Meta: Llama 3.1 70B Instruct vs Google: Gemini 3.8 Flash: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Meta: Llama 3.1 70B Instruct (meta-llama/llama-3.1-70b-instruct) vs Google: Gemini 3.8 Flash (google/gemini-3.8-flash). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
Meta: Llama 3.1 70B Instruct (meta-llama/llama-3.1-70b-instruct) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Meta: Llama 3.1 70B Instruct: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.2/1M) or route via asynchronous Batch API for 50% off standard token rates.
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.
In Etuki October 2026 FinOps telemetry comparing Meta: Llama 3.1 70B Instruct (API ID: meta-llama/llama-3.1-70b-instruct) vs Google: Gemini 3.8 Flash (API ID: google/gemini-3.8-flash), Meta: Llama 3.1 70B Instruct offers lower standard input pricing at $0.4/1M tokens ($0.4/1M output), while Meta: Llama 3.1 70B Instruct leads in cached prefix economics at $0.2/1M tokens (50% discount). Meta: Llama 3.1 70B 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 70B Instruct | Google: Gemini 3.8 Flash | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | meta-llama/llama-3.1-70b-instruct | google/gemini-3.8-flash | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.4 / $0.4 | $0.75 / $3.75 | Meta: Llama 3.1 70B Instruct |
| Cache Read Price (per 1M) | $0.2/1M (50% Off) | $0.375/1M (50% Off) | Meta: Llama 3.1 70B Instruct |
| Context Window / Max Output | 128K In / 16K Out | 1024K In / 64K Out | Google: Gemini 3.8 Flash |
| P90 First-Token / Edge Latency | 280ms | 280ms | Meta: Llama 3.1 70B Instruct (-0ms) |
Meta's latest class of model (Llama 3.1) launched with a variety of sizes & flavors. This 70B instruct-tuned version is optimized for high quality dialogue usecases. It has demonst
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.
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 70B Instruct to Google: Gemini 3.8 Flash
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. Verified P90 latency of 280ms.