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ByteDance: UI-TARS 7B API Pricing

ByteDance: UI-TARS 7B costs $0.100 per 1M input tokens and $0.200 per 1M output tokens (cache reads: $0.100). Context window: 128K. Prices verified 2026-10-21 · source

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Price history
2026-08-23 → 2026-10-21 · 59 daily snapshots
inputoutput

Rebuilt daily from our snapshot archive — the chart appears once a model has 5+ snapshots of history.

Community adoption
175K
HF downloads
612
Likes

High adoption means battle-tested weights, more fine-tunes/quants, and faster bug fixes. View on HuggingFace →

Pricing behavior
Stable — no price moves across our 59 daily snapshots (2026-08-23 → 2026-10-21).

From our own daily snapshot archive — independent of provider announcements.

Input / 1M tokens
$0.100
Output / 1M tokens
$0.200
Context window
128K
Max output
2K

Token economics

Token typePricevs base input
Standard input$0.100—
Cache read$0.100−0%
Output$0.200—

Prompt caching stores repeated context server-side: reads cost far less, but writes carry a one-time premium.

Knowledge cutoff
2025-01-31

Training data ends here — newer events require retrieval or web search.

What would ByteDance: UI-TARS 7B cost you per month?

WorkloadRequests/moAvg tokens (in/out)Est. monthly cost
Light chatbot10,000800 / 400$1.60
Coding agent5,0008,000 / 2,000$6.00
RAG pipeline30,0004,000 / 500$15.00
Doc summarizer2,00020,000 / 1,000$4.40

Estimates use list prices without prompt caching. Caching can cut input cost by up to 90% on repeated context.

About ByteDance: UI-TARS 7B

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 with reinforcement...

Compare ByteDance: UI-TARS 7B with

Popular head-to-heads — see all on the comparisons index.

Frequently asked questions

How much does ByteDance: UI-TARS 7B cost?

ByteDance: UI-TARS 7B costs $0.100 per 1M input tokens and $0.200 per 1M output tokens; cached input tokens cost $0.100 per 1M. Verified 2026-10-21 — provider source.

What is the context window?

128K tokens, with up to 2K output tokens per response. That's roughly 160 pages of text in a single request.

Does it support prompt caching?

Yes — cached input is $0.100/1M, about 0% cheaper than standard input. Agents and RAG workloads with repeated context benefit most.

What's a cheaper alternative?

ScaleDown: Summarize saves about 78% on a typical workload with comparable quality.

Official resources