#22·Index 63.9C

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

    62.3
    99.6
  • Knowledge

    47.0
    100.0
  • Coding

    63.8
    97.7
  • Math

    65.4
    99.8
  • Agentic

    65.6
    98.5
  • Multimodal

    89.2
  • Human preference

    90.0

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

  • Reasoning62.3 · 4/6
  • Knowledgebeside47.0 · 1/1
  • Coding63.8 · 6/7
  • Math65.4 · 2/5
  • Agentic65.6 · 5/8
  • Multimodalbeside89.2 · 1/1
  • Human preferencebeside90.0 · 1/1
  • 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

87.4%

88.1% of the best (95.8%), above chance
43th percentile of 78 · n = 198

32k

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

60.4%

63.6% of the best (95.0%)
54th percentile of 51 · n = 120

high

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

86.5%

87.8% of the best (98.5%)
48th percentile of 51 · n = 100

high

Source: Epoch AI — AI Benchmarking Hub
CritPtLeaderboardReasoning

3.1%

9.7% of the best (32.3%)
32th percentile of 78

max

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

35.5%

47.0% of the best (75.6%)
36th percentile of 57 · n = 1,000

high

Source: Epoch AI — AI Benchmarking Hub
SWE-bench VerifiedEpoch-runCoding

75.2%

90.1% of the best (83.5%)
52th percentile of 26 · n = 500

Source: Epoch AI — AI Benchmarking Hub
SciCodeLeaderboardCoding

46.8%

75.4% of the best (62.0%)
46th percentile of 73 · n = 338

max

Source: Epoch AI — AI Benchmarking Hub
WeirdMLLeaderboardCoding

66.1%

71.1% of the best (92.9%)
68th percentile of 69

medium

Source: Epoch AI — AI Benchmarking Hub
FrontierCodeLeaderboardCoding

24.3%

45.5% of the best (53.5%)
23th percentile of 27

harness: claude-code · reasoning effort: max

Source: Epoch AI — AI Benchmarking Hub
CursorBenchLeaderboardCoding

49.0%

66.8% of the best (73.4%)
10th percentile of 21

max · reasoning level: Max

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

1,521

17% expected win rate against the board leader (1,797)
69th percentile of 86

board 2026-09-05

Source: Arena (LMArena) — Leaderboard Dataset

85.8%

85.8% of the best (100.0%)
29th percentile of 78 · n = 45

32k

Source: Epoch AI — AI Benchmarking Hub
ProofBenchLeaderboardMath

45.0%

45.0% of the best (100.0%)
65th percentile of 61

max · reasoning effort: max

Source: Epoch AI — AI Benchmarking Hub
Terminal-BenchLeaderboardAgentic

53.4%

63.0% of the best (84.7%)
64th percentile of 40

agent: Simplai Agent

Source: Epoch AI — AI Benchmarking Hub
OSWorld 2.0LeaderboardAgentic

9.3%

29.6% of the best (31.4%)
38th percentile of 9 · n = 108

medium

Source: Epoch AI — AI Benchmarking Hub
APEX-AgentsLeaderboardAgentic

23.7%

50.0% of the best (47.4%)
48th percentile of 49

high

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

$7,204

85.9% of the best ($11,182) on a log scale
83th percentile of 53

Source: Epoch AI — AI Benchmarking Hub
DeepResearch BenchLeaderboardAgentic

54.9%

99.3% of the best (55.3%)
94th percentile of 19 · n = 100

high

Source: Epoch AI — AI Benchmarking Hub
Vision ArenaLeaderboardMultimodal

1,275

45% expected win rate against the board leader (1,313)
66th percentile of 54

board 2026-08-27

Source: Arena (LMArena) — Leaderboard Dataset
Text ArenaLeaderboardHuman preference

1,472

45% expected win rate against the board leader (1,507)
70th percentile of 92

board 2026-09-02

Source: Arena (LMArena) — Leaderboard Dataset

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