LiteLLMLiteLLM/ MODELS

GPT-5.6 Luna vs Ripple 65B Preview

As of November 12, 2026, GPT-5.6 Luna and Ripple 65B Preview cost the same per input token ($0.20 per 1M), but GPT-5.6 Luna costs 100% more per output token ($1.20 vs $0.60) and has a 922K-token context window versus 1M.

Prices from LiteLLM's price fileChecked

GPT-5.6 Luna vs Ripple 65B Preview side by side

Headline prices in US dollars per 1M tokens: each model's own lab where it sells it, otherwise its cheapest provider. Source: LiteLLM model price file, as of November 12, 2026.
GPT-5.6 LunaRipple 65B Preview
Input, per 1M tokens$0.20$0.20
Output, per 1M tokens$1.20$0.60
Cache read, per 1M tokens$0.02$0.05
Cache write, per 1M tokens$0.25–
Context window922,000 tokens1,000,000 tokens
Max output128,000 tokens131,072 tokens
Image inputYes–
Tool callingYes–
Structured output (JSON)Yes–
Prompt cachingYesYes
ReasoningYes–
Providers on LiteLLM142
Price shown is fromOpenAIGMI Cloud
Added to LiteLLMJuly 9, 2026November 5, 2026

Cheapest provider for each

When to pick which

Pick GPT-5.6 Luna for

  • Available from 14 providers through LiteLLM, vs 2.

Pick Ripple 65B Preview for

  • Costs 50% less per output token: $0.60 vs $1.20 per 1M.

From differences in the data above only; where the data is equal, no reason is given.

Call GPT-5.6 Luna or Ripple 65B Preview with LiteLLM

Both use the OpenAI format through LiteLLM, so switching is a model name change. Set each provider's API key in the environment first.

Python SDK
from litellm import completion

messages = [{"role": "user", "content": "Hello!"}]

# GPT-5.6 Luna
response = completion(model="gpt-5.6-luna", messages=messages)

# Ripple 65B Preview
response = completion(model="gmi/gmicloud/Ripple-65B-Preview", messages=messages)

# GPT-5.6 Luna, falling back to Ripple 65B Preview if the call fails
response = completion(model="gpt-5.6-luna", messages=messages, fallbacks=["gmi/gmicloud/Ripple-65B-Preview"])

FAQ

Which is cheaper, GPT-5.6 Luna or Ripple 65B Preview?

Ripple 65B Preview is cheaper at 3 input tokens per output token: $0.30 per 1M tokens blended ($0.20 input, $0.60 output), versus $0.45 ($0.20 and $1.20) for GPT-5.6 Luna, as of November 12, 2026.

Which has the larger context window, GPT-5.6 Luna or Ripple 65B Preview?

Ripple 65B Preview has the larger context window: 1,000,000 tokens, versus 922,000 for GPT-5.6 Luna.

Can I switch from GPT-5.6 Luna to Ripple 65B Preview without changing my code?

Yes. Through LiteLLM both use the OpenAI format, so switching means changing the model name from "gpt-5.6-luna" to "gmi/gmicloud/Ripple-65B-Preview", or pointing a LiteLLM gateway model alias at the other model. You can also use one as a fallback for the other.