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]
- Apache 2.0
- Claude Code
- DGX Spark
- Hermes IDE
- Hugging Face
- Meta*
- Nvidia
- Ricursive Intelligence
- Ripple-65B
- Thinking machines
- transformers
- VentureBeat
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