2 entries with this tag
One new research article published: Pareto 26.10 Preview — Unbiased's blended model approach that runs multiple LLMs in parallel and synthesizes the best answer, setting a new cost-performance frontier at $0.24 per DeepSWE task (56× cheaper than Fable 5).
On October 1, 2026, Unbiased (by Circuit & Chisel) released Pareto 26.10 Preview — a blended AI model that runs multiple LLMs in parallel on every request and keeps the best answer. At $0.80/$3.20 per million tokens with 1M context, it scores 69.9% on DeepSWE v1.1 at $0.24 per task, 92.4% on GPQA-Diamond at $0.004 per task, and 50.8% on Terminal-Bench 4.0 at $0.48 per task, setting a new cost-performance frontier across four benchmarks while admitting where GPT-6 Astra and Fable 5.1 still lead.