OpenAI: o3 Mini (batch) vs DeepSeek: DeepSeek V4 Pro 0423: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing OpenAI: o3 Mini (batch) (openai/o3-mini:batch) vs DeepSeek: DeepSeek V4 Pro 0423 (deepseek/deepseek-v4-pro). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
OpenAI: o3 Mini (batch) (openai/o3-mini: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).
DeepSeek: DeepSeek V4 Pro 0423 (deepseek/deepseek-v4-pro) — Automatic Disk KV Cache ($0.4777/1M) & 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.
In Etuki October 2026 FinOps telemetry comparing OpenAI: o3 Mini (batch) (API ID: openai/o3-mini:batch) vs DeepSeek: DeepSeek V4 Pro 0423 (API ID: deepseek/deepseek-v4-pro), OpenAI: o3 Mini (batch) offers lower standard input pricing at $0.55/1M tokens ($2.2/1M output), while OpenAI: o3 Mini (batch) leads in cached prefix economics at $0.275/1M tokens (50% discount). OpenAI: o3 Mini (batch) 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 | OpenAI: o3 Mini (batch) | DeepSeek: DeepSeek V4 Pro 0423 | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | openai/o3-mini:batch | deepseek/deepseek-v4-pro | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.55 / $2.2 | $0.9553 / $1.9105 | OpenAI: o3 Mini (batch) |
| Cache Read Price (per 1M) | $0.275/1M (50% Off) | $0.4777/1M (50% Off) | OpenAI: o3 Mini (batch) |
| Context Window / Max Output | 195K In / 98K Out | 1024K In / 375K Out | DeepSeek: DeepSeek V4 Pro 0423 |
| P90 First-Token / Edge Latency | 280ms | 280ms | OpenAI: o3 Mini (batch) (-0ms) |
OpenAI o3-mini is a cost-efficient language model optimized for STEM reasoning tasks, particularly excelling in science, mathematics, and coding. This model supports the `reasoning
DeepSeek V4 Pro is a large-scale Mixture-of-Experts model from DeepSeek with 1.6T total parameters and 49B activated parameters, supporting a 1M-token context window. It is designe
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 OpenAI: o3 Mini (batch) to DeepSeek: DeepSeek V4 Pro 0423
DeepSeek V4 Pro is a large-scale Mixture-of-Experts model from DeepSeek with 1.6T total parameters and 49B activated parameters, supporting a 1M-token context window. It is designe Verified P90 latency of 280ms.