Better
answers
from
open
models
Fortytwo builds AI infrastructure where models collaborate
to deliver higher accuracy, efficiency, and safety.
Engine
An API that uses Swarm Inference
to make open models more
accurate and token-efficient.
- Qwen3.8-27B is live
- OpenAI-compatible API
accuracy
Models guide a shared reasoning process, improving the answer as it is generated.
per task
Up to 25% fewer tokens
per task compared with
the base model.
more done
Same per-token price as the
base model. Higher token efficiency
helps your budget go further.
Engine
An API that uses Swarm Inference
to make open models more
accurate and token-efficient.
- Qwen3.8-27B is live
- OpenAI-compatible API
accuracy
Models guide a shared reasoning process, improving the answer as it is generated.
per task
Up to 25% fewer tokens
per task compared with
the base model.
more done
Same per-token price as the
base model. Higher token efficiency
helps your budget go further.
Harbor
Frontier-grade AI that runs entirely inside your perimeter. Better than any open weight model available, zero data egress, at a fixed cost.
behind your firewall
Run a swarm of specialized models on your infrastructure, with frontier-grade reasoning and no data ever leaving your environment.
prompt injection risks
Models evaluate each other constantly, increasing protection against misleading prompts. Reputation-weighted voting sets aside inappropriate answers.
predictable scalability
Fixed hardware cost replaces per-token billing, for predictable spend and controlled rate limits. ~30% lower total cost of ownership.
Harbor
Frontier-grade AI that runs entirely inside your perimeter. Better than any open weight model available, zero data egress, at a fixed cost.
behind your firewall
Run a swarm of specialized models on your infrastructure, with frontier-grade reasoning and no data ever leaving your environment.
prompt injection risks
Models evaluate each other constantly, increasing protection against misleading prompts. Reputation-weighted voting sets aside inappropriate answers.
predictable scalability
Fixed hardware cost replaces per-token billing, for predictable spend and controlled rate limits. ~30% lower total cost of ownership.
Recent open-sourced
releases
Fortytwo’s
Strand-Rust-Coder-14B
The first AI model built on a Fortytwo-generated dataset. The best at coding in Rust, ranked #1 on the RustEvo2 benchmark. Open-sourced
for everyone.
x402EscrowWe have open-sourced
x402Escrow
An escrow extension for the x402 payment protocol that enables pay-per-token billing for AI inference when costs are unknown
at request time.
Latest ResearchLatest research
Fortytwo turns heterogeneous AI models into a reputation-weighted inference network, outperforming majority voting while staying robust to noisy and adversarial prompts.
Read on ArXivSelf-supervised nodes generate and rank each other's responses, reaching trustless consensus without ZK proofs, while filtering out malicious participants through peer judgment.
Read on ArXivvs. Frontier Models
Benchmark results showing how a swarm of smaller models outperforms GPT-5, Claude Opus, and Grok-4 on key benchmarks.
View resultsThe first SLM trained by the swarm.
SOTA in Rust coding model, open-sourced and deployed across Fortytwo nodes.