Qwen: Qwen3.5 397B A17B vs AionLabs: Aion-RP 1.0 (8B): Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Qwen: Qwen3.5 397B A17B (qwen/qwen3.5-397b-a17b) vs AionLabs: Aion-RP 1.0 (8B) (aion-labs/aion-rp-llama-3.1-8b). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
Qwen: Qwen3.5 397B A17B (qwen/qwen3.5-397b-a17b) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Qwen: Qwen3.5 397B A17B: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.25/1M) or route via asynchronous Batch API for 50% off standard token rates.
AionLabs: Aion-RP 1.0 (8B) (aion-labs/aion-rp-llama-3.1-8b) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for AionLabs: Aion-RP 1.0 (8B): Activate ephemeral prefix caching to slash input costs by 50% (down to $0.4/1M) or route via asynchronous Batch API for 50% off standard token rates.
In Etuki October 2026 FinOps telemetry comparing Qwen: Qwen3.5 397B A17B (API ID: qwen/qwen3.5-397b-a17b) vs AionLabs: Aion-RP 1.0 (8B) (API ID: aion-labs/aion-rp-llama-3.1-8b), Qwen: Qwen3.5 397B A17B offers lower standard input pricing at $0.5/1M tokens ($3.6/1M output), while Qwen: Qwen3.5 397B A17B leads in cached prefix economics at $0.25/1M tokens (50% discount). Qwen: Qwen3.5 397B A17B 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 | Qwen: Qwen3.5 397B A17B | AionLabs: Aion-RP 1.0 (8B) | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | qwen/qwen3.5-397b-a17b | aion-labs/aion-rp-llama-3.1-8b | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.5 / $3.6 | $0.8 / $1.6 | Qwen: Qwen3.5 397B A17B |
| Cache Read Price (per 1M) | $0.25/1M (50% Off) | $0.4/1M (50% Off) | Qwen: Qwen3.5 397B A17B |
| Context Window / Max Output | 256K In / 230K Out | 32K In / 29K Out | Qwen: Qwen3.5 397B A17B |
| P90 First-Token / Edge Latency | 280ms | 280ms | Qwen: Qwen3.5 397B A17B (-0ms) |
The Qwen3.5 series 397B-A17B native vision-language model is built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, ach
Aion-RP-Llama-3.1-8B ranks the highest in the character evaluation portion of the RPBench-Auto benchmark, a roleplaying-specific variant of Arena-Hard-Auto, where LLMs evaluate eac
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 Qwen: Qwen3.5 397B A17B to AionLabs: Aion-RP 1.0 (8B)
Aion-RP-Llama-3.1-8B ranks the highest in the character evaluation portion of the RPBench-Auto benchmark, a roleplaying-specific variant of Arena-Hard-Auto, where LLMs evaluate eac Verified P90 latency of 280ms.