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ricursiveAI/Ripple-65B-Preview

ricursiveai/ripple-65b-preview

newtool callingprompt caching

ricursiveAI/Ripple-65B-Preview costs $0.200 per 1M input tokens and $0.600 per 1M output tokens with a 1.0M-token context window.

A tool-calling model from ricursiveai, released Nov 4, 2026. LiveBench hasn't published a run for it, so this page carries measured price and specs only — no benchmark numbers.

Input / 1M
$0.200
Output / 1M
$0.600
Context
1.0M
LiveBench overall
Not evaluated

Specs and pricing

Input price

USD per 1M prompt tokens

$0.200
Output price

USD per 1M completion tokens, reasoning included

$0.600
Blended price

3:1 input:output — #105 cheapest of 351 listed models

$0.300
Cached input read

Blank means not priced separately — not free

$0.050
Cache write—
Context window1,048,576 tokens
Max output131,072 tokens
Input modalitiestext
Tool callingYes
Extended reasoningNo
Knowledge cutoff—
ListedNov 4, 2026

What ricursiveAI/Ripple-65B-Preview costs to run

Monthly list cost across five workload shapes, using the published cached-input rate where there is one. A floor, not a quote — batch discounts and cache writes aren't included.

WorkloadPer month
Support chatbot

1.2K in / 400 out × 200K requests

$85.20/mo
RAG assistant

8K in / 600 out × 100K requests

$136.00/mo
Coding agent

40K in / 4K out × 20K requests

$124.00/mo
Document extraction

20K in / 1.5K out × 50K requests

$237.50/mo
Bulk classification

500 in / 20 out × 5M requests

$485.00/mo
Price your own workload

Compare ricursiveAI/Ripple-65B-Preview with

Benchmarked models at a similar price.

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ricursiveAI/Ripple-65B-Preview FAQ

How much does ricursiveAI/Ripple-65B-Preview cost?

ricursiveAI/Ripple-65B-Preview lists at $0.200 per 1M input tokens and $0.600 per 1M output tokens, with cached input reads at $0.050 per 1M. A RAG assistant handling 100K requests a month (8K tokens in, 600 out) comes to about $136.00 at list price.

What is the context window of ricursiveAI/Ripple-65B-Preview?

ricursiveAI/Ripple-65B-Preview accepts up to 1,048,576 tokens of context and can return up to 131,072 output tokens per response.

Does ricursiveAI/Ripple-65B-Preview support tool calling?

Yes — ricursiveAI/Ripple-65B-Preview supports tool (function) calling. It accepts text input.

How does ricursiveAI/Ripple-65B-Preview score on benchmarks?

LiveBench has not published a run for ricursiveAI/Ripple-65B-Preview yet. Until it does, compare it on price and specs, or run your own evaluation on your own tasks.

What is the API model ID for ricursiveAI/Ripple-65B-Preview?

On OpenRouter the model ID is "ricursiveai/ripple-65b-preview". It was listed on Nov 4, 2026.

How these numbers are produced

  • Price and specs — provider list data from OpenRouter, refreshed every 15 minutes. “Blended” is a 3:1 input:output mix.
  • Scores and ranks — LiveBench release 2026-10-25. Ranks count only models that have a published run; a blank means “not evaluated”, never “bad”.
  • Cost per point — the measured dollars LiveBench spent on the run, divided by the score it earned.

Published benchmarks rank models on someone else's tasks. Before committing, see LLM & agent evaluation for building an eval on your own.