# Ripple-65B Preview

Model tracker · checked 2026-11-06 · https://dbggr.dev/models/ripple-65b-preview/

Dense 65B open-weight model for agentic coding and reasoning, text only

Ripple-65B Preview is a fast open-weight model from Ricursive Intelligence, released 3 November 2026. It's in preview. At Together AI it costs $0.20 per million input tokens and $0.60 per million output tokens, with a 131K-token context window.

- Made by: Ricursive Intelligence
- Released: 2026-11-03
- Status: Preview, new
- Tier: Fast
- Weights: Open
- Memory to run: About 156 GB (BF16)
- Context window: 131,072 tokens
- Input: text
- API id: ricursive-ai/Ripple-65B-Preview
- Docs: https://www.together.ai/models/ripple-65b-preview

## Ripple-65B Preview price at Together AI

US dollars per million tokens. Blended is 3 input tokens for every output token, one number to compare on.

| Provider | Input | Output | Cached input | Blended | Batch | Checked |
|---|---|---|---|---|---|---|
| Together AI | $0.20 | $0.60 | $0.02 | $0.30 | – | [2026-11-06](https://www.together.ai/pricing) |

- Together AI: Together lists a 128K context window for its serverless endpoint; the model supports up to 1M.

## Ripple-65B Preview benchmarks

| Benchmark | Score | What it measures | Reported by |
|---|---|---|---|
| SWE-bench Verified | 76.5% | real GitHub issues fixed | [Ricursive Intelligence](https://huggingface.co/ricursiveAI/Ripple-65B-Preview) |
| GPQA Diamond | 85.2% | graduate-level science questions answered correctly | [Ricursive Intelligence](https://huggingface.co/ricursiveAI/Ripple-65B-Preview) |

Scores reported by a model's maker aren't independently checked.

## Can you run Ripple-65B Preview yourself?

Yes. Ricursive Intelligence publishes the weights on Hugging Face as [ricursiveAI/Ripple-65B-Preview](https://huggingface.co/ricursiveAI/Ripple-65B-Preview), under Apache 2.0: 64.8B parameters, 130 GB in BF16.

Running it takes about 156 GB of GPU memory: a server with several data-centre GPUs (eight 80 GB GPUs hold 640 GB). That's the weight files plus 20% for working memory with short inputs; long contexts need more, and fitting in memory doesn't make it fast.

Ricursive Intelligence also publishes a smaller NVFP4 version, [ricursiveAI/Ripple-65B-Preview-NVFP4](https://huggingface.co/ricursiveAI/Ripple-65B-Preview-NVFP4), at 57 GB: about 69 GB to run, so one 80 GB data-centre GPU, or a Mac with comfortably more unified memory than that. NVFP4 needs NVIDIA's Blackwell-generation GPUs.

## Models like Ripple-65B Preview

| Model | Input | Output | Context | Weights |
|---|---|---|---|---|
| Ripple-65B Preview | $0.20 | $0.60 | 131K | Open |
| [Gemma 4 26B A4B](https://dbggr.dev/models/gemma-4-26b-a4b/) | $0.15 | $0.60 | 262K | Open |
| [MiniMax M3.1 Flash](https://dbggr.dev/models/minimax-m3-1-flash/) | $0.15 | $0.60 | 1M | Open |
| [Mistral Small 4](https://dbggr.dev/models/mistral-small-4/) | $0.15 | $0.60 | 256K | Open |
| [GLM-5.3 Flash](https://dbggr.dev/models/glm-5-3-flash/) | $0.15 | $0.50 | 1M | Open |
| [NVIDIA Nemotron 3.5 Super VL](https://dbggr.dev/models/nvidia-nemotron-3-5-super-vl/) | $0.15 | $0.50 | 262K | Open |

## FAQ

### How much does Ripple-65B Preview cost?

Ripple-65B Preview costs $0.20 per million input tokens and $0.60 per million output tokens at Together AI, and $0.02 per million cached input tokens. Prices are list prices in US dollars, last checked 6 November 2026.

### What is Ripple-65B Preview's context window?

Ripple-65B Preview takes up to 131,072 tokens in one request.

### Is Ripple-65B Preview open weight?

It's listed as open weight, but it's still in preview: check Ricursive Intelligence's announcement for when the weights and licence are published.

### Can I run Ripple-65B Preview locally?

Ripple-65B Preview's weights are 130 GB in BF16, so it needs about 156 GB of GPU memory: a server with several data-centre GPUs (eight 80 GB GPUs hold 640 GB). Ricursive Intelligence also publishes a NVFP4 version that needs about 69 GB.

### Where can I use Ripple-65B Preview?

Ripple-65B Preview is available from Together AI. At Together AI, call it as `ricursive-ai/Ripple-65B-Preview`.