OpenAI: o4 Mini vs ByteDance: UI-TARS 7B : Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing OpenAI: o4 Mini (openai/o4-mini) vs ByteDance: UI-TARS 7B (bytedance/ui-tars-1.5-7b). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
OpenAI: o4 Mini (openai/o4-mini) Startup Credits & Batch API 50% Off Promo
OpenAI GPT-6.1 Sol ($2/$10 base rate) qualifies for immediate 75% automatic prefix caching ($0.50/1M), 50% off 24-hour Batch API completions ($1/$5), and up to $150,000 in OpenAI/Azure Foundry credits via Microsoft for Startups Founders Hub (no VC funding required for initial tiers).
ByteDance: UI-TARS 7B (bytedance/ui-tars-1.5-7b) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for ByteDance: UI-TARS 7B : Activate ephemeral prefix caching to slash input costs by 50% (down to $0.05/1M) or route via asynchronous Batch API for 50% off standard token rates.
In Etuki October 2026 FinOps telemetry comparing OpenAI: o4 Mini (API ID: openai/o4-mini) vs ByteDance: UI-TARS 7B (API ID: bytedance/ui-tars-1.5-7b), ByteDance: UI-TARS 7B offers lower standard input pricing at $0.1/1M tokens ($0.2/1M output), while ByteDance: UI-TARS 7B leads in cached prefix economics at $0.05/1M tokens (50% discount). OpenAI: o4 Mini achieves a 0ms faster P90 time-to-first-token latency (280ms vs 280ms).
Auto-discovered via live global telemetry registry.
Auto-discovered via live global telemetry registry.
| Specification / FinOps Dimension | OpenAI: o4 Mini | ByteDance: UI-TARS 7B | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | openai/o4-mini | bytedance/ui-tars-1.5-7b | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $1.1 / $4.4 | $0.1 / $0.2 | ByteDance: UI-TARS 7B |
| Cache Read Price (per 1M) | $0.55/1M (50% Off) | $0.05/1M (50% Off) | ByteDance: UI-TARS 7B |
| Context Window / Max Output | 195K In / 98K Out | 125K In / 2K Out | OpenAI: o4 Mini |
| P90 First-Token / Edge Latency | 280ms | 280ms | OpenAI: o4 Mini (-0ms) |
OpenAI o4-mini is a compact reasoning model in the o-series, optimized for fast, cost-efficient performance while retaining strong multimodal and agentic capabilities. It supports
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, i
Real-Time Stack Cost & Hidden-Fee Simulator (MAU / Token / Egress / GMV)
Calibrated with Reddit r/FinOps & r/devops telemetry: Includes Context Caching, Bandwidth Egress, and MoR Tax
🛰️Switch from OpenAI: o4 Mini to 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, i Verified P90 latency of 280ms.