DeepSeek: DeepSeek V4 Flash Vision Exp vs Qwen: Qwen3.5 397B A17B: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing DeepSeek: DeepSeek V4 Flash Vision Exp (deepseek/deepseek-v4-flash-vision-exp) vs Qwen: Qwen3.5 397B A17B (qwen/qwen3.5-397b-a17b). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
DeepSeek: DeepSeek V4 Flash Vision Exp (deepseek/deepseek-v4-flash-vision-exp) — Automatic Disk KV Cache ($0.1078/1M) & 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: Qwen3.5 397B A17B (qwen/qwen3.5-397b-a17b) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Qwen: Qwen3.5 397B A17B: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.25/1M) or route via asynchronous Batch API for 50% off standard token rates.
In Etuki October 2026 FinOps telemetry comparing DeepSeek: DeepSeek V4 Flash Vision Exp (API ID: deepseek/deepseek-v4-flash-vision-exp) vs Qwen: Qwen3.5 397B A17B (API ID: qwen/qwen3.5-397b-a17b), DeepSeek: DeepSeek V4 Flash Vision Exp offers lower standard input pricing at $0.2156/1M tokens ($0.6468/1M output), while DeepSeek: DeepSeek V4 Flash Vision Exp leads in cached prefix economics at $0.1078/1M tokens (50% discount). DeepSeek: DeepSeek V4 Flash Vision Exp 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 V4 Flash Vision Exp | Qwen: Qwen3.5 397B A17B | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | deepseek/deepseek-v4-flash-vision-exp | qwen/qwen3.5-397b-a17b | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.2156 / $0.6468 | $0.5 / $3.6 | DeepSeek: DeepSeek V4 Flash Vision Exp |
| Cache Read Price (per 1M) | $0.1078/1M (50% Off) | $0.25/1M (50% Off) | DeepSeek: DeepSeek V4 Flash Vision Exp |
| Context Window / Max Output | 1024K In / 256K Out | 256K In / 230K Out | DeepSeek: DeepSeek V4 Flash Vision Exp |
| P90 First-Token / Edge Latency | 280ms | 280ms | DeepSeek: DeepSeek V4 Flash Vision Exp (-0ms) |
DeepSeek: DeepSeek V4 Flash Vision Exp
API ID: deepseek/deepseek-v4-flash-vision-exp • Live RegistryDeepSeek V4 Flash Vision Exp is an experimental vision-enabled version of [DeepSeek V4 Flash 0731](https://openrouter.ai/deepseek/deepseek-v4-flash-0731) from DeepSeek, adding imag
The Qwen3.5 series 397B-A17B native vision-language model is built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, ach
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 V4 Flash Vision Exp to Qwen: Qwen3.5 397B A17B
The Qwen3.5 series 397B-A17B native vision-language model is built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, ach Verified P90 latency of 280ms.