Compare ERNIE X1 Turbo from Baidu and GPT 5.6 Luna from OpenAI 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 Turbo
GPT 5.6 LunaWenxin Large Model X1 possesses enhanced abilities in understanding, planning, reflection, and evolution. As a more comprehensive deep-thinking model, Wenxin X1 combines accuracy, creativity, and literary elegance, excelling particularly in Chinese knowledge Q&A, literary creation, document writing, daily conversations, logical reasoning, complex calculations, and tool invocation.
GPT-5.6 Luna is designed for cost-sensitive, high-volume workloads. It roughly corresponds to the nano model tier used in earlier GPT-5 families.
Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.
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Estimate your monthly bill for the same workload on each model.
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ERNIE X1 Turbo: $0.544/M output tokens; GPT 5.6 Luna: $1.2/M. Use the cost calculator above to estimate your own workload.
ERNIE X1 Turbo accepts 50,500 and GPT 5.6 Luna accepts 1,050,000 input tokens. Maximum output per request is 28,000 tokens on ERNIE X1 Turbo and 128,000 tokens on GPT 5.6 Luna.
ERNIE X1 Turbo accepts text input and supports thinking, tool calling, function calling and structured outputs; GPT 5.6 Luna accepts text and image input and supports tool calling, thinking and structured outputs.
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