Compare DeepSeek V4 Flash from DeepSeek 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.
DeepSeek V4 Flash
ERNIE 4.5(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 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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Daily traffic served through AIHubMix — how demand for each model is trending.
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Estimate your monthly bill for the same workload on each model.
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ERNIE 4.5: $0.272/M output tokens; DeepSeek V4 Flash: $0.284/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.
DeepSeek V4 Flash accepts 1,000,000 and ERNIE 4.5 accepts 160,000 input tokens. Maximum output per request is 384,000 tokens on DeepSeek V4 Flash and 64,000 tokens on ERNIE 4.5.
ERNIE 4.5 at 98.7 tok/s and DeepSeek V4 Flash at 66.5 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.
DeepSeek V4 Flash accepts text input and supports tool calling, function calling, structured outputs and thinking; ERNIE 4.5 accepts text and image input and supports tool calling, function calling and structured outputs.
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