by Baidu
The Wenxin large model X1.1 has made significant improvements in question answering, tool invocation, intelligent agents, instruction following, logical reasoning, mathematics, and coding tasks, with notable enhancements in factual accuracy. The context length has been extended to 64K tokens, supporting longer inputs and dialogue history, which improves the coherence of long-chain reasoning while maintaining response speed.
The Wenxin large model X1.1 has made significant improvements in question answering, tool invocation, intelligent agents, instruction following, logical reasoning, mathematics, and coding tasks, with notable enhancements in factual accuracy. The context length has been extended to 64K tokens, supporting longer inputs and dialogue history, which improves the coherence of long-chain reasoning while maintaining response speed.
ERNIE-X1.1-Preview has a 119,000 token context window.
On AIHubMix, ERNIE-X1.1-Preview costs $0.14 per million input tokens and $0.54 per million output tokens.
ERNIE-X1.1-Preview accepts text input.
ERNIE-X1.1-Preview supports thinking, tool calling, function calling and structured outputs. Per-protocol parameter support is listed in the capability table on this page.
ERNIE-X1.1-Preview 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-X1.1-Preview — no other code changes needed.
ERNIE-X1.1-Preview is developed by Baidu. AIHubMix aggregates it alongside models from other providers behind one API and one bill.
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Use ERNIE-X1.1-Preview via the AIHubMix unified API — one interface for every major LLM.