Open-source LLM (via OpenRouter)
Schematron V2 Small
model
schematron-v2-smallBudgetStable★ Low cost in tierStreamingToolsBatchLong contextGlobal
Context
128K
Input / 1M tokens
$0.0500
Output / 1M tokens
$0.2300
Cached input / 1M tokens
$0.0500
Cache write / 1M tokens
— (bills at input price)
About this model
Schematron V2 Small
Schematron V2 Small is available through the Anoman AI OpenAI-compatible API with a 128K-token context window. It costs $0.0500 per 1M input tokens and $0.2300 per 1M output tokens, and is available from the Plus Pass plan.
Key facts
- Context window
- 128K tokens
- Max output
- 4K tokens
- Lane
- Guarded: the provider has confirmed it does not train on your data
- Modality
- Text
- Input price
- $0.0500 per 1M tokens
- Output price
- $0.2300 per 1M tokens
- Processing region(s)
- global
- Route
- Via OpenRouter
- Cheapest plan
- Available from the Plus Pass plan
- Price comparison
- Priced below 9 of 22 plus-band guarded models on Anoman (blended price: 1 part input to 3 parts output).
Code example
Chat completion with Schematron V2 Small
from openai import OpenAI
client = OpenAI(
base_url="https://api.anoman.io/v1",
api_key="anm-sk-..."
)
response = client.chat.completions.create(
model="schematron-v2-small",
messages=[{"role": "user", "content": "Hello!"}]
)
print(response.choices[0].message.content)Alternatives
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