Google: Gemini 3.8 Flash vs Tencent: Hunyuan A13B Instruct: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Google: Gemini 3.8 Flash (google/gemini-3.8-flash) vs Tencent: Hunyuan A13B Instruct (tencent/hunyuan-a13b-instruct). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
Google: Gemini 3.8 Flash (google/gemini-3.8-flash) — Google AI Startup Credits ($350K) & 50% Cache Promo
Google DeepMind is currently subsidizing Gemini 4 Argon at 50% off standard rates ($2.00/1M input & $10.00/1M output instead of $4/$20) until November 30, 2026, alongside 95% off Context Caching ($0.10/1M) and up to $350,000 in Google for Startups Cloud/Vertex AI credits.
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 Google: Gemini 3.8 Flash (API ID: google/gemini-3.8-flash) vs Tencent: Hunyuan A13B Instruct (API ID: tencent/hunyuan-a13b-instruct), Tencent: Hunyuan A13B Instruct offers lower standard input pricing at $0.14/1M tokens ($0.57/1M output), while Tencent: Hunyuan A13B Instruct leads in cached prefix economics at $0.07/1M tokens (50% discount). Google: Gemini 3.8 Flash 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 | Google: Gemini 3.8 Flash | Tencent: Hunyuan A13B Instruct | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | google/gemini-3.8-flash | tencent/hunyuan-a13b-instruct | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.75 / $3.75 | $0.14 / $0.57 | Tencent: Hunyuan A13B Instruct |
| Cache Read Price (per 1M) | $0.375/1M (50% Off) | $0.07/1M (50% Off) | Tencent: Hunyuan A13B Instruct |
| Context Window / Max Output | 1024K In / 64K Out | 128K In / 115K Out | Tencent: Hunyuan A13B Instruct |
| P90 First-Token / Edge Latency | 280ms | 280ms | Google: Gemini 3.8 Flash (-0ms) |
Gemini 3.8 Flash is Google's most intelligent Flash model with significant gains from 3.7 Flash across software engineering, agentic tasks, and multi-step reasoning.
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 Google: Gemini 3.8 Flash 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.