// sao10k

Llama 3.1 Euryale 70B v2.2

sao10k/l3.1-euryale-70b

tool calling
OpenRouter + LiveBenchAll modelsFull leaderboard

Llama 3.1 Euryale 70B v2.2 costs $0.850 per 1M input tokens and $0.850 per 1M output tokens with a 131K-token context window.

A tool-calling model from sao10k, released Aug 28, 2024. LiveBench hasn't published a run for it, so this page carries measured price and specs only — no benchmark numbers.

Input / 1M
$0.850
Output / 1M
$0.850
Context
131K
LiveBench overall
Not evaluated

Specs and pricing

Input price

USD per 1M prompt tokens

$0.850
Output price

USD per 1M completion tokens, reasoning included

$0.850
Blended price

3:1 input:output — #153 most expensive of 343 listed models

$0.850
Cached input read

Blank means not priced separately — not free

Cache write
Context window131,072 tokens
Max output16,384 tokens
Input modalitiestext
Tool callingYes
Extended reasoningNo
Knowledge cutoff2023-12-31
ListedAug 28, 2024
All Sao10K API pricing

What Llama 3.1 Euryale 70B v2.2 costs to run

Monthly list cost across five workload shapes, using the published cached-input rate where there is one. A floor, not a quote — batch discounts and cache writes aren't included.

WorkloadPer month
Support chatbot

1.2K in / 400 out × 200K requests

$272.00/mo
RAG assistant

8K in / 600 out × 100K requests

$731.00/mo
Coding agent

40K in / 4K out × 20K requests

$748.00/mo
Document extraction

20K in / 1.5K out × 50K requests

$913.75/mo
Bulk classification

500 in / 20 out × 5M requests

$2,210/mo
Price your own workload

Compare Llama 3.1 Euryale 70B v2.2 with

Benchmarked models at a similar price.

Llama 3.1 Euryale 70B v2.2 FAQ

How much does Llama 3.1 Euryale 70B v2.2 cost?

Llama 3.1 Euryale 70B v2.2 lists at $0.850 per 1M input tokens and $0.850 per 1M output tokens. A RAG assistant handling 100K requests a month (8K tokens in, 600 out) comes to about $731.00 at list price.

What is the context window of Llama 3.1 Euryale 70B v2.2?

Llama 3.1 Euryale 70B v2.2 accepts up to 131,072 tokens of context and can return up to 16,384 output tokens per response.

Does Llama 3.1 Euryale 70B v2.2 support tool calling?

Yes — Llama 3.1 Euryale 70B v2.2 supports tool (function) calling. It accepts text input.

How does Llama 3.1 Euryale 70B v2.2 score on benchmarks?

LiveBench has not published a run for Llama 3.1 Euryale 70B v2.2 yet. Until it does, compare it on price and specs, or run your own evaluation on your own tasks.

What is the API model ID for Llama 3.1 Euryale 70B v2.2?

On OpenRouter the model ID is "sao10k/l3.1-euryale-70b". It was listed on Aug 28, 2024.

More from sao10k

How these numbers are produced

  • Price and specs — provider list data from OpenRouter, refreshed every 15 minutes. “Blended” is a 3:1 input:output mix.
  • Scores and ranksLiveBench release 2026-06-25. Ranks count only models that have a published run; a blank means “not evaluated”, never “bad”.
  • Cost per point — the measured dollars LiveBench spent on the run, divided by the score it earned.

Published benchmarks rank models on someone else's tasks. Before committing, see LLM & agent evaluation for building an eval on your own.