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Large Language ModelsOpen-Source AITHE DECODERPublished: Nov 7, 2026, 06:01 JST

Ripple-65B Preview: $32 million open US model tops TerminalBench 2.1

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Ripple-65B Preview: $32 million open US model tops TerminalBench 2.1

3 Key Points

  1. What happened

    Ricursive Intelligence released Ripple-65B Preview under Apache 2.0 on Hugging Face, pretrained on 12 trillion tokens, with a score of 80.52 on TerminalBench 2.1, the best among open US models.

  2. Why it matters

    At $32 million covering all research and development, the model may be cheaper to build than comparable efforts, and its dense 65B design is likely easier to deploy on user hardware than Inkling 2 Small.

WHO IT HITSEnterprise IT teams evaluating self-hosted coding models may find Ripple-65B Preview easier to run on their own Nvidia hardware than the larger, higher-scoring Inkling 2 Small.

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Context & Analysis

Ripple-65B Preview stands out not only for its benchmark score but for its reported cost. Ricursive says total development and training costs amounted to just $32 million, covering all research and development expenses.

The model uses a dense Transformer architecture with 65 billion parameters rather than the more common mixture-of-experts approach, and it is optimized for Nvidia hardware. Ripple partly uses Terminus 2 and partly OpenCode as its harness.

While Ripple-65B Preview leads open US models on TerminalBench 2.1, it trails the also newly released Inkling 2 Small on SWE-Bench Pro v2.0 Hard, DeepSWE v1.1, and MCP Atlas. Still, Ricursive argues that Ripple is likely easier to deploy on users' own hardware.

FAQ
What is Ripple-65B Preview's license?
It is available on Hugging Face under the Apache 2.0 license.
How does Ripple-65B Preview compare to Inkling 2 Small?
Ripple does not match Inkling 2 Small on the listed benchmarks, but it is likely easier to deploy on users' own hardware.
How much did it cost to develop Ripple-65B Preview?
According to Ricursive, total development and training costs amounted to just $32 million, covering all research and development expenses.
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