DeepSeek: DeepSeek V3.1 Terminus vs OpenAI: GPT-6 Luna Pro (batch): Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing DeepSeek: DeepSeek V3.1 Terminus (deepseek/deepseek-v3.1-terminus) vs OpenAI: GPT-6 Luna Pro (batch) (openai/gpt-6-luna-pro:batch). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
DeepSeek: DeepSeek V3.1 Terminus (deepseek/deepseek-v3.1-terminus) — 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.
OpenAI: GPT-6 Luna Pro (batch) (openai/gpt-6-luna-pro: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 V3.1 Terminus (API ID: deepseek/deepseek-v3.1-terminus) vs OpenAI: GPT-6 Luna Pro (batch) (API ID: openai/gpt-6-luna-pro:batch), OpenAI: GPT-6 Luna Pro (batch) offers lower standard input pricing at $0.05/1M tokens ($0.25/1M output), while OpenAI: GPT-6 Luna Pro (batch) leads in cached prefix economics at $0.025/1M tokens (50% discount). DeepSeek: DeepSeek V3.1 Terminus 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 V3.1 Terminus | OpenAI: GPT-6 Luna Pro (batch) | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | deepseek/deepseek-v3.1-terminus | openai/gpt-6-luna-pro:batch | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.27 / $1 | $0.05 / $0.25 | OpenAI: GPT-6 Luna Pro (batch) |
| Cache Read Price (per 1M) | $0.135/1M (50% Off) | $0.025/1M (50% Off) | OpenAI: GPT-6 Luna Pro (batch) |
| Context Window / Max Output | 160K In / 144K Out | 1025K In / 125K Out | DeepSeek: DeepSeek V3.1 Terminus |
| P90 First-Token / Edge Latency | 280ms | 280ms | DeepSeek: DeepSeek V3.1 Terminus (-0ms) |
DeepSeek-V3.1 Terminus is an update to [DeepSeek V3.1](/deepseek/deepseek-chat-v3.1) that maintains the model's original capabilities while addressing issues reported by users, inc
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
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 V3.1 Terminus to OpenAI: GPT-6 Luna Pro (batch)
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 Verified P90 latency of 280ms.