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

Inception AI benchmarks.

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

Lab rank

#18

By available Arena average

Models tracked

2

0 open-weight models

Portfolio coverage

34%

Average matched benchmark signals

Fastest model

4.00s

Mercury 2

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

Inception AI has 2 tracked benchmark profiles.

Lab #18

The portfolio combines 2 proprietary models and 0 open-weight models. Its average available Arena rank is 172.3, with a best category rank of #93. Average profile coverage is 34%, so model-level gaps remain visible in the cards below.

Best Arena model

Mercury 2

Best category rank #93

Highest coverage

Mercury 2

56% matched signals

Fastest response

Mercury 2

4.00s first token

Access mix

Open versus proprietary

Proprietary

2 / 100%

Open weights

0 / 0%

Value leader

Mercury 2

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.

Inception AI value ranking table

Models from this lab with both quality and commercial price matches.

Top 1 of 1

#88
Mercury 2

mercury-2

Inception AIProprietary
70value index
Price
$0.375blended / 1M tokens
Latency
4.00stime to first token
Speed
927 tok/soutput speed
Quality
44quality signal
ArenaArtificial Analysis

Model portfolio

Inception AI model coverage map.

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