⚡ Zen LM
Models

zen4-thinking

Deep reasoning model with 80B (3B active) MoE + chain-of-thought. 131K context.

zen4-thinking

Deep Reasoning

Dedicated reasoning model with explicit chain-of-thought. Same MoE architecture as zen4-pro with CoT reasoning enabled for step-by-step problem solving.

Specifications

PropertyValue
Model IDzen4-thinking
Parameters80B (3B active)
ArchitectureMoE + CoT
Context Window131K tokens
Tierpro max
Input Price$2.70 / 1M tokens
Output Price$2.70 / 1M tokens

Capabilities

  • Explicit chain-of-thought reasoning
  • Mathematical and logical problem solving
  • Step-by-step analysis and deduction
  • Complex multi-step planning
  • 131K context window

API Usage

curl https://api.hanzo.ai/v1/chat/completions \
  -H "Authorization: Bearer $HANZO_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "zen4-thinking",
    "messages": [{"role": "user", "content": "Solve: If 2^x = 1024, what is x?"}]
  }'
from hanzoai import Hanzo

client = Hanzo(api_key="hk-your-api-key")

response = client.chat.completions.create(
    model="zen4-thinking",
    messages=[{"role": "user", "content": "Solve: If 2^x = 1024, what is x?"}],
)
print(response.choices[0].message.content)

See Also

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