Qwen: Qwen3.8 Omni Flash vs OpenAI: o1: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Qwen: Qwen3.8 Omni Flash (qwen/qwen3.8-omni-flash) vs OpenAI: o1 (openai/o1). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
Qwen: Qwen3.8 Omni Flash (qwen/qwen3.8-omni-flash) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Qwen: Qwen3.8 Omni Flash: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.075/1M) or route via asynchronous Batch API for 50% off standard token rates.
OpenAI: o1 (openai/o1) 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).
In Etuki October 2026 FinOps telemetry comparing Qwen: Qwen3.8 Omni Flash (API ID: qwen/qwen3.8-omni-flash) vs OpenAI: o1 (API ID: openai/o1), Qwen: Qwen3.8 Omni Flash offers lower standard input pricing at $0.15/1M tokens ($0.47/1M output), while Qwen: Qwen3.8 Omni Flash leads in cached prefix economics at $0.075/1M tokens (50% discount). Qwen: Qwen3.8 Omni Flash 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 | Qwen: Qwen3.8 Omni Flash | OpenAI: o1 | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | qwen/qwen3.8-omni-flash | openai/o1 | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.15 / $0.47 | $15 / $60 | Qwen: Qwen3.8 Omni Flash |
| Cache Read Price (per 1M) | $0.075/1M (50% Off) | $7.5/1M (50% Off) | Qwen: Qwen3.8 Omni Flash |
| Context Window / Max Output | 977K In / 128K Out | 195K In / 98K Out | Qwen: Qwen3.8 Omni Flash |
| P90 First-Token / Edge Latency | 280ms | 280ms | Qwen: Qwen3.8 Omni Flash (-0ms) |
Qwen3.8 Omni Flash is an omni-modal reasoning model from Alibaba, the first Qwen model built around agentic capabilities with native audio-video understanding. It is suited for aud
The latest and strongest model family from OpenAI, o1 is designed to spend more time thinking before responding. The o1 model series is trained with large-scale reinforcement learn
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 Qwen: Qwen3.8 Omni Flash to OpenAI: o1
The latest and strongest model family from OpenAI, o1 is designed to spend more time thinking before responding. The o1 model series is trained with large-scale reinforcement learn Verified P90 latency of 280ms.