AionLabs: Aion-3.0-Mini vs Meituan: LongCat 2.0: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing AionLabs: Aion-3.0-Mini (aion-labs/aion-3.0-mini) vs Meituan: LongCat 2.0 (meituan/longcat-2.0). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
AionLabs: Aion-3.0-Mini (aion-labs/aion-3.0-mini) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for AionLabs: Aion-3.0-Mini: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.35/1M) or route via asynchronous Batch API for 50% off standard token rates.
Meituan: LongCat 2.0 (meituan/longcat-2.0) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Meituan: LongCat 2.0: 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 AionLabs: Aion-3.0-Mini (API ID: aion-labs/aion-3.0-mini) vs Meituan: LongCat 2.0 (API ID: meituan/longcat-2.0), Meituan: LongCat 2.0 offers lower standard input pricing at $0.3/1M tokens ($1.2/1M output), while Meituan: LongCat 2.0 leads in cached prefix economics at $0.15/1M tokens (50% discount). AionLabs: Aion-3.0-Mini 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-3.0-Mini | Meituan: LongCat 2.0 | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | aion-labs/aion-3.0-mini | meituan/longcat-2.0 | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.7 / $1.4 | $0.3 / $1.2 | Meituan: LongCat 2.0 |
| Cache Read Price (per 1M) | $0.35/1M (50% Off) | $0.15/1M (50% Off) | Meituan: LongCat 2.0 |
| Context Window / Max Output | 128K In / 32K Out | 1024K In / 256K Out | Meituan: LongCat 2.0 |
| P90 First-Token / Edge Latency | 280ms | 280ms | AionLabs: Aion-3.0-Mini (-0ms) |
Aion-3.0 Mini is a multi-model roleplaying and storytelling system from AionLabs, built on the DeepSeek family of models. It uses a collaborative generation process in which multip
LongCat 2.0 is a sparse mixture-of-experts language model from Meituan, with 48B active parameters out of 1.6T total. It is suited for coding, repository-level changes, long-horizo
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-3.0-Mini to Meituan: LongCat 2.0
LongCat 2.0 is a sparse mixture-of-experts language model from Meituan, with 48B active parameters out of 1.6T total. It is suited for coding, repository-level changes, long-horizo Verified P90 latency of 280ms.