AionLabs: Aion 3.5 vs Qwen: Qwen3.8 Omni Flash: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing AionLabs: Aion 3.5 (aion-labs/aion-3.5) vs Qwen: Qwen3.8 Omni Flash (qwen/qwen3.8-omni-flash). 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.
Qwen: Qwen3.8 Omni Flash (qwen/qwen3.8-omni-flash) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Qwen: Qwen3.8 Omni Flash: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.075/1M) 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 Qwen: Qwen3.8 Omni Flash (API ID: qwen/qwen3.8-omni-flash), Qwen: Qwen3.8 Omni Flash offers lower standard input pricing at $0.15/1M tokens ($0.47/1M output), while Qwen: Qwen3.8 Omni Flash leads in cached prefix economics at $0.075/1M 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 | Qwen: Qwen3.8 Omni Flash | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | aion-labs/aion-3.5 | qwen/qwen3.8-omni-flash | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $3 / $6 | $0.15 / $0.47 | Qwen: Qwen3.8 Omni Flash |
| Cache Read Price (per 1M) | $1.5/1M (50% Off) | $0.075/1M (50% Off) | Qwen: Qwen3.8 Omni Flash |
| Context Window / Max Output | 256K In / 32K Out | 977K In / 128K Out | Qwen: Qwen3.8 Omni Flash |
| 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
Qwen3.8 Omni Flash is an omni-modal reasoning model from Alibaba, the first Qwen model built around agentic capabilities with native audio-video understanding. It is suited for aud
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 Qwen: Qwen3.8 Omni Flash
Qwen3.8 Omni Flash is an omni-modal reasoning model from Alibaba, the first Qwen model built around agentic capabilities with native audio-video understanding. It is suited for aud Verified P90 latency of 280ms.