Virtual poolant:vision

ANT Vision

Image-capable models only.

Try in Playground
Vision: Required

How this pool routes

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.

Best For

Image understandingScreenshot analysisVisual QA

Where requests went

Live routing over the last 30 days

Requests

204

Success rate

60.78%

Avg latency

8,294ms

ant:visionUnknown36.8% · 75
openai/o4-miniSemantic-cache23.5% · 48
qwen/qwen3.7-flashSemantic-cache14.7% · 30
qwen/qwen3.5-9bSemantic-cache12.7% · 26
openai/o3OpenRouter4.9% · 10
openai/gpt-4.1-nanoOpenRouter3.9% · 8
openai/gpt-5OpenRouter2.5% · 5
openai/o4-mini-highOpenRouter0.5% · 1
qwen/qwen3.5-flash-02-23OpenRouter0.5% · 1

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:vision",
    messages=[{"role": "user", "content": "Hello!"}]
)
print(response.choices[0].message.content)

Routing weights

Speed50/100
Quality80/100
Cost50/100

Selection criteria

VisionrequiredRequired
Speed weight50/100
Quality weight80/100
Cost weight50/100
Model IDant:vision

Other pools

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

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