OpenAI: GPT-6 Sol Pro (batch) vs Sao10K: Llama 3.3 Euryale 70B: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing OpenAI: GPT-6 Sol Pro (batch) (openai/gpt-6-sol-pro:batch) vs Sao10K: Llama 3.3 Euryale 70B (sao10k/l3.3-euryale-70b). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
OpenAI: GPT-6 Sol Pro (batch) (openai/gpt-6-sol-pro: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 3.3 Euryale 70B (sao10k/l3.3-euryale-70b) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Sao10K: Llama 3.3 Euryale 70B: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.325/1M) or route via asynchronous Batch API for 50% off standard token rates.
In Etuki October 2026 FinOps telemetry comparing OpenAI: GPT-6 Sol Pro (batch) (API ID: openai/gpt-6-sol-pro:batch) vs Sao10K: Llama 3.3 Euryale 70B (API ID: sao10k/l3.3-euryale-70b), Sao10K: Llama 3.3 Euryale 70B offers lower standard input pricing at $0.65/1M tokens ($0.75/1M output), while Sao10K: Llama 3.3 Euryale 70B leads in cached prefix economics at $0.325/1M tokens (50% discount). OpenAI: GPT-6 Sol Pro (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-6 Sol Pro (batch) | Sao10K: Llama 3.3 Euryale 70B | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | openai/gpt-6-sol-pro:batch | sao10k/l3.3-euryale-70b | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $1 / $5 | $0.65 / $0.75 | Sao10K: Llama 3.3 Euryale 70B |
| Cache Read Price (per 1M) | $0.5/1M (50% Off) | $0.325/1M (50% Off) | Sao10K: Llama 3.3 Euryale 70B |
| Context Window / Max Output | 1025K In / 125K Out | 128K In / 16K Out | OpenAI: GPT-6 Sol Pro (batch) |
| P90 First-Token / Edge Latency | 280ms | 280ms | OpenAI: GPT-6 Sol Pro (batch) (-0ms) |
GPT-6 Sol Pro is the same underlying model as [GPT-6 Sol](https://openrouter.ai/openai/gpt-6-sol), served with `reasoning.mode` set to `pro` for higher-quality responses on complex
Euryale L3.3 70B is a model focused on creative roleplay from [Sao10k](https://ko-fi.com/sao10k). It is the successor of [Euryale L3 70B v2.2](/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-6 Sol Pro (batch) to Sao10K: Llama 3.3 Euryale 70B
Euryale L3.3 70B is a model focused on creative roleplay from [Sao10k](https://ko-fi.com/sao10k). It is the successor of [Euryale L3 70B v2.2](/models/sao10k/l3-euryale-70b). Verified P90 latency of 280ms.