OpenAI GPT-5.6 Terra vs DeepSeek: DeepSeek V4 Pro 0813: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing OpenAI GPT-5.6 Terra (gpt-5.6-terra) vs DeepSeek: DeepSeek V4 Pro 0813 (deepseek/deepseek-v4-pro-0813). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
OpenAI GPT-5.6 Terra (gpt-5.6-terra) 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 0813 (deepseek/deepseek-v4-pro-0813) — Automatic Disk KV Cache ($0.66/1M) & 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-5.6 Terra (API ID: gpt-5.6-terra) vs DeepSeek: DeepSeek V4 Pro 0813 (API ID: deepseek/deepseek-v4-pro-0813), DeepSeek: DeepSeek V4 Pro 0813 offers lower standard input pricing at $1.32/1M tokens ($3.96/1M output), while DeepSeek: DeepSeek V4 Pro 0813 leads in cached prefix economics at $0.66/1M tokens (50% discount). DeepSeek: DeepSeek V4 Pro 0813 achieves a 10ms faster P90 time-to-first-token latency (280ms vs 290ms).
Enable Prompt Context Caching & Batch API to reduce repeated system prompt input token burn by 50%-97.5%.
Auto-discovered via live global telemetry registry.
| Specification / FinOps Dimension | OpenAI GPT-5.6 Terra | DeepSeek: DeepSeek V4 Pro 0813 | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | gpt-5.6-terra | deepseek/deepseek-v4-pro-0813 | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $2 / $12 | $1.32 / $3.96 | DeepSeek: DeepSeek V4 Pro 0813 |
| Cache Read Price (per 1M) | $1/1M (50% Off) | $0.66/1M (50% Off) | DeepSeek: DeepSeek V4 Pro 0813 |
| Context Window / Max Output | 400K In / 128K Out | 1024K In / 384K Out | DeepSeek: DeepSeek V4 Pro 0813 |
| P90 First-Token / Edge Latency | 290ms | 280ms | DeepSeek: DeepSeek V4 Pro 0813 (-10ms) |
Balanced enterprise general-purpose model in the GPT-5.6 family with 1M context window.
DeepSeek V4 Pro 0813 is a large-scale mixture-of-experts model from DeepSeek. This is the GA release of DeepSeek V4 Pro.
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-5.6 Terra to DeepSeek: DeepSeek V4 Pro 0813
DeepSeek V4 Pro 0813 is a large-scale mixture-of-experts model from DeepSeek. This is the GA release of DeepSeek V4 Pro. Verified P90 latency of 280ms.