Nous Research's NousCoder-14B is an open-source coding mo...

What’s Happening

So get this: Nous Research, the open-source AI startup backed by crypto venture firm Paradigm, dropped a new competitive programming model on Monday that it says matches or exceeds several larger proprietary systems — trained in just four days using 48 of Nvidias latest B200 graphics processors.

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 ri Nous Researchs NousCoder-14B is an open-source coding model landing right in the Claude Code moment Michael Nuñez Credit: VentureBeat made with Midjourney Nous Research , the open-source AI startup backed firm Paradigm , dropped a new competitive programming model on Monday that it says matches or exceeds several larger proprietary systems — trained in just four days using 48 of Nvidias latest B200 graphics processors . 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 socials discussion since New Years Day, with developers posting breathless testimonials about its capabilities . (we’re not making this up)

The simultaneous developments underscore how quickly AI-assisted software development is evolving — and how fiercely companies large and small are competing to capture what many believe will become a foundational technology for how software gets written.

The Details

87 percent accuracy rate on LiveCodeBench v6 , a standardized evaluation that tests models on competitive programming problems published between August 2024 and May 2025. 08 percentage point improvement over the base model it was trained from, Alibabas Qwen3-14B , according to Nous Researchs technical report published alongside the release.

“I gave Claude Code a description of the problem, it generated what we 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 around AI coding tools. Dogan was describing a distributed agent orchestration system her team had spent a year developing — a system Claude Code approximated from a three-paragraph prompt.

Why This Matters

This adds to the ongoing AI race that’s captivating the tech world.

The AI space continues to evolve at a wild pace, with developments like this becoming more common.

The Bottom Line

This story is still developing, and we’ll keep you updated as more info drops.

What’s your take on this whole situation?