The AI Routing
Engine.
ANT analyzes every prompt and automatically selects the best AI model across the entire ecosystem — optimizing quality, speed, and cost in real time.
Refactor this Rust async runtime to use io_uring
Every request, intelligently routed
ANT's pipeline processes each prompt through four stages in milliseconds.
Classify
Detect task type, complexity, required capabilities
Score
Evaluate 20,000 models on quality, speed, cost
Route
Select optimal model + provider with failover
Execute
Stream response with real-time topology trace
The Playground
Test any model. See routing decisions live. Compare outputs side by side.
Explain the difference between TCP and UDP
Simple factual explanation. GPT-4.1 mini provides high quality at 20x lower cost than frontier models.
Model Fusion
Send one prompt to multiple models. Compare outputs. Merge the best answer.
Anthropic
OpenAI
Fused answer — best elements from each model, validated for consistency
Every model. One API.
20,000+ models across 30+ providers. ANT picks the best one for every request.
Virtual Models
Pick an intent, not a model. ANT handles the rest.
Balanced routing — quality, speed, cost
Optimized for code generation
Chain-of-thought thinking models
Maximum quality, any cost
Lowest latency responses
Zero cost, open-source models
Full visibility
Every route, every model, every token — tracked and explained.
Stop picking models.
Start shipping.
One API. Every model. Intelligent routing. Change your base URL and let ANT handle the rest.
// Change one line. Get every model.
base_url = "https://antbase.ai/v1"