GPT-6 Luna vs o1
GPT-6 Luna leads the LLM Stats Score 44.5 to 20.9. GPT-6 Luna is 131.3x cheaper per token.
OpenAI · OpenAI · Updated for 2026
Which is better?
GPT-6 Luna leads the overall LLM Stats Score 44.5 to 20.9, ranking #41 overall.
On price, GPT-6 Luna is roughly 131.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-6 Luna also accepts a larger context window (1,050,000 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose GPT-6 Luna
- overall performance matters — it scores 44.5 and ranks #41 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- cost matters — it's about 131.3x cheaper per token
- you process long inputs — it offers a 1,050,000 token context window
- you want the most recent training data — it shipped Sep 2026
Choose o1
- you want predictable pricing at $15.00/M input and $60.00/M output
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
5 reported for GPT-6 Luna · 19 for o1
GPT-6 Luna and o1don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, GPT-6 Luna ($0.10/1M tokens) is 150.0x cheaper than o1 ($15.00/1M tokens).
For output processing, GPT-6 Luna ($0.50/1M tokens) is 120.0x cheaper than o1 ($60.00/1M tokens).
In conclusion, o1 is more expensive than GPT-6 Luna.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GPT-6 Luna accepts 1,050,000 input tokens compared to o1's 200,000 tokens. GPT-6 Luna can generate longer responses up to 128,000 tokens, while o1 is limited to 100,000 tokens.
Input capabilities
Documented input modalities across available providers
GPT-6 Luna supports multimodal inputs, whereas o1 does not.
GPT-6 Luna can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-6 Luna
o1
License
Usage and distribution terms
Both models are licensed under proprietary licenses.
Both models have usage restrictions defined by their respective organizations.
Proprietary
Closed source
Proprietary
Closed source
Release Timeline
When each model was launched
GPT-6 Luna was released on 2026-09-22, while o1 was released on 2024-12-17.
GPT-6 Luna is 21 months newer than o1.
Sep 22, 2026
0 days ago
1.8yr newerDec 17, 2024
1.8 years ago
Knowledge Cutoff
When training data ends
GPT-6 Luna has a documented knowledge cutoff of 2026-05-18, while o1's cutoff date is not specified.
We can confirm GPT-6 Luna's training data extends to 2026-05-18, but cannot make a direct comparison without o1's cutoff date.
May 2026
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Provider Availability
GPT-6 Luna is available from OpenAI. o1 is available from Azure, OpenAI.
GPT-6 Luna
o1
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-6 Luna and o1 side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-6 Luna vs o1.