Meta Llama 4 Scout vs Anthropic: Claude Opus 4.8 (batch): Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Meta Llama 4 Scout (llama-4-scout) vs Anthropic: Claude Opus 4.8 (batch) (anthropic/claude-opus-4.8:batch). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
Meta Llama 4 Scout (llama-4-scout) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Meta Llama 4 Scout: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.225/1M) or route via asynchronous Batch API for 50% off standard token rates.
Anthropic: Claude Opus 4.8 (batch) (anthropic/claude-opus-4.8:batch) — $25,000 Startup Credits & 50% Cache Promo
Anthropic's Q4 2026 developer promotion combines $25,000 in Claude API credits for early-stage builders with a permanent 20% base price reduction on Opus 5.5 ($4/$20), 0.05x ($0.20/1M) prompt cache reads, and 50% off Batch API processing ($2/$10 with 300K max output).
In Etuki October 2026 FinOps telemetry comparing Meta Llama 4 Scout (API ID: llama-4-scout) vs Anthropic: Claude Opus 4.8 (batch) (API ID: anthropic/claude-opus-4.8:batch), Meta Llama 4 Scout offers lower standard input pricing at $0.45/1M tokens ($0.65/1M output), while Meta Llama 4 Scout leads in cached prefix economics at $0.225/1M tokens (50% discount). Meta Llama 4 Scout achieves a 140ms faster P90 time-to-first-token latency (140ms vs 280ms).
Enable Prompt Context Caching & Batch API to reduce repeated system prompt input token burn by 50%-97.5%.
Auto-discovered via live global telemetry registry.
| Specification / FinOps Dimension | Meta Llama 4 Scout | Anthropic: Claude Opus 4.8 (batch) | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | llama-4-scout | anthropic/claude-opus-4.8:batch | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.45 / $0.65 | $2.5 / $12.5 | Meta Llama 4 Scout |
| Cache Read Price (per 1M) | $0.225/1M (50% Off) | $1.25/1M (50% Off) | Meta Llama 4 Scout |
| Context Window / Max Output | 400K In / 128K Out | 977K In / 125K Out | Meta Llama 4 Scout |
| P90 First-Token / Edge Latency | 140ms | 280ms | Meta Llama 4 Scout (-140ms) |
Meta open-weight multimodal MoE model supporting 10M+ extended context on dedicated clusters.
Claude Opus 4.8 is Anthropic's most capable generally available model in the Opus family. It supports text, image, and file inputs with text output, with reasoning support and a 1M
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 4 Scout to Anthropic: Claude Opus 4.8 (batch)
Claude Opus 4.8 is Anthropic's most capable generally available model in the Opus family. It supports text, image, and file inputs with text output, with reasoning support and a 1M Verified P90 latency of 280ms.