Last refreshed 2026-10-22. Next refresh: weekly.
Why use Drex v2.0 on Fireworks AI?
Fireworks AI offers Drex v2.0. Fireworks AI offers a generative AI platform as a service, focusing on rapid product iteration and cost-efficient AI deployment.
Compare Drex v2.0 across 2 providers to find the best fit for your use caseInput / 1M
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Output / 1M
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Cache
Not sourced
Batch
Not sourced
Setup recipe
Python + curlInstall
pip install openaiAuth
export FIREWORKS_API_KEY=...Call
import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ["FIREWORKS_API_KEY"],Model ID
accounts/fireworks/models/drex-v2-0Request example
import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ["FIREWORKS_API_KEY"],
base_url="https://api.fireworks.ai/inference/v1"
)
response = client.chat.completions.create(
model="accounts/fireworks/models/drex-v2-0",
messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)Gotchas
- Use provider model ID "accounts/fireworks/models/drex-v2-0", not the LLMReference slug "drex-v2.0".
- Fireworks model IDs use "accounts/fireworks/models/{model-name}" format, e.g. "accounts/fireworks/models/llama4-scout-instruct-basic" or "accounts/fireworks/models/deepseek-r1".
- The examples expect FIREWORKS_API_KEY; rename it only if your application config maps the new variable.
Compare Drex v2.0 Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| DeepInfra | $0.06 | Free |
| Fireworks AI | — | — |
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