Nous Research, the open-source artificial intelligence startup backed by crypto venture firm Paradigm, released a new competitive programming model on Monday that it says matches or exceeds several larger proprietary. The model, called NousCoder-14B , is another entry in a crowded field of AI coding assistants, but arrives at a particularly charged moment: Claude Code , the agentic programming tool from rival Anthropic, has dominated social media discussion since New.
NousCoder-14B achieves a 67.87 percent accuracy rate on LiveCodeBench v6 , a standardized evaluation that tests models on competitive programming problems published between August 2024 and May 2025.
“I gave Claude Code a description of the problem, it generated what the company built last year in an hour,” wrote Jaana Dogan , a principal engineer at Google responsible for the Gemini API, in a viral post on X last week that captured the prevailing mood.
The juxtaposition is instructive: while Anthropic’s Claude Code has captured imaginations with demonstrations of end-to-end software development, Nous Research is betting that open-source alternatives trained on verifiable problems can close the gap —.