DeepSeek: DeepSeek V4 Flash 0731 vs Moondream: Moondream 3.1: Live Promos, Pricing, Hidden Fees & Latency
DeepSeek: DeepSeek V4 Flash 0731 (deepseek/deepseek-v4-flash-0731) — Automatic Disk KV Cache (0.22/1M) & 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.
Moondream: Moondream 3.1 (moondream/moondream3.1-9b-a2b) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Moondream: Moondream 3.1: Activate ephemeral prefix caching to slash input costs by 50% (down to 0.15/1M) or route via asynchronous Batch API for 50% off standard token rates.
In Etuki October 2026 FinOps telemetry comparing DeepSeek: DeepSeek V4 Flash 0731 (API ID: deepseek/deepseek-v4-flash-0731) vs Moondream: Moondream 3.1 (API ID: moondream/moondream3.1-9b-a2b), Moondream: Moondream 3.1 offers lower standard input pricing at $0.3/1M tokens ($2.5/1M output), while Moondream: Moondream 3.1 leads in cached prefix economics at $0.15/1M tokens (50% discount). DeepSeek: DeepSeek V4 Flash 0731 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 | DeepSeek: DeepSeek V4 Flash 0731 | Moondream: Moondream 3.1 | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | deepseek/deepseek-v4-flash-0731 | moondream/moondream3.1-9b-a2b | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.44 / $1.32 | $0.3 / $2.5 | Moondream: Moondream 3.1 |
| Cache Read Price (per 1M) | $0.22/1M (50% Off) | $0.15/1M (50% Off) | Moondream: Moondream 3.1 |
| Context Window / Max Output | 1024K In / 128K Out | 31K In / 4K Out | DeepSeek: DeepSeek V4 Flash 0731 |
| P90 First-Token / Edge Latency | 280ms | 280ms | DeepSeek: DeepSeek V4 Flash 0731 (-0ms) |
DeepSeek V4 Flash 0731 is a sparse mixture-of-experts model from DeepSeek, with 13B active parameters out of 284B total. This re-post-trained revision is suited for coding, reasoni
Moondream 3.1 is a vision-language model from Moondream, the successor to Moondream 3 Preview, with 9B total parameters and 2B active (mixture-of-experts). It handles visual questi
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 DeepSeek: DeepSeek V4 Flash 0731 to Moondream: Moondream 3.1
Moondream 3.1 is a vision-language model from Moondream, the successor to Moondream 3 Preview, with 9B total parameters and 2B active (mixture-of-experts). It handles visual questi Verified P90 latency of 280ms.