Last refreshed 2026-11-05. Next refresh: weekly.
Why use Ripple-65B Preview on Together AI?
Together AI offers Ripple-65B Preview with pay-as-you-go pricing at $0.20/1M input tokens. Together AI is a platform for running open-source and proprietary LLMs with fast serverless and dedicated endpoints at competitive inference pricing.
Compare Ripple-65B Preview across 2 providers to find the best fit for your use caseInput / 1M
$0.20
Output / 1M
$0.60
Cache
read $0.020
Batch
Not sourced
Setup recipe
Python + curlInstall
pip install togetherAuth
export TOGETHER_API_KEY=...Call
from together import Together
client = Together() # reads TOGETHER_API_KEY from env
response = client.chat.completions.create(
model="ricursive-ai/Ripple-65B-Preview",Model ID
ricursive-ai/Ripple-65B-PreviewRequest example
from together import Together
client = Together() # reads TOGETHER_API_KEY from env
response = client.chat.completions.create(
model="ricursive-ai/Ripple-65B-Preview",
messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)Gotchas
- Use provider model ID "ricursive-ai/Ripple-65B-Preview", not the LLMReference slug "ripple-65b-preview".
- Together uses "organization/model-name" format, e.g. "meta-llama/Llama-4-Scout-17B-16E-Instruct" or "Qwen/QwQ-32B". See the Together model catalog for the exact ID.
- The examples expect TOGETHER_API_KEY; rename it only if your application config maps the new variable.
Compare Ripple-65B Preview Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| Together AI | $0.20 | $0.60 |
| OpenRouter | $0.20 | $0.60 |
Pricing
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.20 |
| Output tokens | $0.60 |
Capabilities
JSON / Tool use
About Ripple-65B Preview
Ripple-65B Preview is Ricursive Intelligence's open-weight 65B-parameter dense Transformer, released November 4, 2026 under Apache 2.0. It is a general-purpose variant of the in-house model behind Ricursive's AI chip design platform, pretrained on 12 trillion tokens with support for up to 1M tokens of context. Weights are on Hugging Face.
Get Started
Model Specs
Released2026-11-04
Parameters65B
Context1M
ArchitectureDecoder Only