DeepSeek: DeepSeek V4.1 Flash vs OpenAI: GPT-5.2 (batch): Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing DeepSeek: DeepSeek V4.1 Flash (deepseek/deepseek-v4.1-flash) vs OpenAI: GPT-5.2 (batch) (openai/gpt-5.2:batch). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
DeepSeek: DeepSeek V4.1 Flash (deepseek/deepseek-v4.1-flash) — Automatic Disk KV Cache ($0.0119/1M) & 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.
OpenAI: GPT-5.2 (batch) (openai/gpt-5.2:batch) Startup Credits & Batch API 50% Off Promo
OpenAI GPT-6.1 Sol ($2/$10 base rate) qualifies for immediate 75% automatic prefix caching ($0.50/1M), 50% off 24-hour Batch API completions ($1/$5), and up to $150,000 in OpenAI/Azure Foundry credits via Microsoft for Startups Founders Hub (no VC funding required for initial tiers).
In Etuki October 2026 FinOps telemetry comparing DeepSeek: DeepSeek V4.1 Flash (API ID: deepseek/deepseek-v4.1-flash) vs OpenAI: GPT-5.2 (batch) (API ID: openai/gpt-5.2:batch), DeepSeek: DeepSeek V4.1 Flash offers lower standard input pricing at $0.0238/1M tokens ($0.72/1M output), while DeepSeek: DeepSeek V4.1 Flash leads in cached prefix economics at $0.0119/1M tokens (50% discount). DeepSeek: DeepSeek V4.1 Flash 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 V4.1 Flash | OpenAI: GPT-5.2 (batch) | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | deepseek/deepseek-v4.1-flash | openai/gpt-5.2:batch | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.0238 / $0.72 | $0.875 / $7 | DeepSeek: DeepSeek V4.1 Flash |
| Cache Read Price (per 1M) | $0.0119/1M (50% Off) | $0.4375/1M (50% Off) | DeepSeek: DeepSeek V4.1 Flash |
| Context Window / Max Output | 1024K In / 922K Out | 391K In / 125K Out | DeepSeek: DeepSeek V4.1 Flash |
| P90 First-Token / Edge Latency | 280ms | 280ms | DeepSeek: DeepSeek V4.1 Flash (-0ms) |
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
GPT-5.2 is the latest frontier-grade model in the GPT-5 series, offering stronger agentic and long context perfomance compared to GPT-5.1. It uses adaptive reasoning to allocate co
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 to OpenAI: GPT-5.2 (batch)
GPT-5.2 is the latest frontier-grade model in the GPT-5 series, offering stronger agentic and long context perfomance compared to GPT-5.1. It uses adaptive reasoning to allocate co Verified P90 latency of 280ms.