AlphaLlama makes your GPU
50,000x more powerful

50 billion token context. 50,000x more context than Claude.
On a single $800 RTX 3090. Found 184 Wikipedia errors!

50,000x over Claude

50 billion tokens on your $800 RTX 3090. Claude stops at 1 million.

hero.chartCompare

1M
50B

Claude · 1M max

AlphaLlama · 50B

Feed it everything.

Your entire codebase. All your documents. Every email ever written. Extend context windows of any model to 50 billion tokens on a single consumer GPU. Just load and ask.

✓50B token context — 50,000x more than Claude. 92-99% accuracy from 4M to 82B tokens.
✓$800 GPU, not $800K — your RTX 3090 does what datacenter farms can't. ~1s latency, any corpus size.
✓Free tier — 2M context, no credit card. Pro $19/mo for 50M.
✓Fully private — your codebase never leaves your machine

Try it now

./alphallama -m qwen3.5-35b.gguf --port 18080 -ngl 999

Run Any Model Locally

50 billion token context on a single $800 GPU. 50,000x more than Claude. Fully private — data never leaves your device.

Free (2M context) · Pro $19/mo (50M) · Business $0.14/$0.28 per MTok (unlimited)

View pricing →

Business Tier

Unlimited context. $0.14/MTok input, $0.28/MTok output. API access, multi-seat, SSO, SLA. Runs on professional GPUs.

$0.14 / $0.28 per MTok in/out

See Business tier →