Virtual poolant:auto

ANT Auto

The default pool — every request classified, then routed to the model that fits it.

How this pool routes

ant:auto applies no capability floor of its own. Each request is classified for task type, complexity and context size, and the router balances speed, quality and cost evenly from there. It is the right default when your traffic is mixed and you would rather not pick a model per call.

Best For

General chatMixed workloadsDrop-in default

Where requests went

Live routing over the last 30 days

Requests

219

Success rate

99.09%

Avg latency

882ms

openai/gpt-oss-20bSemantic-cache20.1% · 44

gemini-2.5-flashSemantic-cache14.2% · 31

command-a-03-2025Semantic-cache11.4% · 25

meta-llama/Llama-4-Scout-17B-16E-InstructSemantic-cache10% · 22

deepseek-ai/DeepSeek-V4.1-FlashSemantic-cache7.8% · 17

openai/gpt-oss-120bSemantic-cache7.8% · 17

qwen/qwen3-vl-30b-a3b-thinkingOpenRouter4.6% · 10

GPT-OSS 20BHugging Face3.7% · 8

Gemini 2.5 FlashGoogle Gemini3.2% · 7

Llama 4 ScoutHugging Face2.7% · 6

Models in this pool

12,050 models across 34 providers currently qualify. Per-request limits (context size, cost caps, your model allowlist) narrow this further at routing time.

Claude Sonnet 5

Anthropic1M👁🧠Q:96

OpenAI200K👁🧠Q:96

Anthropic: Claude Opus 5

OpenRouter1M👁Q:95

Anthropic: Claude Opus 4.8

OpenRouter1M👁Q:95

Anthropic: Claude Opus 5 (batch)

OpenRouter1M👁Q:95

Anthropic: Claude Opus 4.6

OpenRouter1M👁Q:95

Anthropic: Claude Opus 4.1

OpenRouter200K👁Q:95

Anthropic: Claude Opus Latest

OpenRouter1M👁Q:95

Anthropic: Claude Opus 4.7

OpenRouter1M👁Q:95

Anthropic: Claude Opus 5.5 (batch)

OpenRouter1M👁Q:95

Anthropic: Claude Opus 4.5

OpenRouter200K👁Q:95

GPT-5

OpenAI400K👁🧠Q:95

Anthropic: Claude Opus 5.5

Claude Sonnet 4

GPT-4.1

Sonar Deep Research

GPT-4.1

OpenAI: GPT-4

Claude 3.5 Sonnet

Command A (03-2025)

Qwen 3 235B

DeepSeek R1 671B (Venice)

Venice66K🧠Q:88

DeepSeek V4 Pro

DeepSeek1M🧠Q:88

Showing the 24 highest-scoring of 12,050.

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

Routing weights

Speed50/100

Quality50/100

Cost50/100

Selection criteria

Speed weight50/100

Quality weight50/100

Cost weight50/100

Model IDant:auto

Other pools

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

Browse all virtual models →