Pith Number

pith:KSL44R7P

pith:2025:KSL44R7PRTQF47XVXVL6LVJ3YK

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Open-Sora 2.0: Training a Commercial-Level Video Generation Model in $200k

Anbang Ye, Binluo Wang, Chaoyu Gong, Chenhui Shen, Gang Ren, Guojun Lei, Hang Xu, Hongxin Liu, Leijun Cheng, Limin Zhang, Minghao Li, Mingyan Jiang, Qianran Ma, Ruijie Zhang, Shijie Huang, Silan Hu, Tom Young, Wanying Liang, Wenjun Li, Xiang Lian, Xiangyu Peng, Xiaokang Wang, Xinying Guo, Xiwen Wu, Yang You, Yuanheng Zhao, Yuhui Wang, Yuqi Wang, Yuting Zhong, Yuxuan Lou, Zangwei Zheng, Zhuangyan Li, Ziang Wei

A commercial-level video generation model can be trained for $200,000.

arxiv:2503.09642 v3 · 2025-03-12 · cs.GR · cs.AI

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Claims

C1strongest claim

With this model, we demonstrate that the cost of training a top-performing video generation model is highly controllable. According to human evaluation results and VBench scores, Open-Sora 2.0 is comparable to global leading video generation models including the open-source HunyuanVideo and the closed-source Runway Gen-3 Alpha.

C2weakest assumption

That the reported $200k training cost accurately captures all resources used and that the human evaluations and VBench scores provide an unbiased, apples-to-apples comparison to the referenced leading models without undisclosed differences in evaluation protocols or model capabilities.

C3one line summary

Open-Sora 2.0 achieves commercial-level video generation quality at a training cost of only $200k through data curation, architecture, training strategy, and system optimizations, and is released fully open-source.

Formal links

2 machine-checked theorem links

Cited by

28 papers in Pith

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Receipt and verification

First computed	2026-05-17T23:38:47.922770Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

5497ce47ef8ce05e7ef5bd57e5d53bc288aad95588ff80f60b0f1c0d805d8e4d

Aliases

arxiv: 2503.09642 · arxiv_version: 2503.09642v3 · doi: 10.48550/arxiv.2503.09642 · pith_short_12: KSL44R7PRTQF · pith_short_16: KSL44R7PRTQF47XV · pith_short_8: KSL44R7P

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/KSL44R7PRTQF47XVXVL6LVJ3YK \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 5497ce47ef8ce05e7ef5bd57e5d53bc288aad95588ff80f60b0f1c0d805d8e4d

Canonical record JSON

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  "metadata": {
    "abstract_canon_sha256": "f7c4092b7e10da5672e51ea7ad0ec03253d5920ee242e24bb989f422645577ae",
    "cross_cats_sorted": [
      "cs.AI"
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    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.GR",
    "submitted_at": "2025-03-12T05:00:07Z",
    "title_canon_sha256": "7bf382ab4a32a6050bc9e324b5edf8938869a6638ded6c8e33a20c747c0c462c"
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  "schema_version": "1.0",
  "source": {
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