Meta: Llama 4 Scout vs Anthropic Claude Opus 5.5: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Meta: Llama 4 Scout (meta-llama/llama-4-scout) vs Anthropic Claude Opus 5.5 (claude-opus-5-5). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
Meta: Llama 4 Scout (meta-llama/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 $0.09/1M) or route via asynchronous Batch API for 50% off standard token rates.
Claude for Startups Program ($25,000 API Credits) & 95% Off Ephemeral Cache Reads
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: meta-llama/llama-4-scout) vs Anthropic Claude Opus 5.5 (API ID: claude-opus-5-5), Meta: Llama 4 Scout offers lower standard input pricing at $0.18/1M tokens ($0.59/1M output), while Meta: Llama 4 Scout leads in cached prefix economics at $0.09/1M tokens (50% discount). Meta: Llama 4 Scout achieves a 70ms faster P90 time-to-first-token latency (280ms vs 350ms).
Auto-discovered via live global telemetry registry.
Adaptive thinking is always on; high effort generates ~119K thinking tokens/task. Fast mode costs $8/$40; inference_geo:"us" adds +10%.
| Specification / FinOps Dimension | Meta: Llama 4 Scout | Anthropic Claude Opus 5.5 | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | meta-llama/llama-4-scout | claude-opus-5-5 | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.18 / $0.59 | $4 / $20 | Meta: Llama 4 Scout |
| Cache Read Price (per 1M) | $0.09/1M (50% Off) | $0.2/1M (95% Off) | Meta: Llama 4 Scout |
| Context Window / Max Output | 1280K In / 115K Out | 1000K In / 128K Out | Anthropic Claude Opus 5.5 |
| P90 First-Token / Edge Latency | 280ms | 350ms | Meta: Llama 4 Scout (-70ms) |
Llama 4 Scout 17B Instruct (16E) is a mixture-of-experts (MoE) language model developed by Meta, activating 17 billion parameters out of a total of 109B. It supports native multimo
Ranked #1 on Artificial Analysis Intelligence Index (Score 58). Cuts Opus 5 pricing by 20% and features 0.05x ($0.20/1M) cache reads.
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 5.5
Ranked #1 on Artificial Analysis Intelligence Index (Score 58). Cuts Opus 5 pricing by 20% and features 0.05x ($0.20/1M) cache reads. Verified P90 latency of 350ms.