Warp

ERNIE 4.5 VL 28B A3B Thinking

ChatInput: TextInput: ImageReleased Nov 7, 2025

Built by Baidu · China · research.baidu.com

Built upon the powerful ERNIE-4.5-VL-28B-A3B architecture, the newly upgraded ERNIE-4.5-VL-28B-A3B-Thinking achieves a remarkable leap forward in multimodal reasoning capabilities. 🧠✨ Through an extensive mid-training phase, the model absorbed a vast and highly diverse corpus of premium visual-language reasoning data. This massive-scale training process dramatically boosted the model’s representation power while deepening the semantic alignment between visual and language modalities—unlocking unprecedented capabilities in nuanced visual-textual reasoning. 📊 The model leverages cutting-edge multimodal reinforcement learning techniques on verifiable tasks, integrating GSPO and IcePop strategies to stabilize MoE training combined with dynamic difficulty sampling for exceptional learning efficiency. ⚡ Responding to strong community demand, we’ve significantly strengthened the model’s grounding performance with improved instruction-following capabilities, making visual grounding functions more accessible than eve

How to use

Just add the suffix. Hard questions still come back from this model; only easy ones drop to something cheaper, and nothing pricier than it gets used.

model: "baidu/ernie-4.5-vl-28b-a3b-thinking:auto"

Sets no behavior — whatever your key already stores stays in effect.

Without the suffix, the bare name always goes to this model — no routing, so nothing saved.

Context

131K

Max output

66K

Input $/1M

$0.39

Output $/1M

$0.39

Features

Providers

Novita

Providers

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Performance

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Speed

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Parameter support

What Warp actually does with each parameter when you call this model. The answer differs by serving provider and by API surface.