inclusionAI: Ling 3.1 Flash vs DeepSeek: DeepSeek Pro Latest: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing inclusionAI: Ling 3.1 Flash (inclusionai/ling-3.1-flash) vs DeepSeek: DeepSeek Pro Latest (~deepseek/deepseek-pro-latest). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
inclusionAI: Ling 3.1 Flash (inclusionai/ling-3.1-flash) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for inclusionAI: Ling 3.1 Flash: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.0375/1M) or route via asynchronous Batch API for 50% off standard token rates.
DeepSeek: DeepSeek Pro Latest (~deepseek/deepseek-pro-latest) — Automatic Disk KV Cache ($0.1125/1M) & 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 inclusionAI: Ling 3.1 Flash (API ID: inclusionai/ling-3.1-flash) vs DeepSeek: DeepSeek Pro Latest (API ID: ~deepseek/deepseek-pro-latest), inclusionAI: Ling 3.1 Flash offers lower standard input pricing at $0.075/1M tokens ($0.225/1M output), while inclusionAI: Ling 3.1 Flash leads in cached prefix economics at $0.0375/1M tokens (50% discount). inclusionAI: Ling 3.1 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 | inclusionAI: Ling 3.1 Flash | DeepSeek: DeepSeek Pro Latest | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | inclusionai/ling-3.1-flash | ~deepseek/deepseek-pro-latest | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.075 / $0.225 | $0.225 / $8 | inclusionAI: Ling 3.1 Flash |
| Cache Read Price (per 1M) | $0.0375/1M (50% Off) | $0.1125/1M (50% Off) | inclusionAI: Ling 3.1 Flash |
| Context Window / Max Output | 256K In / 230K Out | 1024K In / 384K Out | DeepSeek: DeepSeek Pro Latest |
| P90 First-Token / Edge Latency | 280ms | 280ms | inclusionAI: Ling 3.1 Flash (-0ms) |
Ling 3.1 Flash is a hybrid reasoning mixture-of-experts model from inclusionAI, with 25B active parameters out of 560B total.
This model always redirects to the latest model in the DeepSeek Pro family.
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 inclusionAI: Ling 3.1 Flash to DeepSeek: DeepSeek Pro Latest
This model always redirects to the latest model in the DeepSeek Pro family. Verified P90 latency of 280ms.