Compare ERNIE X1.1 Preview from Baidu and Qwen3.8 Max from Qwen 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 Preview
Qwen3.8 MaxThe 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.
Qwen3.8-Max is Alibaba Cloud Tongyi Qianwen's next-generation flagship large language model, featuring a mixture-of-experts (MoE) architecture with 2.4 trillion parameters. It achieves another breakthrough in encoding depth, enabling it to handle more complex engineering-grade projects and long-term autonomous development; collaborative agent capabilities are significantly enhanced, performing more confidently in multi-tool orchestration and end-to-end delivery; visual understanding is comprehensively improved, with more sensitive and accurate chart reasoning, document parsing, and multimodal perception. Continuing the 1-million-context window, reasoning modes, and a complete tool ecosystem, it continues to evolve at a higher level of intelligence.
Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.
Promotional prices show the discounted rate; see each model page for promotion windows.
Daily traffic served through AIHubMix — how demand for each model is trending.
Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.
Estimate your monthly bill for the same workload on each model.
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ERNIE X1.1 Preview: $0.544/M output tokens; Qwen3.8 Max: $5.07/M. Use the cost calculator above to estimate your own workload.
ERNIE X1.1 Preview: 1.3s 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 Qwen3.8 Max accepts 1,000,000 input tokens. Maximum output per request is 64,000 tokens on ERNIE X1.1 Preview and 131,072 tokens on Qwen3.8 Max.
Qwen3.8 Max at 28.4 tok/s and ERNIE X1.1 Preview at 3.5 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; Qwen3.8 Max accepts text, image and video input and supports tool calling, function calling, structured outputs, web search, long context and thinking.
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