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
315
Success rate
0%
Avg latency
3ms
24,347 models across 34 providers currently qualify. Per-request limits (context size, cost caps, your model allowlist) narrow this further at routing time.
o3
o3
Claude Sonnet 5
GPT-5
Anthropic: Claude Opus 4.1
Anthropic: Claude Opus 5 (batch)
Anthropic: Claude Opus 4.5
Anthropic: Claude Opus 5.5
Anthropic: Claude Opus 4.7
Anthropic: Claude Opus 4.6
Anthropic: Claude Opus 5
Anthropic: Claude Opus 5.5 (batch)
Anthropic: Claude Opus 4.8
Anthropic: Claude Opus Latest
Claude Sonnet 4
DeepSeek R1 671B (Venice)
Command A (03-2025)
GPT-4.1
GPT-4.1
Claude 3.5 Sonnet
Qwen 3 235B
DeepSeek V4 Pro
OpenAI: GPT-4
Sonar Deep Research
Showing the 24 highest-scoring of 24,347.
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 →