PulseAugur
EN
LIVE 07:48:28

Ricursive Intelligence releases Ripple-65B with 1M context, mixed benchmark results

Ricursive Intelligence has released Ripple-65B Preview, a 65-billion-parameter dense model trained on 12 trillion tokens. The model's weights are available on Hugging Face under an Apache 2.0 license. While Ricursive claims strong performance on benchmarks like Terminal-Bench 2.1, independent evaluations show mixed results compared to other large models. The model supports a context window of up to 1 million tokens, though practical limits vary depending on the inference setup, with its DGX Spark script capping at 131,072 tokens. AI

IMPACT Offers a new dense model option with a large context window, potentially impacting the cost-performance trade-offs for specific AI applications.

RANK_REASON New model release from a lab with claimed performance improvements and large context window. [lever_c_demoted from frontier_release: ic=1 ai=1.0]

Read on dev.to — LLM tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Ricursive Intelligence releases Ripple-65B with 1M context, mixed benchmark results

How we ranked this

Signal score
36 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Significant
New model release from a lab with claimed performance improvements and large context window. [lever_c_demoted from frontier_release: ic=1 ai=1.0]
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
model release, product
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
Breaking (< 6h)
Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

Full methodology in our editorial standards.

COVERAGE [1]

  1. dev.to — LLM tag TIER_1 English(EN) · Gabriel Anhaia ·

    Ripple-65B Is an Open Coder With 1M Context. Its DGX Spark Script Stops at 128K

    <ul> <li> <strong>Book:</strong> <a href="https://www.amazon.com/dp/B0GX2YDC5Z" rel="noopener noreferrer">RAG Pocket Guide</a> </li> <li> <strong>Also by me:</strong> <em>Thinking in Go</em> (2-book series) — <a href="https://xgabriel.com/go-book" rel="noopener noreferrer">Comple…