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ERNIE 5.0

Baidu's 2.4T-parameter natively omni-modal flagship for text, image, audio, and video

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About

ERNIE 5.0 is Baidu's flagship model, unveiled at Baidu World 2025. It is a natively omni-modal system with up to 2.4 trillion parameters that jointly models text, images, audio, and video in one architecture rather than bolting modalities onto a text backbone. Baidu positions it against GPT-5-class and Gemini-class models, citing 40-plus benchmark tests where its language and multimodal understanding sit near the top, and image/video generation it calls world-leading in professional use. A January 2026 snapshot topped the LMSYS Arena text leaderboard at 1,451 points, per third-party coverage. It is proprietary: access runs through the ERNIE app for consumers and Baidu's Qianfan cloud platform for developers, with reported pricing around $0.85 per million input tokens. Baidu leans on its knowledge graph and Chinese-language data as differentiators. The announcement was met with some market skepticism about differentiation, and independent verification of the headline benchmark claims remains thin.

Specs

Context window

Not disclosed

Pricing

~$0.85/1M input tokens (reported)

Free quota

None published

API access

Baidu Qianfan platform API; ERNIE app for consumers

Weights

Closed — API only

Released

November 13, 2025

Benchmarks

Vendor-stated: competitive with Gemini 2.5 Pro and GPT-5-High across 40+ tests; 1,451 LMSYS Arena text (third-party reported, Jan 2026)

Provider-reported unless a source says otherwise. Benchmarks are marketing-adjacent by nature — treat them as directional.

Use cases

multimodal generationChinese-language taskscreative writingenterprise assistants

Trust score — 7/10

/10 trustMetrics-checked

Scored 7/10 (metrics tier, metrics-v1). Evidence: Baidu World 2025-11-13 launch verified via PR Newswire/Nasdaq; 2.4T params and omni-modal claims are vendor-stated; Arena score third-party reported; pricing secondary-reported.

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Sources