AionLabs: Aion 3.5 vs MiniMax: MiniMax M2-her: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing AionLabs: Aion 3.5 (aion-labs/aion-3.5) vs MiniMax: MiniMax M2-her (minimax/minimax-m2-her). 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.
MiniMax: MiniMax M2-her (minimax/minimax-m2-her) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for MiniMax: MiniMax M2-her: 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 3.5 (API ID: aion-labs/aion-3.5) vs MiniMax: MiniMax M2-her (API ID: minimax/minimax-m2-her), MiniMax: MiniMax M2-her offers lower standard input pricing at $0.3/1M tokens ($1.2/1M output), while MiniMax: MiniMax M2-her leads in cached prefix economics at $0.15/1M 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 | MiniMax: MiniMax M2-her | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | aion-labs/aion-3.5 | minimax/minimax-m2-her | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $3 / $6 | $0.3 / $1.2 | MiniMax: MiniMax M2-her |
| Cache Read Price (per 1M) | $1.5/1M (50% Off) | $0.15/1M (50% Off) | MiniMax: MiniMax M2-her |
| Context Window / Max Output | 256K In / 32K Out | 64K In / 2K Out | AionLabs: Aion 3.5 |
| 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
MiniMax M2-her is a dialogue-first large language model built for immersive roleplay, character-driven chat, and expressive multi-turn conversations. Designed to stay consistent in
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 MiniMax: MiniMax M2-her
MiniMax M2-her is a dialogue-first large language model built for immersive roleplay, character-driven chat, and expressive multi-turn conversations. Designed to stay consistent in Verified P90 latency of 280ms.