sao10k

Sao10K: Llama 3.1 Euryale 70B v2.2

Sao10K: Llama 3.1 Euryale 70B v2.2 is a text-only model from sao10k with a 131,072-token context window and a maximum completion length of 16,384 tokens. It supports tool use, but does not support reasoning modes and has no confirmed structured output capability. Input and output are both priced at $0.85 per million tokens, placing it in the budget-to-mid tier of the market. The model carries no independent benchmark coverage, so buyers cannot yet compare its scored performance against alternatives in a standardized way. That makes it a higher-uncertainty pick for teams that rely on benchmarks to vet a model before deployment. It may appeal to developers willing to run their own evaluations, particularly those drawn to its tool-use support and long context at a relatively low flat rate. Organizations that need verified performance data before committing should wait for broader coverage or plan for internal testing from the start.

Quality Score
85/100
price + capability + benchmarks
Input Price
$0.85
per 1M tokens · checked 2026-09-23
Output Price
$0.85
per 1M tokens · checked 2026-09-23
Context Window
131,072
tokens
Model ID
sao10k/l3.1-euryale-70b
Vendor
sao10k
Released
August 2024
Tokenizer
Llama3
Input Modalities
text
Output Modalities
text
Max Output
16,384 tokens
Tool Calling
✓ supported
Structured Output
✓ supported
Reasoning Mode
not supported
Vision
text only
Audio
no
Moderated
no

What it costs in practice

Computed from the current $0.85/M input and $0.85/M output rates. Run your own numbers →

JobTokensCost
Summarize a 50-page report 30k in / 1.5k out $0.03
Classify 1,000 customer emails 500k in / 50k out $0.47
A month of a busy support chatbot 5M in / 2M out $5.95

Similar models

Quick answers

How much does Sao10K: Llama 3.1 Euryale 70B v2.2 cost?
$0.85 per million input tokens and $0.85 per million output tokens.
What is Sao10K: Llama 3.1 Euryale 70B v2.2's context window?
131,072 tokens, roughly 196 pages of text in a single request.
Does Sao10K: Llama 3.1 Euryale 70B v2.2 support tool calling?
It supports tool calling, structured output.
Can Sao10K: Llama 3.1 Euryale 70B v2.2 process images?
No, it is text-only on the input side.

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