ByteDance: UI-TARS 7B vs Xiaomi: MiMo-V2.6-Pro: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing ByteDance: UI-TARS 7B (bytedance/ui-tars-1.5-7b) vs Xiaomi: MiMo-V2.6-Pro (xiaomi/mimo-v2.6-pro). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
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.
Xiaomi: MiMo-V2.6-Pro (xiaomi/mimo-v2.6-pro) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Xiaomi: MiMo-V2.6-Pro: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.2175/1M) or route via asynchronous Batch API for 50% off standard token rates.
In Etuki October 2026 FinOps telemetry comparing ByteDance: UI-TARS 7B (API ID: bytedance/ui-tars-1.5-7b) vs Xiaomi: MiMo-V2.6-Pro (API ID: xiaomi/mimo-v2.6-pro), 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). ByteDance: UI-TARS 7B 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 | ByteDance: UI-TARS 7B | Xiaomi: MiMo-V2.6-Pro | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | bytedance/ui-tars-1.5-7b | xiaomi/mimo-v2.6-pro | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.1 / $0.2 | $0.435 / $0.87 | ByteDance: UI-TARS 7B |
| Cache Read Price (per 1M) | $0.05/1M (50% Off) | $0.2175/1M (50% Off) | ByteDance: UI-TARS 7B |
| Context Window / Max Output | 125K In / 2K Out | 1025K In / 128K Out | Xiaomi: MiMo-V2.6-Pro |
| P90 First-Token / Edge Latency | 280ms | 280ms | ByteDance: UI-TARS 7B (-0ms) |
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
MiMo-V2.6-Pro is the flagship foundation model developed by Xiaomi. Built at a scale of over 1T parameters, it is designed to push the ceiling of capability for the most demanding.
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 ByteDance: UI-TARS 7B to Xiaomi: MiMo-V2.6-Pro
MiMo-V2.6-Pro is the flagship foundation model developed by Xiaomi. Built at a scale of over 1T parameters, it is designed to push the ceiling of capability for the most demanding. Verified P90 latency of 280ms.