Drex v2.0 on DeepInfra

Drex · Nace.AI

Serverless
Open Weights

Last refreshed 2026-10-22. Next refresh: weekly.

Why use Drex v2.0 on DeepInfra?

DeepInfra offers Drex v2.0 with pay-as-you-go pricing at $0.06/1M input tokens. DeepInfra is a cloud inference platform offering cost-effective access to open-source AI models.

Compare Drex v2.0 across 2 providers to find the best fit for your use case
Input / 1M
$0.060
Output / 1M
Free
Cache
Not sourced
Batch
Not sourced

Setup recipe

Python + curl
Install
pip install openai
Auth
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-v2.0

Request 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-v2.0",
    messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)

Gotchas

  • Use provider model ID "nace-ai/drex-v2.0", not the LLMReference slug "drex-v2.0".
  • 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.

Compare Drex v2.0 Across Providers

ProviderInput (per 1M)Output (per 1M)
DeepInfra$0.06Free
Fireworks AI——

Pricing

TypePrice (per 1M)
Input tokens$0.06
Output tokensFree

Capabilities

No model capability flags are currently sourced.

About Drex v2.0

Drex v2.0 is Nace.AI's open-weight decision model on Qwen3.6-35B-A3B with a Kev pointer head: it answers typed questions about a state with a probability per option in one forward pass. Runs locally via Python, llama.cpp or Ollama; Nace.AI Open RAIL-M license.

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Model Specs

Released2026-10-06
Parameters35B total, 3B active
Context128K
ArchitectureMixture of Experts

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