DeepInfra exposes Drex Max through model ID nace-ai/drex-max. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.
Last refreshed 2026-10-22. Next refresh: weekly.
Quick Start
- 1
- 2Use the DeepInfra SDK or REST API to call
nace-ai/drex-max— see the documentation for request format. - 3
Code Examples
Install
pip install openaiAPI key
DEEPINFRA_API_KEYModel ID
nace-ai/drex-maxDeepInfra uses "organization/model-name" format, e.g. "meta-llama/Meta-Llama-3-8B-Instruct" or "mistralai/Mistral-7B-Instruct-v0.3". See the DeepInfra model catalog for exact IDs.
import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ["DEEPINFRA_API_KEY"],
base_url="https://api.deepinfra.com/v1/openai"
)
response = client.chat.completions.create(
model="nace-ai/drex-max",
messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)Pricing on DeepInfra
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.12 |
| Output tokens | Free |
Capabilities
VisionMultimodal
About Drex Max
Drex Max is Nace.AI's flagship multimodal decision model for computer use: from screens, images, charts and video it scores typed questions (yes/no, multiple choice) instead of generating text. API-only; 262K-token context.
Model Specs
Released2026-10-19
Context256K