Not marketing. Data. We tested 19 models across 13 real-world questions and compared against every major AI provider.
How Optamil stacks up against every major AI provider.
| Provider | Models | Best Accuracy | Fastest | Cost/Query | Routing | Free Tier |
|---|---|---|---|---|---|---|
| Optamil Winner | 62 | 100% (9 models) | 11ms | $0.0002 | Neural Router | 10K OCC |
| OpenAI | ~20 | 88% MMLU | ~500ms | $0.01–0.06 | None | None |
| Anthropic | ~6 | 89% MMLU | ~800ms | $0.01–0.08 | None | None |
| ~10 | 92% MMLU | ~300ms | Free–$3.50/M | None | 250K TPM | |
| Groq Fast | ~15 | 95% | 80ms | Free (limited) | None | Rate-limited |
| OpenRouter | 300+ | Varies | Varies | Pass-through +5.5% | Basic | 29 free models |
| Manus | 2–3 | 86.5% GAIA | ~4 min/task | ~$2/task | None | 300 credits/day |
| Perplexity | ~4 | N/A | ~1.5s | $1–8/M | None | None |
| DeepSeek | 3–4 | 92% | ~500ms | $0.028/M | None | None |
19 models tested against 13 real-world questions. 9 hit perfect scores.
Time to first token. Lower is better.
Average cost for a typical query. Lower is better.
We don't compete with models. We compete with routing.
Every query is analyzed and routed to the optimal model based on task type, complexity, and cost constraints. No other provider does this.
Seven of our nine perfect-accuracy models cost nothing. The router knows when free models will nail it and when to escalate.
Repeat and similar queries are served from cache at 11ms and $0.00. No tokens consumed. No API call made.
62 models from 7 providers through a single OpenAI-compatible endpoint. Replace 9 API keys with 1.
If a provider goes down, traffic reroutes instantly. Underperforming models like qwen3-coder-free (23%) are auto-excluded.
5-tier auto-scaling keeps 70% of queries on free models. Set hard budget limits per key. Never get a surprise bill.
OpenAI-compatible API. Change the base URL and you're done.
from openai import OpenAI # Before: Single provider, $0.01+/query client = OpenAI() # After: 62 models, neural routing, $0.0002/query client = OpenAI( base_url="https://api.optamil.com/v1", api_key="opt-your-key-here" ) # Same code. Better results. 80% cheaper. response = client.chat.completions.create( model="auto", # Neural Router picks the best model messages=[{"role": "user", "content": "Explain quantum computing"}] )
auto tier uses Neural Router; fast and free tiers route to lowest-latency and zero-cost models respectively.