Virtual poolant:reasoning

ANT Reasoning

Thinking-capable models only, with a quality floor of 70.

Try in Playground
Extended thinking: RequiredQuality floor: 70/100 or above

How this pool routes

ant:reasoning hard-requires models that support extended thinking, then weights quality heavily. Non-reasoning models are excluded no matter how well they score, so multi-step problems get a model that can actually deliberate.

Best For

Multi-step reasoningMath and logicPlanning

Where requests went

Live routing over the last 30 days

Requests

275

Success rate

0%

Avg latency

2ms

ant:reasoningUnknown100% · 275

Models in this pool

20 models across 11 providers currently qualify. Per-request limits (context size, cost caps, your model allowlist) narrow this further at routing time.

Quick Start

from openai import OpenAI

client = OpenAI(
    base_url="https://api.antbase.ai/v1",
    api_key="YOUR_ANT_API_KEY",
)

response = client.chat.completions.create(
    model="ant:reasoning",
    messages=[{"role": "user", "content": "Hello!"}]
)
print(response.choices[0].message.content)

Routing weights

Speed30/100
Quality90/100
Cost30/100

Selection criteria

Extended thinkingrequiredRequired
Quality floorrequired70/100 or above
Speed weight30/100
Quality weight90/100
Cost weight30/100
Model IDant:reasoning

Other pools

Every virtual pool accepts the same request shape — swap the model id to change the routing policy.

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