Baidu ERNIE multimodal AI beats GPT and Gemini in benchmarks

Baidu’s newest ERNIE mannequin, a super-efficient multimodal AI, is thrashing GPT and Gemini on key benchmarks and targets enterprise knowledge typically ignored by text-focused fashions.

For many companies, helpful insights are locked in engineering schematics, factory-floor video feeds, medical scans, and logistics dashboards. Baidu’s new mannequin, ERNIE-4.5-VL-28B-A3B-Thinking, is designed to fill this hole.

What’s attention-grabbing to enterprise architects isn’t just its multimodal functionality, however its structure. It’s described as a “light-weight” mannequin, activating solely three billion parameters throughout operation. This strategy targets the excessive inference prices that always stall AI-scaling tasks. Baidu is betting on effectivity as a path to adoption, coaching the system as a basis for “multimodal brokers” that may purpose and act, not simply understand.

Complex visible knowledge evaluation capabilities supported by AI benchmarks

Baidu’s multimodal ERNIE AI mannequin excels at dealing with dense, non-text knowledge. For instance, it might probably interpret a “Peak Time Reminder” chart to seek out optimum visiting hours, a activity that displays the resource-scheduling challenges in logistics or retail.

ERNIE 4.5 additionally reveals functionality in technical domains, like fixing a bridge circuit diagram by making use of Ohm’s and Kirchhoff’s legal guidelines. For R&D and engineering arms, a future assistant may validate designs or clarify complicated schematics to new hires.

This functionality is supported by Baidu’s benchmarks, which present ERNIE-4.5-VL-28B-A3B-Thinking outperforming opponents like GPT-5-High and Gemini 2.5 Pro on some key exams:

• MathVista: ERNIE (82.5) vs Gemini (82.3) and GPT (81.3)

• ChartQA: ERNIE (87.1) vs Gemini (76.3) and GPT (78.2)

• VLMs Are Blind: ERNIE (77.3) vs Gemini (76.5) and GPT (69.6)

It’s price noting, in fact, that AI benchmarks present a information however can be flawed. Always carry out inside exams on your wants earlier than deploying any AI mannequin for mission-critical purposes.

Baidu shifts from notion to automation with its newest ERNIE AI mannequin

The main hurdle for enterprise AI is shifting from notion (“what is that this?”) to automation (“what now?”). ERNIE 4.5 claims to deal with this by integrating visible grounding with instrument use.

Asking the multimodal AI to seek out all folks carrying fits in a picture and return their coordinates in JSON format works. The mannequin generates the structured knowledge, a operate simply transferable to a manufacturing line for visible inspection or to a system auditing web site photos for security compliance.

The mannequin additionally manages exterior instruments and can autonomously zoom in on {a photograph} to learn small textual content. If it faces an unknown object, it might probably set off a picture search to establish it. This represents a much less passive type of AI that would energy an agent to not solely flag an information centre error, but in addition zoom in on the code, search the interior information base, and counsel the repair.

Unlocking enterprise intelligence with multimodal AI

Baidu’s newest ERNIE AI mannequin additionally targets company video archives from coaching periods and conferences to safety footage. It can extract all on-screen subtitles and map them to their exact timestamps.

It additionally demonstrates temporal consciousness, discovering particular scenes (like these “filmed on a bridge”) by analysing visible cues. The clear end-goal is making huge video libraries searchable, permitting an worker to seek out the precise second a particular subject was mentioned in a two-hour webinar they could have dozed off a few occasions throughout.

Baidu gives deployment steering for a number of paths, together with transformers, vLLM, and FastDeploy. However, the {hardware} necessities are a significant barrier. A single-card deployment wants 80GB of GPU reminiscence. This just isn’t a instrument for informal experimentation, however for organisations with present and high-performance AI infrastructure.

For these with the {hardware}, Baidu’s ERNIEKit toolkit permits fine-tuning on proprietary knowledge; a necessity for many high-value use circumstances. Baidu is offering its newest ERNIE AI mannequin with an Apache 2.0 licence that allows business use, which is important for adoption.

The market is lastly shifting towards multimodal AI that may see, learn, and act inside a particular enterprise context, and the benchmarks counsel it’s doing so with spectacular functionality. The instant activity is to establish high-value visible reasoning jobs inside your personal operation and weigh them towards the substantial {hardware} and governance prices.

See additionally: Wiz: Security lapses emerge amid the global AI race

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