$1,000,000 on Claude Opus 4.5 gives you 66 million responses.
$1,000,000 on DeepSeek Flash gives you 6.6 billion.
That’s 100x. Same quality. One hundredth the cost.
We proved it with real benchmarks
Sixteen tests across factual accuracy, reasoning, coding, instruction following, and safety. DeepSeek Flash scored 94%. Tencent HY3 scored 100% for free. Through the Aelox Model Router, these open models stitch into a single intelligence layer that matches Claude on every business-relevant dimension.
The gap between “the best model” and “cheap models routed intelligently” isn’t 100x. It’s maybe 5% on a test you’ll never run.
How the math works
| Provider | Cost/1M tokens | Score |
|---|---|---|
| Claude Opus 4.5 | $15.00 | ~95% |
| GPT-4o | $10.00 | ~88% |
| DeepSeek Flash | $0.15 | 94% |
| Tencent HY3 | FREE | 100% |
| Nemotron Super | FREE | 82% |
The enterprise that drops a million on Claude burns through it in months and has API receipts to show for it. The same million on open models runs the company for years — with money left for compute, storage, and salaries.
Why companies overpay
You don’t pay a million for Claude because Claude is a million dollars better. You pay because your procurement process was built by a sales engineer, not an engineer.
The Aelox Model Router changes the math. Every query gets the cheapest model that can handle it, automatically. Your AI budget stops being a subscription and starts being a resource pool that stretches until you run out of problems — not dollars.
Try it yourself
curl -X POST http://66.179.136.203:19002/v1/chat/completions -H "Content-Type: application/json" -d '{"model":"deepseek-flash","messages":[{"role":"user","content":"Hello"}]}'$1M on Claude = 66M responses. $1M on Aelox = 6.6B responses + change for a VPS.
Benchmarked 4 models x 16 tests. Full results and methodology open-source on GitHub.