ANT vs OpenAI
Same token prices. Zero markup. But with intelligent routing, failover, and 20,000+ models.
| Feature | OpenAI | ANT (Antbase) |
|---|---|---|
| Token pricing | $2.50–$30/M input | Same — zero markup |
| Models available | ~15 OpenAI models | 20,000+ across 30+ providers |
| Provider failover | None | Automatic — reroutes to Anthropic, Google, etc. |
| Smart routing | You pick the model | ANT picks the best model per task |
| Cost optimization | GPT-5 for everything | 30-50% savings via auto-downrouting |
| Free models | None | Llama, Gemma, Qwen via ant:free |
| Reasoning models | o3, o1 | o3 + DeepSeek R1 + Claude Thinking + Qwen |
| Code change | N/A | One line: change base_url |
You keep using OpenAI — ANT just makes it smarter
Every OpenAI model is available through ANT at the exact same price. ANT also gives you 20,000+ other models and decides when GPT-5 is needed vs when a cheaper model works just as well.
What happens when OpenAI goes down at 3 AM?
With OpenAI direct: your app breaks. With ANT: requests reroute to Claude, Gemini, or Llama. Zero downtime, zero code changes.
60% of your requests don't need GPT-5
ANT's classifier detects that most requests work perfectly with GPT-4.1 mini or free models. Only complex tasks escalate to GPT-5. Same quality, 30-50% lower cost.
1M requests/month with GPT-5
OpenAI Direct
All requests → GPT-5
~$4,000/mo
Through ANT (ant:auto)
20% GPT-5, 40% GPT-4.1, 30% mini, 10% free
~$1,600/mo
$2,400/mo saved
One line to switch
# Change one line — get intelligent routing
client = OpenAI(
base_url="https://antbase.ai/v1",
api_key="ant_...",
)
response = client.chat.completions.create(
model="ant:auto", # ANT picks the best model
messages=[{"role": "user", "content": "Hello!"}],
)More Comparisons
Try ANT — keep your OpenAI code
Change one URL. Get intelligent routing, failover, and 20,000+ models. $5 free credits to start.