Meta · Open weights

Sao10K Stheno 8b

Added Jan 1, 2024Open weights

Use in the app

Sao10K's latest Stheno fine-tune optimized for instruction following.

Input: Text
Output: Text
Discovery tier: Open weights

Pricing

USD per 1M tokens

Input: $0.20
Output: $0.20

Reference prices as published by the model provider. API example

Specifications

Context window: 16.4K
Max output: 8.2K
Average output (7 days): 177 tokens; Longer than 18% of 468 models

Side by side

Sao10K Stheno 8b compared

Specifications, prices, speed and benchmark scores next to each other. Benchmarks below show every compared model too.

Limits
	Sao10K Stheno 8bMetaThis model	The Drummer Cydonia 24B v4MistralRemove
Provider	Meta	Mistral
Discovery tier	Open weights	Open weights
Added	Jan 1, 2024	Jul 22, 2025
Context window	16.38K	32.77KBest
Max output	8.19K	—
Average output	177 tokens	535 tokens
Pricing, USD per 1M tokens
Input	$0.20	$0.20
Output	$0.20Best	$0.24
Performance
Throughput	30.4 tok/s	—
Time to first token	2.1 s	—
Request success (24h)	67.2%	—
Capabilities
Reasoning effort	—	—

Public evaluations

Benchmarks

There are no public benchmark results for these models yet.

Live routing data

Performance and reliability

Recent averages across requests routed for this model. Your own speed depends on prompt length, reasoning effort and load.

Throughput: 30.4 tok/s; Faster than 21% of 254 models
Time to first token: 2.1 s; Quicker than 74% of 254 models
Prompt cache hits: 0.0%
Request success (24h): 67.2%

Cache hits are the share of input tokens recently served from a prompt cache across all requests. They are not a forecast of your own hit rate.

Developers

Use it through the API

Noumen’s API is OpenAI-compatible: any Chat Completions client works with a base URL and a key.

Read the quickstart

curl https://www.noumen.xyz/api/v1/chat/completions \
  -H "Authorization: Bearer $NOUMEN_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "Sao10K/L3-8B-Stheno-v3.2",
    "messages": [{ "role": "user", "content": "Explain this stack trace." }]
  }'

import os
from openai import OpenAI

client = OpenAI(base_url="https://www.noumen.xyz/api/v1", api_key=os.environ["NOUMEN_API_KEY"])
reply = client.chat.completions.create(
    model="Sao10K/L3-8B-Stheno-v3.2",
    messages=[{"role": "user", "content": "Explain this stack trace."}],
)
print(reply.choices[0].message.content)