ant:visionImage-capable models only.
ant:vision hard-requires vision support, so a request carrying an image can never be routed to a text-only model. Detection is instant — the heuristic pass spots image content before classification runs.
Live routing over the last 30 days
Requests
204
Success rate
60.78%
Avg latency
8,294ms
595 models across 21 providers currently qualify. Per-request limits (context size, cost caps, your model allowlist) narrow this further at routing time.
o1-pro
o1-pro
o3
o3
Claude Sonnet 5
OpenAI: o4 Mini High
Anthropic: Claude Opus 4.8 (batch)
Anthropic: Claude Opus 5.5
o1
Anthropic: Claude Opus Latest
Anthropic: Claude Opus 4.1
Anthropic: Claude Opus 5
Anthropic: Claude Opus 4.8
Anthropic: Claude Opus 5.5 (batch)
Anthropic: Claude Opus 4.5
GPT-5
Anthropic: Claude Opus 4.6 (batch)
Anthropic: Claude Opus 4.6
Anthropic: Claude Opus 4.1 (batch)
Anthropic: Claude Opus 4.7
Anthropic: Claude Opus 5 (batch)
o1
Anthropic: Claude Opus 4.5 (batch)
Anthropic: Claude Opus 4.7 (batch)
Showing the 24 highest-scoring of 595.
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:vision",
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 →