OpenAI: GPT-5.6 Luna (batch) vs OpenAI: GPT-5.4: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing OpenAI: GPT-5.6 Luna (batch) (openai/gpt-5.6-luna:batch) vs OpenAI: GPT-5.4 (openai/gpt-5.4). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
OpenAI: GPT-5.6 Luna (batch) (openai/gpt-5.6-luna: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-5.4 (openai/gpt-5.4) 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-5.6 Luna (batch) (API ID: openai/gpt-5.6-luna:batch) vs OpenAI: GPT-5.4 (API ID: openai/gpt-5.4), OpenAI: GPT-5.6 Luna (batch) offers lower standard input pricing at $0.1/1M tokens ($0.6/1M output), while OpenAI: GPT-5.6 Luna (batch) leads in cached prefix economics at $0.05/1M tokens (50% discount). OpenAI: GPT-5.6 Luna (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-5.6 Luna (batch) | OpenAI: GPT-5.4 | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | openai/gpt-5.6-luna:batch | openai/gpt-5.4 | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.1 / $0.6 | $2.5 / $15 | OpenAI: GPT-5.6 Luna (batch) |
| Cache Read Price (per 1M) | $0.05/1M (50% Off) | $1.25/1M (50% Off) | OpenAI: GPT-5.6 Luna (batch) |
| Context Window / Max Output | 1025K In / 125K Out | 1025K In / 125K Out | OpenAI: GPT-5.6 Luna (batch) |
| P90 First-Token / Edge Latency | 280ms | 280ms | OpenAI: GPT-5.6 Luna (batch) (-0ms) |
GPT-5.6 Luna is a fast, cost-efficient model in OpenAI's GPT-5.6 series. It is suited for high-volume, latency-sensitive tasks such as chat, classification, and lightweight agentic
GPT-5.4 is OpenAI’s latest frontier model, unifying the Codex and GPT lines into a single system. It features a 1M+ token context window (922K input, 128K output) with support for.
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 Luna (batch) to OpenAI: GPT-5.4
GPT-5.4 is OpenAI’s latest frontier model, unifying the Codex and GPT lines into a single system. It features a 1M+ token context window (922K input, 128K output) with support for. Verified P90 latency of 280ms.