Tencent: Hy-MT2-7B vs DeepSeek: DeepSeek V3 0324: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Tencent: Hy-MT2-7B (tencent/hy-mt2-7b) vs DeepSeek: DeepSeek V3 0324 (deepseek/deepseek-chat-v3-0324). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
Tencent: Hy-MT2-7B (tencent/hy-mt2-7b) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Tencent: Hy-MT2-7B: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.037/1M) or route via asynchronous Batch API for 50% off standard token rates.
DeepSeek: DeepSeek V3 0324 (deepseek/deepseek-chat-v3-0324) — Automatic Disk KV Cache ($0.145/1M) & Off-Peak Promo
DeepSeek-V4 Pro (1.6T MoE) automatically caches repeated 64-token prompt prefixes on NVMe storage at $0.07/1M input tokens (50% off $0.14 base) with zero code changes required, plus off-peak UTC scheduling discounts.
In Etuki October 2026 FinOps telemetry comparing Tencent: Hy-MT2-7B (API ID: tencent/hy-mt2-7b) vs DeepSeek: DeepSeek V3 0324 (API ID: deepseek/deepseek-chat-v3-0324), Tencent: Hy-MT2-7B offers lower standard input pricing at $0.074/1M tokens ($0.295/1M output), while Tencent: Hy-MT2-7B leads in cached prefix economics at $0.037/1M tokens (50% discount). Tencent: Hy-MT2-7B 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 | Tencent: Hy-MT2-7B | DeepSeek: DeepSeek V3 0324 | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | tencent/hy-mt2-7b | deepseek/deepseek-chat-v3-0324 | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.074 / $0.295 | $0.29 / $1.14 | Tencent: Hy-MT2-7B |
| Cache Read Price (per 1M) | $0.037/1M (50% Off) | $0.145/1M (50% Off) | Tencent: Hy-MT2-7B |
| Context Window / Max Output | 8K In / 4K Out | 160K In / 113K Out | DeepSeek: DeepSeek V3 0324 |
| P90 First-Token / Edge Latency | 280ms | 280ms | Tencent: Hy-MT2-7B (-0ms) |
Hy-MT2-7B is a 7B-parameter translation model from Tencent. It supports 33 language pairs and five Chinese dialect and minority-language pairs, with workflows for structured, delim
DeepSeek V3, a 685B-parameter, mixture-of-experts model, is the latest iteration of the flagship chat model family from the DeepSeek team. It succeeds the [DeepSeek V3](/deepseek/d
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 Tencent: Hy-MT2-7B to DeepSeek: DeepSeek V3 0324
DeepSeek V3, a 685B-parameter, mixture-of-experts model, is the latest iteration of the flagship chat model family from the DeepSeek team. It succeeds the [DeepSeek V3](/deepseek/d Verified P90 latency of 280ms.