OpenAI: o1 vs Meta: Llama Guard 4 12B: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing OpenAI: o1 (openai/o1) vs Meta: Llama Guard 4 12B (meta-llama/llama-guard-4-12b). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
OpenAI: o1 (openai/o1) 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).
Meta: Llama Guard 4 12B (meta-llama/llama-guard-4-12b) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Meta: Llama Guard 4 12B: 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.
In Etuki October 2026 FinOps telemetry comparing OpenAI: o1 (API ID: openai/o1) vs Meta: Llama Guard 4 12B (API ID: meta-llama/llama-guard-4-12b), Meta: Llama Guard 4 12B offers lower standard input pricing at $0.18/1M tokens ($0.18/1M output), while Meta: Llama Guard 4 12B leads in cached prefix economics at $0.09/1M tokens (50% discount). OpenAI: o1 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 | OpenAI: o1 | Meta: Llama Guard 4 12B | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | openai/o1 | meta-llama/llama-guard-4-12b | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $15 / $60 | $0.18 / $0.18 | Meta: Llama Guard 4 12B |
| Cache Read Price (per 1M) | $7.5/1M (50% Off) | $0.09/1M (50% Off) | Meta: Llama Guard 4 12B |
| Context Window / Max Output | 195K In / 98K Out | 160K In / 16K Out | OpenAI: o1 |
| P90 First-Token / Edge Latency | 280ms | 280ms | OpenAI: o1 (-0ms) |
The latest and strongest model family from OpenAI, o1 is designed to spend more time thinking before responding. The o1 model series is trained with large-scale reinforcement learn
Llama Guard 4 is a Llama 4 Scout-derived multimodal pretrained model, fine-tuned for content safety classification. Similar to previous versions, it can be used to classify content
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 OpenAI: o1 to Meta: Llama Guard 4 12B
Llama Guard 4 is a Llama 4 Scout-derived multimodal pretrained model, fine-tuned for content safety classification. Similar to previous versions, it can be used to classify content Verified P90 latency of 280ms.