Tencent: Hy3 vs OpenAI: o4 Mini (batch): Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Tencent: Hy3 (tencent/hy3) vs OpenAI: o4 Mini (batch) (openai/o4-mini:batch). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
Tencent: Hy3 (tencent/hy3) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Tencent: Hy3: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.066/1M) or route via asynchronous Batch API for 50% off standard token rates.
OpenAI: o4 Mini (batch) (openai/o4-mini:batch) 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).
In Etuki October 2026 FinOps telemetry comparing Tencent: Hy3 (API ID: tencent/hy3) vs OpenAI: o4 Mini (batch) (API ID: openai/o4-mini:batch), Tencent: Hy3 offers lower standard input pricing at $0.132/1M tokens ($0.528/1M output), while Tencent: Hy3 leads in cached prefix economics at $0.066/1M tokens (50% discount). Tencent: Hy3 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: Hy3 | OpenAI: o4 Mini (batch) | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | tencent/hy3 | openai/o4-mini:batch | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.132 / $0.528 | $0.55 / $2.2 | Tencent: Hy3 |
| Cache Read Price (per 1M) | $0.066/1M (50% Off) | $0.275/1M (50% Off) | Tencent: Hy3 |
| Context Window / Max Output | 256K In / 125K Out | 195K In / 98K Out | Tencent: Hy3 |
| P90 First-Token / Edge Latency | 280ms | 280ms | Tencent: Hy3 (-0ms) |
Hy3 is a 295B-parameter Mixture-of-Experts model from Tencent (21B active, 192 experts with top-8 routing) built for reasoning, agentic workflows, and real-world production use. It
OpenAI o4-mini is a compact reasoning model in the o-series, optimized for fast, cost-efficient performance while retaining strong multimodal and agentic capabilities. It supports
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: Hy3 to OpenAI: o4 Mini (batch)
OpenAI o4-mini is a compact reasoning model in the o-series, optimized for fast, cost-efficient performance while retaining strong multimodal and agentic capabilities. It supports Verified P90 latency of 280ms.