Compare ERNIE X1.1 Preview from Baidu and ERNIE 4.5 from Baidu on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the AIHubMix API.
ERNIE X1.1 PreviewERNIE 4.5The 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.
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.
Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.
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ERNIE 4.5: $0.272/M output tokens; ERNIE X1.1 Preview: $0.544/M. Use the cost calculator above to estimate your own workload.
ERNIE 4.5: 0.9s time to first token measured on AIHubMix; see the live performance charts above for how each model behaves across the day.
ERNIE X1.1 Preview accepts 119,000 and ERNIE 4.5 accepts 160,000 input tokens. Maximum output per request is 64,000 tokens on ERNIE X1.1 Preview and 64,000 tokens on ERNIE 4.5.
ERNIE 4.5 at 98.7 tok/s and ERNIE X1.1 Preview at 14.8 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.
ERNIE X1.1 Preview accepts text input and supports thinking, tool calling, function calling and structured outputs; ERNIE 4.5 accepts text and image input and supports tool calling, function calling and structured outputs.
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