AlphaLlama makes your GPU
50,000x more powerful

50 billion token context. 100% accuracy. On a single $800 RTX 3090.
50,000x more context than Claude. ~1s queries. Your GPU, not theirs.

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. 50 billion tokens of context on a single consumer GPU. No RAG. No chunking. Just load and ask.

✓50B token context — 50,000x more than Claude. Verified 100% accuracy at every scale.
✓$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

alphachat run qwen3.5:35b --context ./my-project/
Get Started Free

Run Any Model Locally

Run 284B models on your own GPU at 150 tok/s. 37x cheaper than datacenter hardware. Fully private — data never leaves your device.

Free (2M context) · Pro $19/mo (50M) · Business from $60/mo (unlimited)

View pricing →

Business Tier

Unlimited context at $0.30/MTok indexed. API access, multi-seat, SSO, SLA. Runs on professional GPUs.

From $60/mo (200M tokens)

See Business tier →