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GPT-6 Luna vs o1-mini

GPT-6 Luna leads the LLM Stats Score 44.5 to 10.0. GPT-6 Luna is 26.3x cheaper per token.

OpenAI · OpenAI · Updated for 2026

Which is better?

GPT-6 Luna leads the overall LLM Stats Score 44.5 to 10.0, ranking #41 overall.

On price, GPT-6 Luna is roughly 26.3x 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 26.3x 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-mini

  • you want predictable pricing at $3.00/M input and $12.00/M output

At a glance

The differences that matter most.

GPT-6 Luna
OpenAI
o1-mini
OpenAI
Core performance indexes
LLM Stats Score
44.5
#41
10.0
#272
Reasoning
40.0
#58
10.3
#266
Coding
31.4
#47
14.4
#140
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.10 / M
$3.00 / M
Output price
$0.50 / M
$12.00 / M
Context window
1,050,000
128,000

Individual benchmarks

5 reported for GPT-6 Luna · 6 for o1-mini

No common benchmarks found

GPT-6 Luna and o1-minidon'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

GPT-6 Luna costs less

For input processing, GPT-6 Luna ($0.10/1M tokens) is 30.0x cheaper than o1-mini ($3.00/1M tokens).

For output processing, GPT-6 Luna ($0.50/1M tokens) is 24.0x cheaper than o1-mini ($12.00/1M tokens).

In conclusion, o1-mini is more expensive than GPT-6 Luna.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Tue Sep 22 2026 • llm-stats.com
OpenAI
GPT-6 Luna
Input tokens$0.10
Output tokens$0.50
Best providerOpenAI
OpenAI
o1-mini
Input tokens$3.00
Output tokens$12.00
Best providerOpenAI
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

GPT-6 Luna accepts 1,050,000 input tokens compared to o1-mini's 128,000 tokens. GPT-6 Luna can generate longer responses up to 128,000 tokens, while o1-mini is limited to 65,536 tokens.

OpenAI
GPT-6 Luna
Input1,050,000 tokens
Output128,000 tokens
OpenAI
o1-mini
Input128,000 tokens
Output65,536 tokens
Tue Sep 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

GPT-6 Luna supports multimodal inputs, whereas o1-mini 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

Text
Images
Audio
Video

o1-mini

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under proprietary licenses.

Both models have usage restrictions defined by their respective organizations.

GPT-6 Luna

Proprietary

Closed source

o1-mini

Proprietary

Closed source

Release Timeline

When each model was launched

GPT-6 Luna was released on 2026-09-22, while o1-mini was released on 2024-09-12.

GPT-6 Luna is 25 months newer than o1-mini.

GPT-6 Luna

Sep 22, 2026

0 days ago

2.0yr newer
o1-mini

Sep 12, 2024

2.0 years ago

Knowledge Cutoff

When training data ends

GPT-6 Luna has a documented knowledge cutoff of 2026-05-18, while o1-mini'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-mini's cutoff date.

GPT-6 Luna

May 2026

o1-mini

—

Provider Availability

GPT-6 Luna is available from OpenAI. o1-mini is available from OpenAI, Azure.

GPT-6 Luna

openai logo
OpenAI
Input Price:Input: $0.10/1MOutput Price:Output: $0.50/1M

o1-mini

openai logo
OpenAI
Input Price:Input: $3.00/1MOutput Price:Output: $12.00/1M
azure logo
Azure
Input Price:Input: $3.30/1MOutput Price:Output: $13.20/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against GPT-6 Luna and o1-mini side-by-side, then vote on the output you prefer.

GPT-6 Luna
✓ Preferred
o1-mini
Open in Playground

FAQ

Common questions about GPT-6 Luna vs o1-mini.

Which is better, GPT-6 Luna or o1-mini?

GPT-6 Luna leads the LLM Stats Score 44.5 to 10.0. GPT-6 Luna is made by OpenAI and o1-mini is made by OpenAI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does GPT-6 Luna compare to o1-mini in benchmarks?

GPT-6 Luna scores DeepSWE 1.1: 66.6%, OSWorld 2.0: 52.7%, Agents' Last Exam: 50.9%, FrontierCode 1.1: 42.4%, AutomationBench v1.0.6: 20.7%. o1-mini scores HumanEval: 92.4%, MATH-500: 90.0%, MMLU: 85.2%, SuperGLUE: 75.0%, GPQA: 60.0%.

Is GPT-6 Luna cheaper than o1-mini?

GPT-6 Luna is 30.0x cheaper for input tokens. GPT-6 Luna costs $0.10/M input and $0.50/M output via openai. o1-mini costs $3.00/M input and $12.00/M output via openai.

What are the context window sizes for GPT-6 Luna and o1-mini?

GPT-6 Luna supports 1.1M tokens and o1-mini supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between GPT-6 Luna and o1-mini?

Key differences include LLM Stats Score (44.5 vs 10.0), context window (1.1M vs 128K), input pricing ($0.10 vs $3.00/M), multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.

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