OpenAI: GPT-5 Nano (batch) vs DeepSeek: DeepSeek V4 Flash 0731: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing OpenAI: GPT-5 Nano (batch) (openai/gpt-5-nano:batch) vs DeepSeek: DeepSeek V4 Flash 0731 (deepseek/deepseek-v4-flash-0731). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
OpenAI: GPT-5 Nano (batch) (openai/gpt-5-nano: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 Flash 0731 (deepseek/deepseek-v4-flash-0731) — Automatic Disk KV Cache ($0.008/1M) & 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: GPT-5 Nano (batch) (API ID: openai/gpt-5-nano:batch) vs DeepSeek: DeepSeek V4 Flash 0731 (API ID: deepseek/deepseek-v4-flash-0731), DeepSeek: DeepSeek V4 Flash 0731 offers lower standard input pricing at $0.016/1M tokens ($0.64/1M output), while DeepSeek: DeepSeek V4 Flash 0731 leads in cached prefix economics at $0.008/1M tokens (50% discount). OpenAI: GPT-5 Nano (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: GPT-5 Nano (batch) | DeepSeek: DeepSeek V4 Flash 0731 | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | openai/gpt-5-nano:batch | deepseek/deepseek-v4-flash-0731 | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.025 / $0.2 | $0.016 / $0.64 | DeepSeek: DeepSeek V4 Flash 0731 |
| Cache Read Price (per 1M) | $0.0125/1M (50% Off) | $0.008/1M (50% Off) | DeepSeek: DeepSeek V4 Flash 0731 |
| Context Window / Max Output | 391K In / 125K Out | 1024K In / 922K Out | DeepSeek: DeepSeek V4 Flash 0731 |
| P90 First-Token / Edge Latency | 280ms | 280ms | OpenAI: GPT-5 Nano (batch) (-0ms) |
GPT-5-Nano is the smallest and fastest variant in the GPT-5 system, optimized for developer tools, rapid interactions, and ultra-low latency environments. While limited in reasonin
DeepSeek V4 Flash 0731 is a sparse mixture-of-experts model from DeepSeek, with 13B active parameters out of 284B total. This re-post-trained revision is suited for coding, reasoni
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: GPT-5 Nano (batch) to DeepSeek: DeepSeek V4 Flash 0731
DeepSeek V4 Flash 0731 is a sparse mixture-of-experts model from DeepSeek, with 13B active parameters out of 284B total. This re-post-trained revision is suited for coding, reasoni Verified P90 latency of 280ms.