OpenAI: GPT-5.6 Luna vs Thinking Machines: Inkling Small: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing OpenAI: GPT-5.6 Luna (openai/gpt-5.6-luna) vs Thinking Machines: Inkling Small (thinkingmachines/inkling-small). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
OpenAI: GPT-5.6 Luna (openai/gpt-5.6-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).
Thinking Machines: Inkling Small (thinkingmachines/inkling-small) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Thinking Machines: Inkling Small: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.225/1M) or route via asynchronous Batch API for 50% off standard token rates.
In Etuki October 2026 FinOps telemetry comparing OpenAI: GPT-5.6 Luna (API ID: openai/gpt-5.6-luna) vs Thinking Machines: Inkling Small (API ID: thinkingmachines/inkling-small), OpenAI: GPT-5.6 Luna offers lower standard input pricing at $0.2/1M tokens ($1.2/1M output), while OpenAI: GPT-5.6 Luna leads in cached prefix economics at $0.1/1M tokens (50% discount). OpenAI: GPT-5.6 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-5.6 Luna | Thinking Machines: Inkling Small | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | openai/gpt-5.6-luna | thinkingmachines/inkling-small | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.2 / $1.2 | $0.45 / $1.2 | OpenAI: GPT-5.6 Luna |
| Cache Read Price (per 1M) | $0.1/1M (50% Off) | $0.225/1M (50% Off) | OpenAI: GPT-5.6 Luna |
| Context Window / Max Output | 1025K In / 125K Out | 512K In / 256K Out | Thinking Machines: Inkling Small |
| P90 First-Token / Edge Latency | 280ms | 280ms | OpenAI: GPT-5.6 Luna (-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
Inkling Small is an open-weight multimodal mixture-of-experts model from Thinking Machines Lab, with 12B active parameters out of 276B total. It is positioned as the smaller, more
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 to Thinking Machines: Inkling Small
Inkling Small is an open-weight multimodal mixture-of-experts model from Thinking Machines Lab, with 12B active parameters out of 276B total. It is positioned as the smaller, more Verified P90 latency of 280ms.