Qwen: Qwen3 Next 80B A3B Instruct vs Tencent: Hunyuan A13B Instruct: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Qwen: Qwen3 Next 80B A3B Instruct (qwen/qwen3-next-80b-a3b-instruct) vs Tencent: Hunyuan A13B Instruct (tencent/hunyuan-a13b-instruct). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
Qwen: Qwen3 Next 80B A3B Instruct (qwen/qwen3-next-80b-a3b-instruct) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Qwen: Qwen3 Next 80B A3B Instruct: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.05/1M) or route via asynchronous Batch API for 50% off standard token rates.
Tencent: Hunyuan A13B Instruct (tencent/hunyuan-a13b-instruct) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Tencent: Hunyuan A13B Instruct: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.07/1M) or route via asynchronous Batch API for 50% off standard token rates.
In Etuki October 2026 FinOps telemetry comparing Qwen: Qwen3 Next 80B A3B Instruct (API ID: qwen/qwen3-next-80b-a3b-instruct) vs Tencent: Hunyuan A13B Instruct (API ID: tencent/hunyuan-a13b-instruct), Qwen: Qwen3 Next 80B A3B Instruct offers lower standard input pricing at $0.1/1M tokens ($1.1/1M output), while Qwen: Qwen3 Next 80B A3B Instruct leads in cached prefix economics at $0.05/1M tokens (50% discount). Qwen: Qwen3 Next 80B A3B Instruct 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 Next 80B A3B Instruct | Tencent: Hunyuan A13B Instruct | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | qwen/qwen3-next-80b-a3b-instruct | tencent/hunyuan-a13b-instruct | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.1 / $1.1 | $0.14 / $0.57 | Qwen: Qwen3 Next 80B A3B Instruct |
| Cache Read Price (per 1M) | $0.05/1M (50% Off) | $0.07/1M (50% Off) | Qwen: Qwen3 Next 80B A3B Instruct |
| Context Window / Max Output | 256K In / 230K Out | 128K In / 115K Out | Qwen: Qwen3 Next 80B A3B Instruct |
| P90 First-Token / Edge Latency | 280ms | 280ms | Qwen: Qwen3 Next 80B A3B Instruct (-0ms) |
Qwen3-Next-80B-A3B-Instruct is an instruction-tuned chat model in the Qwen3-Next series optimized for fast, stable responses without “thinking” traces. It targets complex tasks acr
Hunyuan-A13B is a 13B active parameter Mixture-of-Experts (MoE) language model developed by Tencent, with a total parameter count of 80B and support for reasoning via Chain-of-Thou
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 Next 80B A3B Instruct to Tencent: Hunyuan A13B Instruct
Hunyuan-A13B is a 13B active parameter Mixture-of-Experts (MoE) language model developed by Tencent, with a total parameter count of 80B and support for reasoning via Chain-of-Thou Verified P90 latency of 280ms.