OpenAI: GPT-5.5 (batch) vs Sao10K: Llama 3.1 Euryale 70B v2.2: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing OpenAI: GPT-5.5 (batch) (openai/gpt-5.5:batch) vs Sao10K: Llama 3.1 Euryale 70B v2.2 (sao10k/l3.1-euryale-70b). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
OpenAI: GPT-5.5 (batch) (openai/gpt-5.5:batch) 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).
Sao10K: Llama 3.1 Euryale 70B v2.2 (sao10k/l3.1-euryale-70b) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Sao10K: Llama 3.1 Euryale 70B v2.2: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.425/1M) or route via asynchronous Batch API for 50% off standard token rates.
In Etuki October 2026 FinOps telemetry comparing OpenAI: GPT-5.5 (batch) (API ID: openai/gpt-5.5:batch) vs Sao10K: Llama 3.1 Euryale 70B v2.2 (API ID: sao10k/l3.1-euryale-70b), Sao10K: Llama 3.1 Euryale 70B v2.2 offers lower standard input pricing at $0.85/1M tokens ($0.85/1M output), while Sao10K: Llama 3.1 Euryale 70B v2.2 leads in cached prefix economics at $0.425/1M tokens (50% discount). OpenAI: GPT-5.5 (batch) 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: GPT-5.5 (batch) | Sao10K: Llama 3.1 Euryale 70B v2.2 | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | openai/gpt-5.5:batch | sao10k/l3.1-euryale-70b | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $2.5 / $15 | $0.85 / $0.85 | Sao10K: Llama 3.1 Euryale 70B v2.2 |
| Cache Read Price (per 1M) | $1.25/1M (50% Off) | $0.425/1M (50% Off) | Sao10K: Llama 3.1 Euryale 70B v2.2 |
| Context Window / Max Output | 1025K In / 125K Out | 128K In / 16K Out | OpenAI: GPT-5.5 (batch) |
| P90 First-Token / Edge Latency | 280ms | 280ms | OpenAI: GPT-5.5 (batch) (-0ms) |
GPT-5.5 is OpenAI’s frontier model designed for complex professional workloads, building on GPT-5.4 with stronger reasoning, higher reliability, and improved token efficiency on ha
Euryale L3.1 70B v2.2 is a model focused on creative roleplay from [Sao10k](https://ko-fi.com/sao10k). It is the successor of [Euryale L3 70B v2.1](/models/sao10k/l3-euryale-70b).
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: GPT-5.5 (batch) to Sao10K: Llama 3.1 Euryale 70B v2.2
Euryale L3.1 70B v2.2 is a model focused on creative roleplay from [Sao10k](https://ko-fi.com/sao10k). It is the successor of [Euryale L3 70B v2.1](/models/sao10k/l3-euryale-70b). Verified P90 latency of 280ms.