AionLabs: Aion 3.5 vs OpenAI: o3 Mini: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing AionLabs: Aion 3.5 (aion-labs/aion-3.5) vs OpenAI: o3 Mini (openai/o3-mini). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
AionLabs: Aion 3.5 (aion-labs/aion-3.5) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for AionLabs: Aion 3.5: Activate ephemeral prefix caching to slash input costs by 50% (down to $1.5/1M) or route via asynchronous Batch API for 50% off standard token rates.
OpenAI: o3 Mini (openai/o3-mini) 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 AionLabs: Aion 3.5 (API ID: aion-labs/aion-3.5) vs OpenAI: o3 Mini (API ID: openai/o3-mini), OpenAI: o3 Mini offers lower standard input pricing at $1.1/1M tokens ($4.4/1M output), while OpenAI: o3 Mini leads in cached prefix economics at $0.55/1M tokens (50% discount). AionLabs: Aion 3.5 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 | AionLabs: Aion 3.5 | OpenAI: o3 Mini | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | aion-labs/aion-3.5 | openai/o3-mini | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $3 / $6 | $1.1 / $4.4 | OpenAI: o3 Mini |
| Cache Read Price (per 1M) | $1.5/1M (50% Off) | $0.55/1M (50% Off) | OpenAI: o3 Mini |
| Context Window / Max Output | 256K In / 32K Out | 195K In / 98K Out | OpenAI: o3 Mini |
| P90 First-Token / Edge Latency | 280ms | 280ms | AionLabs: Aion 3.5 (-0ms) |
Aion 3.5 is a multi-model roleplaying and storytelling system from AionLabs, built on the GLM family of models. It uses a collaborative generation process in which multiple special
OpenAI o3-mini is a cost-efficient language model optimized for STEM reasoning tasks, particularly excelling in science, mathematics, and coding. This model supports the `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 AionLabs: Aion 3.5 to OpenAI: o3 Mini
OpenAI o3-mini is a cost-efficient language model optimized for STEM reasoning tasks, particularly excelling in science, mathematics, and coding. This model supports the `reasoning Verified P90 latency of 280ms.