Meta Llama 4 Scout vs OpenAI: gpt-oss-120b: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Meta Llama 4 Scout (llama-4-scout) vs OpenAI: gpt-oss-120b (openai/gpt-oss-120b). 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.
OpenAI: gpt-oss-120b (openai/gpt-oss-120b) 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: llama-4-scout) vs OpenAI: gpt-oss-120b (API ID: openai/gpt-oss-120b), OpenAI: gpt-oss-120b offers lower standard input pricing at $0.15/1M tokens ($0.6/1M output), while OpenAI: gpt-oss-120b leads in cached prefix economics at $0.075/1M 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 | OpenAI: gpt-oss-120b | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | llama-4-scout | openai/gpt-oss-120b | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.45 / $0.65 | $0.15 / $0.6 | OpenAI: gpt-oss-120b |
| Cache Read Price (per 1M) | $0.225/1M (50% Off) | $0.075/1M (50% Off) | OpenAI: gpt-oss-120b |
| Context Window / Max Output | 400K In / 128K Out | 128K In / 64K 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.
gpt-oss-120b is an open-weight, 117B-parameter Mixture-of-Experts (MoE) language model from OpenAI designed for high-reasoning, agentic, and general-purpose production use cases. I
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-oss-120b
gpt-oss-120b is an open-weight, 117B-parameter Mixture-of-Experts (MoE) language model from OpenAI designed for high-reasoning, agentic, and general-purpose production use cases. I Verified P90 latency of 280ms.