Sao10K: Llama 3.3 Euryale 70B vs Qwen2.5 Coder 32B Instruct: Live Promos, Pricing, Hidden Fees & Latency
Verified 2026 FinOps benchmark comparing Sao10K: Llama 3.3 Euryale 70B (sao10k/l3.3-euryale-70b) vs Qwen2.5 Coder 32B Instruct (qwen/qwen-2.5-coder-32b-instruct). Simulate cache read multipliers, context cliffs, MAU bills, and P90 latency.
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.
Qwen2.5 Coder 32B Instruct (qwen/qwen-2.5-coder-32b-instruct) 2026 Q4 Developer Promotion & Volume Credits
Official 2026 Q4 promotion for Qwen2.5 Coder 32B Instruct: Activate ephemeral prefix caching to slash input costs by 50% (down to $0.33/1M) or route via asynchronous Batch API for 50% off standard token rates.
In Etuki October 2026 FinOps telemetry comparing Sao10K: Llama 3.3 Euryale 70B (API ID: sao10k/l3.3-euryale-70b) vs Qwen2.5 Coder 32B Instruct (API ID: qwen/qwen-2.5-coder-32b-instruct), 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). Sao10K: Llama 3.3 Euryale 70B 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 | Sao10K: Llama 3.3 Euryale 70B | Qwen2.5 Coder 32B Instruct | Verified Advantage |
|---|---|---|---|
| Official Vendor API ID | sao10k/l3.3-euryale-70b | qwen/qwen-2.5-coder-32b-instruct | Pinned Snapshot IDs |
| Standard Input / Output (per 1M) | $0.65 / $0.75 | $0.66 / $1 | Sao10K: Llama 3.3 Euryale 70B |
| Cache Read Price (per 1M) | $0.325/1M (50% Off) | $0.33/1M (50% Off) | Sao10K: Llama 3.3 Euryale 70B |
| Context Window / Max Output | 128K In / 16K Out | 32K In / 29K Out | Qwen2.5 Coder 32B Instruct |
| P90 First-Token / Edge Latency | 280ms | 280ms | Sao10K: Llama 3.3 Euryale 70B (-0ms) |
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).
Qwen2.5-Coder is the latest series of Code-Specific Qwen large language models (formerly known as CodeQwen). Qwen2.5-Coder brings the following improvements upon CodeQwen1.5: - Sig
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 Sao10K: Llama 3.3 Euryale 70B to Qwen2.5 Coder 32B Instruct
Qwen2.5-Coder is the latest series of Code-Specific Qwen large language models (formerly known as CodeQwen). Qwen2.5-Coder brings the following improvements upon CodeQwen1.5: - Sig Verified P90 latency of 280ms.