Meta: Llama 4 Scout vs OpenAI GPT-5.3-Codex: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Meta: Llama 4 Scout (meta-llama/llama-4-scout) vs OpenAI GPT-5.3-Codex (gpt-5.3-codex). 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.
OpenAI GPT-5.3-Codex (gpt-5.3-codex) Startup Credits & Batch API 50% Off Promo
OpenAI GPT-6.1 Sol ($2/$10 base rate) qualifies for immediate 75% automatic prefix caching ($0.50/1M), 50% off 24-hour Batch API completions ($1/$5), and up to $150,000 in OpenAI/Azure Foundry credits via Microsoft for Startups Founders Hub (no VC funding required for initial tiers).
In Etuki October 2026 FinOps telemetry comparing Meta: Llama 4 Scout (API ID: meta-llama/llama-4-scout) vs OpenAI GPT-5.3-Codex (API ID: gpt-5.3-codex), 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). OpenAI GPT-5.3-Codex achieves a 30ms faster P90 time-to-first-token latency (250ms vs 280ms).
Auto-discovered via live global telemetry registry.
Enable Prompt Context Caching & Batch API to reduce repeated system prompt input token burn by 50%-97.5%.
| Specification / FinOps Dimension | Meta: Llama 4 Scout | OpenAI GPT-5.3-Codex | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | meta-llama/llama-4-scout | gpt-5.3-codex | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.18 / $0.59 | $1.75 / $14 | Meta: Llama 4 Scout |
| Cache Read Price (per 1M) | $0.09/1M (50% Off) | $0.875/1M (50% Off) | Meta: Llama 4 Scout |
| Context Window / Max Output | 1280K In / 115K Out | 1000K In / 128K Out | OpenAI GPT-5.3-Codex |
| P90 First-Token / Edge Latency | 280ms | 250ms | OpenAI GPT-5.3-Codex (-30ms) |
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
Dedicated agentic software engineering model tuned for multi-hour terminal and IDE sessions.
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 OpenAI GPT-5.3-Codex
Dedicated agentic software engineering model tuned for multi-hour terminal and IDE sessions. Verified P90 latency of 250ms.