Ricursive Intelligence / ricursive/ripple-65b-preview
Ripple 65B Preview - access through LLMTR
Ripple 65B Preview is Ricursive Intelligence's open-weight, 65-billion-parameter dense model, trained with a focus on agentic coding. It takes text and answers in text, with a 131,072-token context window. It supports tool calling, including several calls in one turn, JSON object mode and JSON Schema structured output. The model decides on each request whether and how much to reason; the trace is returned in `reasoning_content`, separately from the answer, and reasoning tokens bill as output. Reasoning cannot be turned off and its level cannot be set. Repeated prompt prefixes bill at the cached-input rate. `max_tokens` is accepted up to what the context window leaves after the prompt.
Technical specifications
| Canonical ID | ricursive/ripple-65b-preview |
|---|---|
| Provider | Ricursive Intelligence |
| Context window | 131,072 tokens |
| Operations | CHAT_COMPLETIONS |
| Modalities | text |
Pricing
An 8% platform margin applies to credit top-ups; model usage prices are not separately marked up.
| Operation | Metric | Unit | Price |
|---|---|---|---|
| CHAT_COMPLETIONS | INPUT_TEXT | PER_1M_TOKENS | $0.200000 |
| CHAT_COMPLETIONS | CACHE_READ | PER_1M_TOKENS | $0.020000 |
| CHAT_COMPLETIONS | OUTPUT_TEXT | PER_1M_TOKENS | $0.600000 |
Example usage
With existing OpenAI SDK flows, change only the base URL and model identifier.
curl https://llmtr.com/v1/chat/completions -H "Authorization: Bearer llmtr-your_key" -H "Content-Type: application/json" -d '{"model":"ricursive/ripple-65b-preview","messages":[{"role":"user","content":"Hello"}]}'
Related models
- Gemma 4 llmtr/gemma-4
- Qwen 3.6 35B-A3B llmtr/qwen3-6-35b
- Qwen 3.8 27B llmtr/qwen3-8-27b
- Trendyol Asure 12B llmtr/trendyol-asure-12b
- Magibu 11B v8 llmtr/magibu-11b-v8
- Muse Glimmer 30B (Turkey) llmtr/muse-glimmer-30b-tr
- Leyla llmtr/leyla
- EmbeddingMagibu 200M llmtr/embeddingmagibu-200m