Meta: Llama 3.1 8B Instruct vs DeepSeek: DeepSeek V4.1 Flash 1017: Live Promos, Pricing, Hidden Fees & Latency
Meta: Llama 3.1 8B Instruct (meta-llama/llama-3.1-8b-instruct) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Meta: Llama 3.1 8B Instruct: Activate ephemeral prefix caching to slash input costs by 50% (down to 0.025/1M) or route via asynchronous Batch API for 50% off standard token rates.
DeepSeek: DeepSeek V4.1 Flash 1017 (deepseek/deepseek-v4.1-flash-1017) — Automatic Disk KV Cache (0.075/1M) & 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 Meta: Llama 3.1 8B Instruct (API ID: meta-llama/llama-3.1-8b-instruct) vs DeepSeek: DeepSeek V4.1 Flash 1017 (API ID: deepseek/deepseek-v4.1-flash-1017), Meta: Llama 3.1 8B Instruct offers lower standard input pricing at $0.05/1M tokens ($0.08/1M output), while Meta: Llama 3.1 8B Instruct leads in cached prefix economics at $0.025/1M tokens (50% discount). Meta: Llama 3.1 8B Instruct 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 | Meta: Llama 3.1 8B Instruct | DeepSeek: DeepSeek V4.1 Flash 1017 | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | meta-llama/llama-3.1-8b-instruct | deepseek/deepseek-v4.1-flash-1017 | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.05 / $0.08 | $0.15 / $0.6 | Meta: Llama 3.1 8B Instruct |
| Cache Read Price (per 1M) | $0.025/1M (50% Off) | $0.075/1M (50% Off) | Meta: Llama 3.1 8B Instruct |
| Context Window / Max Output | 128K In / 115K Out | 1024K In / 384K Out | DeepSeek: DeepSeek V4.1 Flash 1017 |
| P90 First-Token / Edge Latency | 280ms | 280ms | Meta: Llama 3.1 8B Instruct (-0ms) |
Meta's latest class of model (Llama 3.1) launched with a variety of sizes & flavors. This 8B instruct-tuned version is fast and efficient. It has demonstrated strong performance co
DeepSeek V4.1 Flash 1017 is the October 17, 2026 snapshot of DeepSeek V4.1 Flash, served by DeepSeek under the `deepseek-flash` API model name. V4.1 Flash is a sparse mixture-of-ex
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 Meta: Llama 3.1 8B Instruct to DeepSeek: DeepSeek V4.1 Flash 1017
DeepSeek V4.1 Flash 1017 is the October 17, 2026 snapshot of DeepSeek V4.1 Flash, served by DeepSeek under the `deepseek-flash` API model name. V4.1 Flash is a sparse mixture-of-ex Verified P90 latency of 280ms.