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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 2026-04-28 · Source: legacy_model_catalog
Mixed text, image, audio and document workloads that benefit from one model across modalities.
Qwen3-VL-8B-Instruct is a multimodal vision-language model from the Qwen3-VL series, built for high-fidelity understanding and reasoning across text, images, and video. It features improved multimodal fusion with Inte...
qwen3-vl-8b-instruct is a Multimodal model from Alibaba Cloud · Qwen (CN). HotON.ai tracks it at $0.08 per 1M input tokens and $0.50 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.
qwen3-vl-8b-instruct is tracked at $0.08 per 1M input tokens and $0.50 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $0.40 per 1M tokens. Figures are illustrative demo data.
Mixed text, image, audio and document workloads that benefit from one model across modalities.
qwen3-vl-8b-instruct 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, qwen3-vl-8b-instruct is cheaper than 85% of models on input price and ranks #165 of 537 by overall efficiency.
Yes — gemini-2.5-flash-lite-preview-09-2025 is a lower-cost option at $0.40 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 — qwen3-vl-8b-instruct (Alibaba Cloud · Qwen): $0.08/1M input, $0.50/1M output, as of 2026-04-28. https://hoton.ai/en/models/qwen-qwen3-vl-8b-instructPricing 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.