Benchmark suiteLatest source data: Jul 14, 2026Checked: July 16, 2026

Baidu benchmarks.

A lab-level profile for Baidu, covering tracked models, category leaders, open/proprietary mix, speed, value, source coverage, and portfolio depth.

Lab rank

#8

By available Arena average

Models tracked

5

0 open-weight models

Portfolio coverage

13%

Average matched benchmark signals

Fastest model

Not listed

Lab profile

Portfolio shape, leaders, and model coverage.

The lab page now starts with the portfolio read, then drills into category leaders, value rankings, and model-level coverage rather than repeating source panels.

Portfolio read

Baidu has 5 tracked benchmark profiles.

Lab #8

The portfolio combines 5 proprietary models and 0 open-weight models. Its average available Arena rank is 50.2, with a best category rank of #13. Average profile coverage is 13%, so model-level gaps remain visible in the cards below.

Best Arena model

ERNIE 5.1

Best category rank #13

Highest coverage

ERNIE 5.1

22% matched signals

Fastest response

Not listed

No latency match

Access mix

Open versus proprietary

Proprietary

5 / 100%

Open weights

0 / 0%

Value leader

Not listed

Category leaders

Best model by benchmark lens.

Each card shows the highest-ranked model from this lab in a composite benchmark suite, with the global rank and index left intact.

Value

Quality, price, latency, and speed

Not listed

Not enough matched rows for this lab in this suite.

Coding

Code Arena, SWE-bench, and output speed

Not listed

Not enough matched rows for this lab in this suite.

Agents

Search, document, code, and latency

ERNIE 5.1

#6878

agent proxy

Reasoning

Text, document, vision, and mode signals

ERNIE 5.1

#1593

reasoning proxy

Context

Document, search, and text proxy

ERNIE 5.0 Preview 1203

#3389

context proxy

Model portfolio

Baidu model coverage map.

Every tracked model keeps its best Arena rank, coverage score, commercial metrics, and suite placement visible in one scannable grid.