Llama 3.1 Euryale 70B v2.2 pricing and routing profile
Llama 3.1 Euryale 70B v2.2 from Sao10k lists at $0.85 per million input tokens and $0.85 per million output tokens, with a 131,072-token context window. Prices from OpenRouter's catalogue on 2026-09-28.
Tool callingStructured output
Cost per 1,000 requests
| Request shape | List cost |
|---|---|
| Classification or routing (600 tokens in, 10 out) | $0.518 |
| Chat reply (2,000 in, 400 out) | $2.04 |
| Retrieval-augmented answer (8,000 in, 500 out) | $7.22 |
Before prompt caching. Try your own shape in the cost calculator.
Can Gimbix route to it first?
Not as a first-answer model through OpenRouter: no host returns token log probabilities for Llama 3.1 Euryale 70B v2.2. It can still be the model Gimbix falls back to when a cheaper model is unsure.
Cheaper models that can answer first
Models priced below Llama 3.1 Euryale 70B v2.2 that expose a confidence signal. Whether they answer your traffic as well is what a Gimbix pilot measures.
| Model | Input / output per 1M | Cheaper on a chat reply |
|---|---|---|
| Llama 3.3 Euryale 70B | $0.65 / $0.75 | 22% |
| UnslopNemo 12B | $0.40 / $0.40 | 53% |
| Mistral Small 3.1 24B | $0.351 / $0.555 | 55% |
| Qwen Plus 0728 | $0.26 / $0.78 | 59% |
| Qwen-Plus | $0.26 / $0.78 | 59% |
| Cydonia 24B V4.1 | $0.30 / $0.50 | 61% |
Questions
How much does Llama 3.1 Euryale 70B v2.2 cost?
Llama 3.1 Euryale 70B v2.2 lists at $0.85 per million input tokens and $0.85 per million output tokens on OpenRouter as of 2026-09-28. A typical chat reply of 2,000 input and 400 output tokens costs about $2.04 per 1,000 requests.
What is the context window of Llama 3.1 Euryale 70B v2.2?
131,072 tokens.
Can a cheaper model replace Llama 3.1 Euryale 70B v2.2?
Sometimes. Gimbix proves it on your own traffic before routing: the cheaper model must match Llama 3.1 Euryale 70B v2.2 on one half of your requests and make at most three answers worse on the other.