OpenAI: GPT-6 Luna Pro vs DeepSeek: DeepSeek V3.2 Exp: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing OpenAI: GPT-6 Luna Pro (openai/gpt-6-luna-pro) vs DeepSeek: DeepSeek V3.2 Exp (deepseek/deepseek-v3.2-exp). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
OpenAI: GPT-6 Luna Pro (openai/gpt-6-luna-pro) 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 V3.2 Exp (deepseek/deepseek-v3.2-exp) — Automatic Disk KV Cache ($0.135/1M) & 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-6 Luna Pro (API ID: openai/gpt-6-luna-pro) vs DeepSeek: DeepSeek V3.2 Exp (API ID: deepseek/deepseek-v3.2-exp), OpenAI: GPT-6 Luna Pro offers lower standard input pricing at $0.1/1M tokens ($0.5/1M output), while OpenAI: GPT-6 Luna Pro leads in cached prefix economics at $0.05/1M tokens (50% discount). OpenAI: GPT-6 Luna Pro 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-6 Luna Pro | DeepSeek: DeepSeek V3.2 Exp | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | openai/gpt-6-luna-pro | deepseek/deepseek-v3.2-exp | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.1 / $0.5 | $0.27 / $0.41 | OpenAI: GPT-6 Luna Pro |
| Cache Read Price (per 1M) | $0.05/1M (50% Off) | $0.135/1M (50% Off) | OpenAI: GPT-6 Luna Pro |
| Context Window / Max Output | 1025K In / 125K Out | 160K In / 144K Out | DeepSeek: DeepSeek V3.2 Exp |
| P90 First-Token / Edge Latency | 280ms | 280ms | OpenAI: GPT-6 Luna Pro (-0ms) |
GPT-6 Luna Pro is the same underlying model as [GPT-6 Luna](https://openrouter.ai/openai/gpt-6-luna), served with `reasoning.mode` set to `pro` for higher-quality responses on comp
DeepSeek-V3.2-Exp is an experimental large language model released by DeepSeek as an intermediate step between V3.1 and future architectures. It introduces DeepSeek Sparse Attentio
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-6 Luna Pro to DeepSeek: DeepSeek V3.2 Exp
DeepSeek-V3.2-Exp is an experimental large language model released by DeepSeek as an intermediate step between V3.1 and future architectures. It introduces DeepSeek Sparse Attentio Verified P90 latency of 280ms.