OpenAI: GPT-6 Luna vs MiniMax: MiniMax M3: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing OpenAI: GPT-6 Luna (openai/gpt-6-luna) vs MiniMax: MiniMax M3 (minimax/minimax-m3). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
OpenAI: GPT-6 Luna (openai/gpt-6-luna) 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).
MiniMax: MiniMax M3 (minimax/minimax-m3) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for MiniMax: MiniMax M3: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.15/1M) or route via asynchronous Batch API for 50% off standard token rates.
In Etuki October 2026 FinOps telemetry comparing OpenAI: GPT-6 Luna (API ID: openai/gpt-6-luna) vs MiniMax: MiniMax M3 (API ID: minimax/minimax-m3), OpenAI: GPT-6 Luna offers lower standard input pricing at $0.1/1M tokens ($0.5/1M output), while OpenAI: GPT-6 Luna leads in cached prefix economics at $0.05/1M tokens (50% discount). OpenAI: GPT-6 Luna 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 | MiniMax: MiniMax M3 | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | openai/gpt-6-luna | minimax/minimax-m3 | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.1 / $0.5 | $0.3 / $1.2 | OpenAI: GPT-6 Luna |
| Cache Read Price (per 1M) | $0.05/1M (50% Off) | $0.15/1M (50% Off) | OpenAI: GPT-6 Luna |
| Context Window / Max Output | 1025K In / 125K Out | 1024K In / 500K Out | MiniMax: MiniMax M3 |
| P90 First-Token / Edge Latency | 280ms | 280ms | OpenAI: GPT-6 Luna (-0ms) |
GPT-6 Luna is the fast, cost-efficient model in OpenAI's GPT-6 series, positioned below GPT-6 Sol. It is suited for high-volume and latency-sensitive workloads such as chat, classi
MiniMax-M3 is a multimodal foundation model from MiniMax. It supports text, image, and video inputs with text output, a 1M-token context window, and is suited for long-horizon agen
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 to MiniMax: MiniMax M3
MiniMax-M3 is a multimodal foundation model from MiniMax. It supports text, image, and video inputs with text output, a 1M-token context window, and is suited for long-horizon agen Verified P90 latency of 280ms.