Mistral: Saba vs ByteDance: UI-TARS 7B : Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Mistral: Saba (mistralai/mistral-saba) vs ByteDance: UI-TARS 7B (bytedance/ui-tars-1.5-7b). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
Mistral: Saba (mistralai/mistral-saba) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Mistral: Saba: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.1/1M) or route via asynchronous Batch API for 50% off standard token rates.
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 Mistral: Saba (API ID: mistralai/mistral-saba) 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). Mistral: Saba 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 | Mistral: Saba | ByteDance: UI-TARS 7B | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | mistralai/mistral-saba | bytedance/ui-tars-1.5-7b | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.2 / $0.6 | $0.1 / $0.2 | ByteDance: UI-TARS 7B |
| Cache Read Price (per 1M) | $0.1/1M (50% Off) | $0.05/1M (50% Off) | ByteDance: UI-TARS 7B |
| Context Window / Max Output | 32K In / 26K Out | 125K In / 2K Out | Mistral: Saba |
| P90 First-Token / Edge Latency | 280ms | 280ms | Mistral: Saba (-0ms) |
Mistral Saba is a 24B-parameter language model specifically designed for the Middle East and South Asia, delivering accurate and contextually relevant responses while maintaining e
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 Mistral: Saba 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.