Skip to content
#23B+Jul 28, 2026Evidence A

WITA-Omni Preview

AgiBot · Undisclosed (embodied native)

An omni brain that reads the room

Tops DailyOmni at 85.21 with six of eight sub-metrics first. Not a web model — it lets robots decide who is speaking and whether to respond.

TextImageVideoAudioEmbodiedNative

Last updated Oct 18, 2026Editorial scoring

Bottom line

Not directly comparable to web multimodal boards: input is continuous AV streams and physical space, output is interaction decisions. Highly relevant to embodied teams, irrelevant to content teams.

Eight-dimension breakdown

editorial mapping · 0–100
Perception87Document80Chart QA78Video92Agent76Generation75Chinese84Ecosystem608D
  • WITA-Omni Preview80.6
Visual perception & grounding20%
87
Document parsing & Chinese OCR18%
80
Chart & document reasoning14%
78
Video & long-horizon reasoning14%
92
GUI agents & tool use14%
76
Generation & editing6%
75
Chinese context & culture6%
84
Ecosystem, cost & availability8%
60

Weights: perception 20 / documents 18 / charts 14 / video 14 / agents 14 / generation 6 / Chinese 6 / ecosystem 8. Definitions and sources on the methodology page.

Public benchmarks

as reported, not converted
Benchmark / metricValueNote
DailyOmni85.21#1 overall
细分指标6/8First in 6 of 8

Public scores come from different versions and prompts and are not interchangeable with our composite; they are one evidence input.

Scenario mapping

five stress tests, one scale
ScenarioScoreObservation
Chinese receipt OCR78 · Not targeted
Chart data extraction76 · Not targeted
30-min video QA90 · Strong on continuous AV streams
Mobile GUI control70 · Not for screens
Chinese cultural context82 · Service-scene context

Strengths and limitations

Strengths

  • Leads on joint AV reasoning and response-timing decisions.
  • First compliant, filed embodied interaction model in China.
  • End-to-end Thinker–Talker–Actor architecture.

Limitations

  • Not a general image-text API.
  • Cannot be evaluated without the robot body.
  • Closed ecosystem, no public pricing.

Price and real cost

List price

—N/A

Not commercially available. For 1,000 images at 1,024px, ~1,100 image tokens each and 300 output tokens, the monthly cost is about ¥0.0 (assuming input at 25% of output price).

Use your volume

About WITA-Omni Preview

Is WITA-Omni Preview open source?

Licence: Closed, filed for commercial use. No public weights; access is via vendor API or an on-prem licence.

How much does WITA-Omni Preview cost?

Not commercially available. It ranks #23 with a composite of 80.6. Real bills depend on resolution, tiling, caching and volume discounts.

What is WITA-Omni Preview best for?

Humanoid robot interaction; Service robots; Embodied AI research。

Why does WITA-Omni Preview score 80.6?

The composite weights eight dimensions: perception 20%, documents 18%, charts 14%, video 14%, agents 14%, generation 6%, Chinese 6%, ecosystem 8%. Its strongest dimension is Video & long-horizon reasoning; its weakest is Ecosystem, cost & availability.

Personal ranking · Not an official score

Every ranking, score and comparison on this page is an independent personal ranking, not an official score, and represents no vendor, institution or regulator. Scores are a subjective mapping of public evidence under our own weights — change the weights and the order changes. Disagree, or spotted a factual error? Contact the site owner: jizhi2024@foxmail.com — we check each report and log corrections in the changelog.