tngtech/deepseek-r1t2-chimera

$0.30

Input / 1M

$1.10

Output / 1M

164K

Context

—

Speed

Capabilities

json_modetools

Use deepseek-r1t2-chimera via Relay

Configure the model alias in YAML, then call it from Python.

YAML

# models.yaml
version: 1
models:
  deepseek:
    target: tngtech/deepseek-r1t2-chimera
    credential: $env.TNGTECH_API_KEY

Python

from relay import Hub

async with Hub.from_yaml("models.yaml") as hub:
    resp = await hub.chat(
        "deepseek",
        messages=[{"role": "user", "content": "Hello"}],
    )
    print(resp.text, resp.cost_usd)

pip install ai5labs-relay · full docs on GitHub

Compare with

vs groq/llama-3.3-70b-versatile vs anthropic/claude-haiku-4-5 vs mistral/mistral-large-latest vs openai/gpt-4o-mini