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#25B+Apr 16, 2026Evidence B

Zidong Taichu 2.0

CASIA · Undisclosed (all-modality, continuous fusion)

The academic all-modality entry: more papers than product

CASIA’s all-modality model, with modality coverage level with WITA-Omni (text/image/video/audio) but productisation at the opposite end of this site: composite 80.1, ranked 24th, no official API, weights under a research licence. Its value is in papers and ablations — public evidence on cross-modal alignment runs deeper than most vendors’.

TextImageVideoAudioNative

Last updated Oct 18, 2026Editorial scoring

Bottom line

For research — cross-modal alignment, all-modality pretraining methods — it deserves serious attention, with papers and weights public. For production, do not pick it: the research licence excludes commercial use, and there is no API or support. It is the second model on this board in the “architecture research value” class after LongCat-Next, but the usability gap between them dwarfs the score gap.

Eight-dimension breakdown

editorial mapping · 0–100
Perception88Document85Chart QA78Video84Agent70Generation72Chinese87Ecosystem658D
  • Zidong Taichu 2.080.1
Visual perception & grounding20%
88
Document parsing & Chinese OCR18%
85
Chart & document reasoning14%
78
Video & long-horizon reasoning14%
84
GUI agents & tool use14%
70
Generation & editing6%
72
Chinese context & culture6%
87
Ecosystem, cost & availability8%
65

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
全模态对齐论文NeurIPS/AAAI 在投Academic channel
权重许可研究许可No official API

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 OCR83 · Trained on academic corpora; good on clean receipts
Chart data extraction76 · Standard charts
30-min video QA80 · All-modality training; average timing
Mobile GUI control66 · Not trained for GUI
Chinese cultural context86 · Strong on academic Chinese

Strengths and limitations

Strengths

  • All-modality coverage plus public ablations: the deepest public evidence on cross-modal alignment.
  • Chinese context 87: better priors on academic Chinese and policy text than its score peers.
  • Research-licensed open weights: methods are reproducible and papers citable.

Limitations

  • Research licence: even internal production deployment is excluded — the same wall as LongCat-Next.
  • No official API, no SLA: production support is zero.
  • Ecosystem 65: tooling targets paper reproduction, not engineering delivery.

Price and real cost

List price

—N/A

No official API; weights under a research licence. 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 Zidong Taichu 2.0

Is Zidong Taichu 2.0 open source?

Licence: Open weights (research licence). Weights are available, but check the exact terms and filing requirements before commercial use.

How much does Zidong Taichu 2.0 cost?

No official API; weights under a research licence. It ranks #25 with a composite of 80.1. Real bills depend on resolution, tiling, caching and volume discounts.

What is Zidong Taichu 2.0 best for?

Cross-modal alignment and all-modality pretraining research; Academic evaluation and method reproduction。

Why does Zidong Taichu 2.0 score 80.1?

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 Visual perception & grounding; 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.