Qwen: Qwen3 VL 8B Instruct vs Tencent: Hy-MT2-1.8B: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Qwen: Qwen3 VL 8B Instruct (qwen/qwen3-vl-8b-instruct) vs Tencent: Hy-MT2-1.8B (tencent/hy-mt2-1.8b). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
Qwen: Qwen3 VL 8B Instruct (qwen/qwen3-vl-8b-instruct) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Qwen: Qwen3 VL 8B Instruct: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.125/1M) or route via asynchronous Batch API for 50% off standard token rates.
Tencent: Hy-MT2-1.8B (tencent/hy-mt2-1.8b) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Tencent: Hy-MT2-1.8B: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.022/1M) or route via asynchronous Batch API for 50% off standard token rates.
In Etuki October 2026 FinOps telemetry comparing Qwen: Qwen3 VL 8B Instruct (API ID: qwen/qwen3-vl-8b-instruct) vs Tencent: Hy-MT2-1.8B (API ID: tencent/hy-mt2-1.8b), Tencent: Hy-MT2-1.8B offers lower standard input pricing at $0.044/1M tokens ($0.177/1M output), while Tencent: Hy-MT2-1.8B leads in cached prefix economics at $0.022/1M tokens (50% discount). Qwen: Qwen3 VL 8B 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 VL 8B Instruct | Tencent: Hy-MT2-1.8B | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | qwen/qwen3-vl-8b-instruct | tencent/hy-mt2-1.8b | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.25 / $0.75 | $0.044 / $0.177 | Tencent: Hy-MT2-1.8B |
| Cache Read Price (per 1M) | $0.125/1M (50% Off) | $0.022/1M (50% Off) | Tencent: Hy-MT2-1.8B |
| Context Window / Max Output | 256K In / 230K Out | 8K In / 4K Out | Qwen: Qwen3 VL 8B Instruct |
| P90 First-Token / Edge Latency | 280ms | 280ms | Qwen: Qwen3 VL 8B Instruct (-0ms) |
Qwen3-VL-8B-Instruct is a multimodal vision-language model from the Qwen3-VL series, built for high-fidelity understanding and reasoning across text, images, and video. It features
Hy-MT2-1.8B is a compact 1.8B-parameter translation model from Tencent. It supports 33 language pairs and five Chinese dialect and minority-language pairs, with workflows for struc
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 VL 8B Instruct to Tencent: Hy-MT2-1.8B
Hy-MT2-1.8B is a compact 1.8B-parameter translation model from Tencent. It supports 33 language pairs and five Chinese dialect and minority-language pairs, with workflows for struc Verified P90 latency of 280ms.