DeepSeek: DeepSeek V4 Flash 0423 vs Meta Llama 4 Scout: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing DeepSeek: DeepSeek V4 Flash 0423 (deepseek/deepseek-v4-flash) vs Meta Llama 4 Scout (llama-4-scout). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
DeepSeek: DeepSeek V4 Flash 0423 (deepseek/deepseek-v4-flash) — Automatic Disk KV Cache ($0.0455/1M) & 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.
Meta Llama 4 Scout (llama-4-scout) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Meta Llama 4 Scout: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.225/1M) or route via asynchronous Batch API for 50% off standard token rates.
In Etuki October 2026 FinOps telemetry comparing DeepSeek: DeepSeek V4 Flash 0423 (API ID: deepseek/deepseek-v4-flash) vs Meta Llama 4 Scout (API ID: llama-4-scout), DeepSeek: DeepSeek V4 Flash 0423 offers lower standard input pricing at $0.091/1M tokens ($0.182/1M output), while DeepSeek: DeepSeek V4 Flash 0423 leads in cached prefix economics at $0.0455/1M tokens (50% discount). Meta Llama 4 Scout achieves a 140ms faster P90 time-to-first-token latency (140ms vs 280ms).
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 Flash 0423 | Meta Llama 4 Scout | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | deepseek/deepseek-v4-flash | llama-4-scout | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.091 / $0.182 | $0.45 / $0.65 | DeepSeek: DeepSeek V4 Flash 0423 |
| Cache Read Price (per 1M) | $0.0455/1M (50% Off) | $0.225/1M (50% Off) | DeepSeek: DeepSeek V4 Flash 0423 |
| Context Window / Max Output | 1024K In / 922K Out | 400K In / 128K Out | DeepSeek: DeepSeek V4 Flash 0423 |
| P90 First-Token / Edge Latency | 280ms | 140ms | Meta Llama 4 Scout (-140ms) |
DeepSeek V4 Flash is an efficiency-optimized Mixture-of-Experts model from DeepSeek with 284B total parameters and 13B activated parameters, supporting a 1M-token context window. I
Meta open-weight multimodal MoE model supporting 10M+ extended context on dedicated clusters.
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 0423 to Meta Llama 4 Scout
Meta open-weight multimodal MoE model supporting 10M+ extended context on dedicated clusters. Verified P90 latency of 140ms.