by Baidu
Wenxin Large Model 4.5 is a next-generation native multimodal foundational model independently developed by Baidu. It achieves collaborative optimization through joint modeling of multiple modalities, demonstrating excellent multimodal understanding capabilities; it possesses more advanced language abilities, with comprehensive improvements in comprehension, generation, logic, and memory, as well as significant enhancements in hallucination reduction, logical reasoning, and coding capabilities.ERNIE-4.5-21B-A3B is an aligned open-source model with a MoE structure, having a total of 21 billion parameters and 3 billion activated parameters.
Wenxin Large Model 4.5 is a next-generation native multimodal foundational model independently developed by Baidu. It achieves collaborative optimization through joint modeling of multiple modalities, demonstrating excellent multimodal understanding capabilities; it possesses more advanced language abilities, with comprehensive improvements in comprehension, generation, logic, and memory, as well as significant enhancements in hallucination reduction, logical reasoning, and coding capabilities.ERNIE-4.5-21B-A3B is an aligned open-source model with a MoE structure, having a total of 21 billion parameters and 3 billion activated parameters.
ernie-4.5 has a 160,000 token context window.
On AIHubMix, ernie-4.5 costs $0.07 per million input tokens and $0.27 per million output tokens.
ernie-4.5 accepts text and image input.
ernie-4.5 supports tool calling, function calling and structured outputs. Per-protocol parameter support is listed in the capability table on this page.
ernie-4.5 is available through the AIHubMix unified API. The API is OpenAI-compatible: point your OpenAI SDK at https://aihubmix.com/v1, use your AIHubMix API key, and set the model name to ernie-4.5 — no other code changes needed.
ernie-4.5 is developed by Baidu. AIHubMix aggregates it alongside models from other providers behind one API and one bill.
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Use ernie-4.5 via the AIHubMix unified API — one interface for every major LLM.