ant:fastLatency first — the quickest model that can still do the job.
ant:fast weights speed at the maximum and accepts lower quality scores in exchange. Use it for interactive paths where a fast adequate answer beats a slow excellent one.
Live routing over the last 30 days
Requests
159
Success rate
55.35%
Avg latency
1,211ms
23,753 models across 35 providers currently qualify. Per-request limits (context size, cost caps, your model allowlist) narrow this further at routing time.
o1-pro
o1-pro
o3
Claude Sonnet 5
o3
Anthropic: Claude Opus 4.8 (batch)
Anthropic: Claude Opus Latest
Anthropic: Claude Opus 4.8
Anthropic: Claude Opus 4.7
Anthropic: Claude Opus 4.5 (batch)
Anthropic: Claude Opus 5 (batch)
Anthropic: Claude Opus 4.6 (batch)
GPT-5
o1
Anthropic: Claude Opus 5.5
Anthropic: Claude Opus 5
Anthropic: Claude Opus 4.1 (batch)
OpenAI: o4 Mini High
Anthropic: Claude Opus 5.5 (batch)
Anthropic: Claude Opus 4.5
Anthropic: Claude Opus 4.7 (batch)
OpenAI: o4 Mini (batch)
OpenAI: o3 Mini High
Anthropic: Claude Opus 4.6
Showing the 24 highest-scoring of 23,753.
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:fast",
messages=[{"role": "user", "content": "Hello!"}]
)
print(response.choices[0].message.content)Every virtual pool accepts the same request shape — swap the model id to change the routing policy.
Browse all virtual models →