OpenAI: GPT-6 Luna Pro (batch) vs OpenAI: GPT-3.5 Turbo Instruct: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing OpenAI: GPT-6 Luna Pro (batch) (openai/gpt-6-luna-pro:batch) vs OpenAI: GPT-3.5 Turbo Instruct (openai/gpt-3.5-turbo-instruct). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
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).
OpenAI: GPT-3.5 Turbo Instruct (openai/gpt-3.5-turbo-instruct) 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 OpenAI: GPT-6 Luna Pro (batch) (API ID: openai/gpt-6-luna-pro:batch) vs OpenAI: GPT-3.5 Turbo Instruct (API ID: openai/gpt-3.5-turbo-instruct), 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). OpenAI: GPT-6 Luna Pro (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-6 Luna Pro (batch) | OpenAI: GPT-3.5 Turbo Instruct | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | openai/gpt-6-luna-pro:batch | openai/gpt-3.5-turbo-instruct | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.05 / $0.25 | $1.5 / $2 | OpenAI: GPT-6 Luna Pro (batch) |
| Cache Read Price (per 1M) | $0.025/1M (50% Off) | $0.75/1M (50% Off) | OpenAI: GPT-6 Luna Pro (batch) |
| Context Window / Max Output | 1025K In / 125K Out | 4K In / 4K Out | OpenAI: GPT-6 Luna Pro (batch) |
| P90 First-Token / Edge Latency | 280ms | 280ms | OpenAI: GPT-6 Luna Pro (batch) (-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
This model is a variant of GPT-3.5 Turbo tuned for instructional prompts and omitting chat-related optimizations. Training data: up to Sep 2021.
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 (batch) to OpenAI: GPT-3.5 Turbo Instruct
This model is a variant of GPT-3.5 Turbo tuned for instructional prompts and omitting chat-related optimizations. Training data: up to Sep 2021. Verified P90 latency of 280ms.