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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
General-purpose text generation, chat, summarization and content workloads where broad capability and low cost matter most.
A sophisticated text-based Mixture-of-Experts (MoE) model featuring 21B total parameters with 3B activated per token, delivering exceptional multimodal understanding and generation through heterogeneous MoE structures...
ernie-4.5-21b-a3b is a Text model from Baidu Wenxin (CN). HotON.ai tracks it at $0.07 per 1M input tokens and $0.28 per 1M output tokens, with a 131K-token context window. Its composite efficiency score is 89/100 at an estimated $0.000 per successful task.
ernie-4.5-21b-a3b is tracked at $0.07 per 1M input tokens and $0.28 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $0.23 per 1M tokens. Figures are illustrative demo data.
General-purpose text generation, chat, summarization and content workloads where broad capability and low cost matter most.
ernie-4.5-21b-a3b supports up to a 131K-token context window — large enough for long documents and extended conversations in a single request.
Within the HotON.ai tracked set, ernie-4.5-21b-a3b is cheaper than 88% of models on input price and ranks #223 of 535 by overall efficiency.
Yes — ling-2.6-flash is a lower-cost option at $0.24 per 1M output tokens, while still covering similar Text use cases. Compare them side by side on HotON.ai.
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HotON.ai — ernie-4.5-21b-a3b (Baidu Wenxin): $0.07/1M input, $0.28/1M output, as of 2026-05-10. https://hoton.ai/en/models/baidu-ernie-4-5-21b-a3bPricing 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.