Compare DeepSeek V4 Flash from DeepSeek and ERNIE X1 Turbo 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.
DeepSeek V4 Flash
ERNIE X1 Turbo(This model currently points to the older 0423 version; if you need to request the latest version, you can choose the model deepseek-v4-flash-0731)DeepSeek-V4 features an ultra-long context of one million characters and achieves leading performance domestically and in the open-source domain in agent capabilities, world knowledge, and reasoning.
Wenxin 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.
Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.
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DeepSeek V4 Flash: $0.284/M output tokens; ERNIE X1 Turbo: $0.544/M. Use the cost calculator above to estimate your own workload.
DeepSeek V4 Flash accepts 1,000,000 and ERNIE X1 Turbo accepts 50,500 input tokens. Maximum output per request is 384,000 tokens on DeepSeek V4 Flash and 28,000 tokens on ERNIE X1 Turbo.
DeepSeek V4 Flash accepts text input and supports tool calling, function calling, structured outputs and thinking; ERNIE X1 Turbo accepts text input and supports thinking, tool calling, function calling and structured outputs.
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