DeepSeek V4 1 Flash 1017 vs Qwen3 14B: Live Promos, Pricing, Hidden Fees & Latency
DeepSeek V4 1 Flash 1017 (deepseek/deepseek-v4.1-flash-1017) — Automatic Disk KV Cache ($0.014/1M) & 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.
Qwen3 14B (qwen/qwen-qwen3.14b) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Qwen3 14B: Activate ephemeral prefix caching to slash input costs by 75% (down to $0.05/1M) or route via asynchronous Batch API for 50% off standard token rates.
In Etuki October 2026 FinOps telemetry comparing DeepSeek V4 1 Flash 1017 (API ID: deepseek/deepseek-v4.1-flash-1017) vs Qwen3 14B (API ID: qwen/qwen-qwen3.14b), DeepSeek V4 1 Flash 1017 offers lower standard input pricing at $0.14/1M tokens ($0.28/1M output), while DeepSeek V4 1 Flash 1017 leads in cached prefix economics at $0.014/1M tokens (75% discount). DeepSeek V4 1 Flash 1017 achieves a 0ms faster P90 time-to-first-token latency (270ms vs 270ms).
Automatic disk-KV caching cuts repeated prompt input costs by 90% ($0.014/1M) with zero manual configuration.
Zero context-cliff surcharge across full 128K context window. Activate prefix caching to slash input token costs by 80% ($0.05/1M).
| Specification / FinOps Dimension | DeepSeek V4 1 Flash 1017 | Qwen3 14B | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | deepseek/deepseek-v4.1-flash-1017 | qwen/qwen-qwen3.14b | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.14 / $0.28 | $0.25 / $1 | DeepSeek V4 1 Flash 1017 |
| Cache Read Price (per 1M) | $0.014/1M (75% Off) | $0.05/1M (75% Off) | DeepSeek V4 1 Flash 1017 |
| Context Window / Max Output | 1000K In / 128K Out | 1000K In / 128K Out | DeepSeek V4 1 Flash 1017 |
| P90 First-Token / Edge Latency | 270ms | 270ms | DeepSeek V4 1 Flash 1017 (-0ms) |
DeepSeek V4 1 Flash 1017 delivers frontier MoE coding and reasoning performance with automatic on-disk KV prefix caching (90% input discount).
Qwen3 14B is Alibaba Cloud's high-efficiency dense reasoning & coding model featuring 128K context, native tool-calling, and 80% prefix cache savings.
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 V4 1 Flash 1017 to Qwen3 14B
Qwen3 14B is Alibaba Cloud's high-efficiency dense reasoning & coding model featuring 128K context, native tool-calling, and 80% prefix cache savings. Verified P90 latency of 270ms.