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Llama 3.3 Euryale 70B pricing and routing profile

Llama 3.3 Euryale 70B from Sao10k lists at $0.65 per million input tokens and $0.75 per million output tokens, with a 131,072-token context window. Prices from OpenRouter's catalogue on 2026-09-28.

Input, per 1M tokens$0.65
Output, per 1M tokens$0.75
Context window131K
Confidence signalAvailable

Structured outputLog probabilities

Cost per 1,000 requests

Request shapeList cost
Classification or routing (600 tokens in, 10 out)$0.398
Chat reply (2,000 in, 400 out)$1.60
Retrieval-augmented answer (8,000 in, 500 out)$5.58

Before prompt caching. Try your own shape in the cost calculator.

Can Gimbix route to it first?

Yes. At least one host return token log probabilities for Llama 3.3 Euryale 70B, which is the confidence signal Gimbix uses to let a cheaper model answer first.

Cheaper models that can answer first

Models priced below Llama 3.3 Euryale 70B that expose a confidence signal. Whether they answer your traffic as well is what a Gimbix pilot measures.

ModelInput / output per 1MCheaper on a chat reply
UnslopNemo 12B$0.40 / $0.4040%
Mistral Small 3.1 24B$0.351 / $0.55542%
Cydonia 24B V4.1$0.30 / $0.5050%
DeepSeek V3.2$0.28 / $0.4255%
DeepSeek V3.2 Exp$0.27 / $0.4156%
Llama 4 Maverick$0.188 / $0.65260%

Questions

How much does Llama 3.3 Euryale 70B cost?

Llama 3.3 Euryale 70B lists at $0.65 per million input tokens and $0.75 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 $1.60 per 1,000 requests.

What is the context window of Llama 3.3 Euryale 70B?

131,072 tokens.

Can a cheaper model replace Llama 3.3 Euryale 70B?

Sometimes. Gimbix proves it on your own traffic before routing: the cheaper model must match Llama 3.3 Euryale 70B on one half of your requests and make at most three answers worse on the other.