Get an email when this model's blended price drops. No account needed.
One email per drop. Unsubscribe anytime.
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 2026-04-28 · Source: legacy_model_catalog
General-purpose text generation, chat, summarization and content workloads where broad capability and low cost matter most.
Qwen3-8B is a dense 8.2B parameter causal language model from the Qwen3 series, designed for both reasoning-heavy tasks and efficient dialogue. It supports seamless switching between "thinking" mode for math,...
qwen3-8b is a Text model from Alibaba Cloud · Qwen (CN). HotON.ai tracks it at $0.05 per 1M input tokens and $0.40 per 1M output tokens, with a 41K-token context window. Its composite efficiency score is 89/100 at an estimated $0.000 per successful task.
qwen3-8b is tracked at $0.05 per 1M input tokens and $0.40 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $0.31 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.
qwen3-8b supports up to a 41K-token context window — large enough for long documents and extended conversations in a single request.
Within the HotON.ai tracked set, qwen3-8b is cheaper than 91% of models on input price and ranks #170 of 535 by overall efficiency.
Yes — deepseek/deepseek-v4-flash is a lower-cost option at $0.28 per 1M output tokens, while still covering similar Text use cases. Compare them side by side on HotON.ai.
Ready to paste into articles, papers or AI prompts — prices and date refresh with the live data.
HotON.ai — qwen3-8b (Alibaba Cloud · Qwen): $0.05/1M input, $0.40/1M output, as of 2026-04-28. https://hoton.ai/en/models/qwen-qwen3-8bPricing 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.