Compare DeepSeek V4 Flash from DeepSeek and ERNIE Image 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 Image TurboDeepSeek V4 Flash 0423 is DeepSeek's efficiency-optimized Mixture-of-Experts text model, designed for fast inference and workflows requiring tool use, function calling, and structured outputs. It features 284B total parameters with 13B activated parameters and supports a 1M-token context window with cost-effective pricing.
Baidu's self-developed ERNIE iRAG Edit image editing model supports operations based on images such as erase (object removal), repaint (object redrawing), and variation (variant generation).
Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.
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DeepSeek V4 Flash accepts text input and supports tool calling, function calling and structured outputs; ERNIE Image Turbo accepts text and image input and supports tool calling, function calling and structured outputs.
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