DeepSeek: DeepSeek Pro Latest vs Qwen: Qwen3.8 Omni Flash: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing DeepSeek: DeepSeek Pro Latest (~deepseek/deepseek-pro-latest) vs Qwen: Qwen3.8 Omni Flash (qwen/qwen3.8-omni-flash). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
DeepSeek: DeepSeek Pro Latest (~deepseek/deepseek-pro-latest) — Automatic Disk KV Cache ($0.0654/1M) & Off-Peak Promo
DeepSeek-V4 Pro (1.6T MoE) automatically caches repeated 64-token prompt prefixes on NVMe storage at $0.07/1M input tokens (50% off $0.14 base) with zero code changes required, plus off-peak UTC scheduling discounts.
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.
In Etuki October 2026 FinOps telemetry comparing DeepSeek: DeepSeek Pro Latest (API ID: ~deepseek/deepseek-pro-latest) vs Qwen: Qwen3.8 Omni Flash (API ID: qwen/qwen3.8-omni-flash), DeepSeek: DeepSeek Pro Latest offers lower standard input pricing at $0.1307/1M tokens ($8/1M output), while DeepSeek: DeepSeek Pro Latest leads in cached prefix economics at $0.0654/1M tokens (50% discount). DeepSeek: DeepSeek Pro Latest 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 | DeepSeek: DeepSeek Pro Latest | Qwen: Qwen3.8 Omni Flash | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | ~deepseek/deepseek-pro-latest | qwen/qwen3.8-omni-flash | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.1307 / $8 | $0.15 / $0.47 | DeepSeek: DeepSeek Pro Latest |
| Cache Read Price (per 1M) | $0.0654/1M (50% Off) | $0.075/1M (50% Off) | DeepSeek: DeepSeek Pro Latest |
| Context Window / Max Output | 1024K In / 384K Out | 977K In / 128K Out | DeepSeek: DeepSeek Pro Latest |
| P90 First-Token / Edge Latency | 280ms | 280ms | DeepSeek: DeepSeek Pro Latest (-0ms) |
This model always redirects to the latest model in the DeepSeek Pro family.
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
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 DeepSeek: DeepSeek Pro Latest to Qwen: Qwen3.8 Omni Flash
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 Verified P90 latency of 280ms.