Compare DeepSeek V4 Flash from DeepSeek and ERNIE 4.5 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 4.5 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 4.5 Turbo also has significant improvements in hallucination reduction, logical reasoning, and coding capabilities. Compared to Wenxin 4.5, it is faster and more affordable.
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.
Monthly = daily × 30. Discounted rates applied where a promotion is active.
DeepSeek V4 Flash: $0.284/M output tokens; ERNIE 4.5 Turbo: $0.44/M. Use the cost calculator above to estimate your own workload.
ERNIE 4.5 Turbo: 0.6s 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 Turbo accepts 135,000 input tokens. Maximum output per request is 384,000 tokens on DeepSeek V4 Flash and 12,000 tokens on ERNIE 4.5 Turbo.
DeepSeek V4 Flash at 66.5 tok/s and ERNIE 4.5 Turbo at 17.6 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 Turbo accepts text and image input and supports tool calling, function calling and structured outputs.
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