GPT-5.6 Luna vs GPT-6 Luna

As of November 12, 2026, GPT-5.6 Luna costs 100% more per input token than GPT-6 Luna ($0.20 vs $0.10 per 1M), and both have a 922K-token context window.

Prices from LiteLLM's price fileChecked November 12, 2026

GPT-5.6 Luna vs GPT-6 Luna 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 Luna	GPT-6 Luna
Input, per 1M tokens	$0.20	$0.10
Output, per 1M tokens	$1.20	$0.50
Cache read, per 1M tokens	$0.02	$0.01
Cache write, per 1M tokens	$0.25	$0.125
Context window	922,000 tokens	922,000 tokens
Max output	128,000 tokens	128,000 tokens
Image input	Yes	Yes
Tool calling	Yes	Yes
Structured output (JSON)	Yes	Yes
Prompt caching	Yes	Yes
Reasoning	Yes	Yes
Providers on LiteLLM	14	13
Price shown is from	OpenAI	OpenAI
Added to LiteLLM	July 9, 2026	September 22, 2026

Cheapest provider for each

GPT-5.6 Luna: Databricks at $0.20 input and $1.20 output per 1M tokens (databricks/databricks-gpt-5-6-luna)
GPT-6 Luna: OpenAI at $0.10 input and $0.50 output per 1M tokens (gpt-6-luna)

Benchmark scores

From the Epoch AI Benchmarking Hub (CC BY 4.0), data as of September 22, 2026. Some results were run by Epoch and others collected by Epoch from each benchmark's own leaderboard, linked in the first column. Each model's best reported reasoning setting is shown in brackets. Higher is better. Only benchmarks with a score for both models are shown.
Benchmark	GPT-5.6 Luna	GPT-6 Luna
Overall
Epoch Capabilities Index	156.7	156.4
Coding and agents
FrontierCode	39.8%	42.4% (max)
APEX-Agents	43.0%	44.3% (max)
Reasoning and knowledge
GPQA Diamond	91.6% (max)	90.5% (max)
ARC-AGI-2	59.5% (max)	59.3% (max)
SimpleQA Verified	41.0% (max)	41.4% (max)
Math
FrontierMath (tiers 1-3)	82.1% (max)	78.9% (max)
FrontierMath (tier 4)	61.0% (max)	56.1% (max)
OTIS Mock AIME 2024-2025	98.3% (max)	98.9% (max)

When to pick which

Pick GPT-6 Luna for

Costs 50% less per input token: $0.10 vs $0.20 per 1M.

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

Call GPT-5.6 Luna or GPT-6 Luna 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)

# GPT-6 Luna
response = completion(model="gpt-6-luna", messages=messages)

# GPT-5.6 Luna, falling back to GPT-6 Luna if the call fails
response = completion(model="gpt-5.6-luna", messages=messages, fallbacks=["gpt-6-luna"])

FAQ

Which is cheaper, GPT-5.6 Luna or GPT-6 Luna?

GPT-6 Luna is cheaper at 3 input tokens per output token: $0.20 per 1M tokens blended ($0.10 input, $0.50 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 GPT-6 Luna?

Both have a 922,000-token context window.

Can I switch from GPT-5.6 Luna to GPT-6 Luna 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 "gpt-6-luna", or pointing a LiteLLM gateway model alias at the other model. You can also use one as a fallback for the other.