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Daily blended price ($/1M) — recorded each day, builds into a trend over time.
Typical 3:1 output-to-input mix, per 1M tokens
Price as of 2026-05-10 · Source: baidu_qianfan_official_pricing
Mixed text, image, audio and document workloads that benefit from one model across modalities.
ERNIE-4.5-VL-424B-A47B is a multimodal Mixture-of-Experts (MoE) model from Baidu’s ERNIE 4.5 series, featuring 424B total parameters with 47B active per token. It is trained jointly on text and image data...
ernie-4.5-vl-424b-a47b is a Multimodal model from Baidu Wenxin (CN). HotON.ai tracks it at $0.42 per 1M input tokens and $1.25 per 1M output tokens, with a 66K-token context window. Its composite efficiency score is 88/100 at an estimated $0.001 per successful task.
ernie-4.5-vl-424b-a47b is tracked at $0.42 per 1M input tokens and $1.25 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $1.04 per 1M tokens. Figures are illustrative demo data.
Mixed text, image, audio and document workloads that benefit from one model across modalities.
ernie-4.5-vl-424b-a47b supports up to a 66K-token context window — large enough for long documents and extended conversations in a single request.
Within the HotON.ai tracked set, ernie-4.5-vl-424b-a47b is cheaper than 46% of models on input price and ranks #316 of 535 by overall efficiency.
Yes — grok-4-fast is a lower-cost option at $0.50 per 1M output tokens, while still covering similar Multimodal use cases. Compare them side by side on HotON.ai.
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HotON.ai — ernie-4.5-vl-424b-a47b (Baidu Wenxin): $0.42/1M input, $1.25/1M output, as of 2026-05-10. https://hoton.ai/en/models/baidu-ernie-4-5-vl-424b-a47bPricing is real (via the TestKey catalog, updated daily). Quality (Arena Elo) is real where the model is ranked on LMArena. Efficiency is a modeled composite of real price and context.