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ANT vs Cerebras
Same wafer-scale speed. Plus intelligent routing when you need more than raw performance.
| Feature | Cerebras | ANT (Antbase) |
|---|---|---|
| Speed | Fastest inference (wafer-scale) | Cerebras for speed + others for quality |
| Free tier | Free models available | Cerebras free + NVIDIA, Groq free |
| Models available | ~3 models | 20,000+ across 30+ providers |
| Provider failover | None | Automatic failover |
| Frontier models | Open-source only | Open + GPT-5, Claude, Gemini |
| API format | OpenAI-compatible | OpenAI-compatible (same) |
Cerebras is blindingly fast — ANT uses it for latency-critical tasks
Cerebras delivers near-instant responses. ANT routes speed-critical requests to Cerebras and quality-critical ones to frontier models.
One line to switch
python
# 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 Cerebras code
Change one URL. Get intelligent routing, failover, and 20,000+ models. $5 free credits to start.