OpenAI: o3 Pro vs Tencent: Hy4 preview: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing OpenAI: o3 Pro (openai/o3-pro) vs Tencent: Hy4 preview (tencent/hy4-preview). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
OpenAI: o3 Pro (openai/o3-pro) Startup Credits & Batch API 50% Off Promo
OpenAI GPT-6.1 Sol ($2/$10 base rate) qualifies for immediate 75% automatic prefix caching ($0.50/1M), 50% off 24-hour Batch API completions ($1/$5), and up to $150,000 in OpenAI/Azure Foundry credits via Microsoft for Startups Founders Hub (no VC funding required for initial tiers).
Tencent: Hy4 preview (tencent/hy4-preview) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Tencent: Hy4 preview: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.417/1M) or route via asynchronous Batch API for 50% off standard token rates.
In Etuki October 2026 FinOps telemetry comparing OpenAI: o3 Pro (API ID: openai/o3-pro) vs Tencent: Hy4 preview (API ID: tencent/hy4-preview), Tencent: Hy4 preview offers lower standard input pricing at $0.834/1M tokens ($2.501/1M output), while Tencent: Hy4 preview leads in cached prefix economics at $0.417/1M tokens (50% discount). OpenAI: o3 Pro 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 | OpenAI: o3 Pro | Tencent: Hy4 preview | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | openai/o3-pro | tencent/hy4-preview | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $20 / $80 | $0.834 / $2.501 | Tencent: Hy4 preview |
| Cache Read Price (per 1M) | $10/1M (50% Off) | $0.417/1M (50% Off) | Tencent: Hy4 preview |
| Context Window / Max Output | 195K In / 98K Out | 1024K In / 63K Out | OpenAI: o3 Pro |
| P90 First-Token / Edge Latency | 280ms | 280ms | OpenAI: o3 Pro (-0ms) |
The o-series of models are trained with reinforcement learning to think before they answer and perform complex reasoning. The o3-pro model uses more compute to think harder and pro
Tencent: Hy4 preview is a mixture-of-experts model from Tencent, with 49B active parameters out of 770B total. It is designed for coding agents, complex tool-use workflows, and pro
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 OpenAI: o3 Pro to Tencent: Hy4 preview
Tencent: Hy4 preview is a mixture-of-experts model from Tencent, with 49B active parameters out of 770B total. It is designed for coding agents, complex tool-use workflows, and pro Verified P90 latency of 280ms.