Compare DeepSeek V4 Flash from DeepSeek and ERNIE 4.5 Turbo VL 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 VL(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.
The new version of the Wenxin Yiyan large model significantly improves capabilities in image understanding, creation, translation, and coding. It supports a context length of up to 32K tokens for the first time, with a notable reduction in the latency of the first token.
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 VL: $1.2/M. Use the cost calculator above to estimate your own workload.
ERNIE 4.5 Turbo VL: 0.7s 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 VL accepts 139,000 input tokens. Maximum output per request is 384,000 tokens on DeepSeek V4 Flash and 16,000 tokens on ERNIE 4.5 Turbo VL.
DeepSeek V4 Flash at 66.5 tok/s and ERNIE 4.5 Turbo VL at 5.5 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 Turbo VL accepts text and image input and supports tool calling, function calling and structured outputs.
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