Last refreshed 2026-10-22. Next refresh: weekly.
Why use Drex v1.5 on DeepInfra?
DeepInfra offers Drex v1.5 with pay-as-you-go pricing at $0.04/1M input tokens. DeepInfra is a cloud inference platform offering cost-effective access to open-source AI models.
Input / 1M
$0.040
Output / 1M
Free
Cache
Not sourced
Batch
Not sourced
Setup recipe
Python + curlInstall
pip install openaiAuth
export DEEPINFRA_API_KEY=...Call
import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ["DEEPINFRA_API_KEY"],Model ID
nace-ai/drex-v1.5Request example
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-v1.5",
messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)Gotchas
- Use provider model ID "nace-ai/drex-v1.5", not the LLMReference slug "drex-v1.5".
- DeepInfra 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.
- The examples expect DEEPINFRA_API_KEY; rename it only if your application config maps the new variable.
Pricing
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.04 |
| Output tokens | Free |
Capabilities
No model capability flags are currently sourced.
About Drex v1.5
Drex v1.5 is Nace.AI's ~9B open-weight decision model (MiMo-V2.6-Distill-Qwen-9B backbone): it returns a probability for each option of typed questions in one forward pass; #1 under 10B on the public Decision Index 0.3.1. Nace.AI Open RAIL-M license.
Get Started
Model Specs
Released2026-09-28
Parameters9B
Context128K