All models

BaiduChina· released May 2026

ERNIE 5.1

Provisional: 1 comparable test so far. Ranked once it reaches 6 across 3 counting categories.

Baidu, China. One of 1 model from this lab on the Index.

Third-party publishedLow confidence (thin coverage)

Snapshot September 8, 2026

OpenCharts Index

88.8

Provisional: not enough comparable tests or counting categories to rank yet · 1 comparable tests · 0 counting categories

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

ERNIE 5.1, in 1 result.

Its widest gap is on Text Arena, 11.2% behind the best published result. No comparable results yet in reasoning, knowledge, coding, math, agentic, multimodal and long context. Between 10% and 15% 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

Text Arena

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

1,468

44% expected win rate against the board leader (1,507) · #31 of 92.

Millions of blind votes on real prompts are the market's measure of what people prefer.

Where it trails

Text Arena

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

1,468

11.2 points short of parity with the board leader (1,507) · #31 of 92.

Millions of blind votes on real prompts are the market's measure of what people prefer.

Not measured yet

No comparable result yet in these 7 categories. A blank is a blank, never a zero, and it does not lower the Index.

  • Reasoning
  • Knowledge
  • Coding
  • Math
  • Agentic
  • Multimodal
  • Long context

Covered, but not averaged into the Index:

  • Human preferencesingle-test category, shown beside the Index · 88.8
Every score, with its source

See it at work

What ERNIE 5.1 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 88.8 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.

1,468

44% expected win rate against the board leader (1,507)
#31 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.

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

  • Reasoning
  • Knowledge
  • Coding
  • Math
  • Agentic
  • Multimodal
  • Human preferencebeside88.8 · 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.

Text ArenaLeaderboardHuman preference

1,468

44% expected win rate against the board leader (1,507)
66th percentile of 92

board 2026-09-02

Source: Arena (LMArena) — Leaderboard Dataset

Top of 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.