All models

AlibabaChina· released Aug 2026· open weights

Qwen3.8 27B

Provisional: 6 comparable tests so far. Ranked once it reaches 6 across 3 counting categories.

Alibaba, China. One of 19 models from this lab on the Index.

Third-party publishedLow confidence (thin coverage)
Theo

Available in Theo as Theo Open Vision

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Snapshot September 8, 2026

OpenCharts Index

51.0

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 43.1 and 59.7.

HARD SET

Needs more results (0 of 8 so far)

Distance to today's frontier on the hardest tests. Not a measure of intelligence.

What it's known for

Qwen3.8 27B, in 6 results.

Its widest gap is on ProofBench, 84.0% behind the best published result. No comparable results yet in knowledge, agentic and long context. Between 40% and 50% 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

Vision Arena

Answer prompts that include an image; real users vote blind between two models' answers.

1,251

41% expected win rate against the board leader (1,313) · #32 of 54.

Seeing is half of most real tasks: screenshots, documents, photos and charts.

Where it trails

ProofBench

Write a complete, rigorous proof, graded for rigor rather than for a final answer.

16.0%

84.0% behind the best published result (100.0%) · #41 of 61.

A proof shows the reasoning itself. A right answer with a wrong argument scores nothing.

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.

  • Knowledge
  • Agentic
  • Long context

Covered, but not averaged into the Index:

  • Reasoning1 of 6 tests · needs 3 · mean 16.8
  • Coding2 of 7 tests · needs 4 · mean 59.7
  • Math1 of 5 tests · needs 3 · mean 16.0
  • Multimodalsingle-test category, shown beside the Index · 82.5
  • Human preferencesingle-test category, shown beside the Index · 79.8
Every score, with its source

See it at work

What Qwen3.8 27B 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.

Multimodal · mean 82.5 across 1 comparable test · a single-test category, shown beside the Index and never averaged into it

Vision ArenaLeaderboard

Answer prompts that include an image; real users vote blind between two models' answers.

1,251

41% expected win rate against the board leader (1,313)
#32 of 54

board 2026-08-27

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

Qwen3.8 27B 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.

Qwen3.8 27B

provisional·Index 51.0C-

0 : 4

wins · 0 ties · 4 shared

GPT-6 Astra

#1·Index 99.0A+

GPT-6 Astra comes out ahead on 4 of the 4 tests both have taken.

Category means

  • Reasoning

    16.8
    99.6
  • Knowledge

    100.0
  • Coding

    59.7
    97.7
  • Math

    16.0
    99.8
  • Agentic

    98.5
  • Multimodal

    82.5
  • Human preference

    79.8

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

  • Reasoning16.8 · 1/6
  • Knowledge
  • Coding59.7 · 2/7
  • Math16.0 · 1/5
  • Agentic
  • Multimodalbeside82.5 · 1/1
  • Human preferencebeside79.8 · 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.

CritPtLeaderboardReasoning

5.4%

16.8% of the best (32.3%)
44th percentile of 78

xhigh

Source: Epoch AI — AI Benchmarking Hub
SciCodeLeaderboardCoding

44.7%

72.0% of the best (62.0%)
36th percentile of 73 · n = 338

xhigh

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

1,594

24% expected win rate against the board leader (1,797)
86th percentile of 86

board 2026-09-05

Source: Arena (LMArena) — Leaderboard Dataset
ProofBenchLeaderboardMath

16.0%

16.0% of the best (100.0%)
30th percentile of 61

Source: Epoch AI — AI Benchmarking Hub
Vision ArenaLeaderboardMultimodal

1,251

41% expected win rate against the board leader (1,313)
42th percentile of 54

board 2026-08-27

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

1,436

40% expected win rate against the board leader (1,507)
33th percentile of 92

board 2026-09-02

Source: Arena (LMArena) — Leaderboard Dataset

Top of the leaderboard

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