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 2026-05-11 · Source: bytedance_reference_catalog
Mixed text, image, audio and document workloads that benefit from one model across modalities.
UI-TARS-1.5 is a multimodal vision-language agent optimized for GUI-based environments, including desktop interfaces, web browsers, mobile systems, and games. Built by ByteDance, it builds upon the UI-TARS framework w...
ui-tars-1.5-7b is a Multimodal model from ByteDance (Doubao) (CN). HotON.ai tracks it at $0.10 per 1M input tokens and $0.20 per 1M output tokens, with a 128K-token context window. Its composite efficiency score is 89/100 at an estimated $0.000 per successful task.
ui-tars-1.5-7b is tracked at $0.10 per 1M input tokens and $0.20 per 1M output tokens. A typical 3:1 output-to-input workload blends to roughly $0.18 per 1M tokens. Figures are illustrative demo data.
Mixed text, image, audio and document workloads that benefit from one model across modalities.
ui-tars-1.5-7b supports up to a 128K-token context window — large enough for long documents and extended conversations in a single request.
Within the HotON.ai tracked set, ui-tars-1.5-7b is cheaper than 79% of models on input price and ranks #228 of 537 by overall efficiency.
Yes — amazon.nova-lite-v1:0 is a lower-cost option at $0.24 per 1M output tokens, while still covering similar Multimodal 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 — ui-tars-1.5-7b (ByteDance (Doubao)): $0.10/1M input, $0.20/1M output, as of 2026-05-11. https://hoton.ai/en/models/bytedance-ui-tars-1-5-7bPricing 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.