DeepSeek: DeepSeek V4.1 Flash (batch) vs DeepSeek-V4 Pro: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing DeepSeek: DeepSeek V4.1 Flash (batch) (deepseek/deepseek-v4.1-flash:batch) vs DeepSeek-V4 Pro (deepseek-v4-pro). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
DeepSeek: DeepSeek V4.1 Flash (batch) (deepseek/deepseek-v4.1-flash:batch) — Automatic Disk KV Cache ($0.056/1M) & 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.
Zero-Config Disk KV Cache ($0.07/1M) & Off-Peak UTC Batch Arbitrage
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.
In Etuki October 2026 FinOps telemetry comparing DeepSeek: DeepSeek V4.1 Flash (batch) (API ID: deepseek/deepseek-v4.1-flash:batch) vs DeepSeek-V4 Pro (API ID: deepseek-v4-pro), DeepSeek: DeepSeek V4.1 Flash (batch) offers lower standard input pricing at $0.112/1M tokens ($0.336/1M output), while DeepSeek: DeepSeek V4.1 Flash (batch) leads in cached prefix economics at $0.056/1M tokens (50% discount). DeepSeek: DeepSeek V4.1 Flash (batch) achieves a 180ms faster P90 time-to-first-token latency (280ms vs 460ms).
Auto-discovered via live global telemetry registry.
Enable Prompt Context Caching & Batch API to reduce repeated system prompt input token burn by 50%-97.5%.
| Specification / FinOps Dimension | DeepSeek: DeepSeek V4.1 Flash (batch) | DeepSeek-V4 Pro | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | deepseek/deepseek-v4.1-flash:batch | deepseek-v4-pro | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.112 / $0.336 | $0.14 / $0.28 | DeepSeek: DeepSeek V4.1 Flash (batch) |
| Cache Read Price (per 1M) | $0.056/1M (50% Off) | $0.07/1M (50% Off) | DeepSeek: DeepSeek V4.1 Flash (batch) |
| Context Window / Max Output | 1024K In / 128K Out | 1000K In / 128K Out | DeepSeek: DeepSeek V4.1 Flash (batch) |
| P90 First-Token / Edge Latency | 280ms | 460ms | DeepSeek: DeepSeek V4.1 Flash (batch) (-180ms) |
DeepSeek V4.1 Flash is a sparse mixture-of-experts model from DeepSeek, and the first built on the company's Causal Encoder-Decoder (CED) architecture. It activates 8B parameters o
1.6-Trillion parameter (49B active) MoE architecture with Fine-Grained Sparse Attention and $0.07/1M disk KV cache hits.
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 V4.1 Flash (batch) to DeepSeek-V4 Pro
1.6-Trillion parameter (49B active) MoE architecture with Fine-Grained Sparse Attention and $0.07/1M disk KV cache hits. Verified P90 latency of 460ms.