OpenAI: GPT-4.1 Nano vs Thinking Machines: Inkling (free): Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing OpenAI: GPT-4.1 Nano (openai/gpt-4.1-nano) vs Thinking Machines: Inkling (free) (thinkingmachines/inkling:free). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
OpenAI: GPT-4.1 Nano (openai/gpt-4.1-nano) 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 (free) (thinkingmachines/inkling:free) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Thinking Machines: Inkling (free): Activate ephemeral prefix caching to slash input costs by 50% (down to $0/1M) or route via asynchronous Batch API for 50% off standard token rates.
In Etuki October 2026 FinOps telemetry comparing OpenAI: GPT-4.1 Nano (API ID: openai/gpt-4.1-nano) vs Thinking Machines: Inkling (free) (API ID: thinkingmachines/inkling:free), Thinking Machines: Inkling (free) offers lower standard input pricing at $0/1M tokens ($0/1M output), while Thinking Machines: Inkling (free) leads in cached prefix economics at $0/1M tokens (50% discount). OpenAI: GPT-4.1 Nano 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-4.1 Nano | Thinking Machines: Inkling (free) | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | openai/gpt-4.1-nano | thinkingmachines/inkling:free | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.1 / $0.4 | $0 / $0 | Thinking Machines: Inkling (free) |
| Cache Read Price (per 1M) | $0.05/1M (50% Off) | $0/1M (50% Off) | Thinking Machines: Inkling (free) |
| Context Window / Max Output | 1023K In / 32K Out | 1024K In / 256K Out | Thinking Machines: Inkling (free) |
| P90 First-Token / Edge Latency | 280ms | 280ms | OpenAI: GPT-4.1 Nano (-0ms) |
For tasks that demand low latency, GPT‑4.1 nano is the fastest and cheapest model in the GPT-4.1 series. It delivers exceptional performance at a small size with its 1 million...
Inkling is an open-weight multimodal mixture-of-experts model from Thinking Machines Lab, with 41B active parameters out of 975B total. It is designed for general-purpose reasoning
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-4.1 Nano to Thinking Machines: Inkling (free)
Inkling is an open-weight multimodal mixture-of-experts model from Thinking Machines Lab, with 41B active parameters out of 975B total. It is designed for general-purpose reasoning Verified P90 latency of 280ms.