Models · scorecard

ricursiveAI/Ripple-65B-Preview

What the vendor claims, next to what independent boards measured. The two are never mixed in one column.

At a glance

Maker: n/a
Price per 1M tokens: $0.2 in · $0.6 out
Context window: 1.05M
Input → output: text → text
Added to OpenRouter: Nov 4, 2026

Source: OpenRouter, as of Nov 5, 16:00 UTC. Model page on OpenRouter

What the vendor claims

Quoted word for word from the vendor's own launch post or model card. Claims, not measurements.

Scores the vendor claims, each with its source and the quoted line
Benchmark	Claimed	Source
TerminalBench 2.1The source says: We reached a TerminalBench 2.1 score of 80.5 with only 1.4M rollouts, roughly 70x fewer rollouts than Reflection Beam, the prior SOTA.	80.5%	Ricursive · Nov 4 From Drop #067 · Thu, Nov 5, 2026 · Morning

Independent results

Measured by independent sources (Epoch AI, LMArena, OpenRouter's benchmark runs, τ²-bench, Vectara), not by the vendor. "Listed as" is the source's own name for the model, so you can check our match.

No independent results yet. They appear here as Epoch AI and LMArena add this model.

Price history

OpenRouter's list price per 1M tokens in each of our snapshots.

Output now $0.6
Input now $0.2

Unchanged across our 2 snapshots.

Show the numbers

This model's OpenRouter price in each of our snapshots
Snapshot	Input $/1M	Output $/1M
Nov 5, 16:05 UTC	$0.2	$0.6
Nov 5, 10:05 UTC	$0.2	$0.6

Source: OpenRouter, as of Nov 5, 16:05 UTC

In the Drops

ModelsNov 5, 2026

Ricursive releases Ripple-65B Preview, an open-weight coding model it says cost $32M

Ricursive says its dense 65B model scores 80.52 on TerminalBench 2.1, ahead of larger US open-weight models, and that $32M covered all R&D. OpenRouter lists it at $0.2 in and $0.6 out per 1M tokens.

Why it matters: A US open-weight coding option that Ricursive says runs on local hardware like DGX Spark. Worth a trial for self-hosted coding agents; the scores are the vendor's own.

Ricursive · Nov 4 OpenRouter · Nov 4 Hacker News · Nov 4

From Drop #067 · Thu, Nov 5, 2026 · Morning