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GPT-6 Luna vs LongCat-2.5

GPT-6 Luna and LongCat-2.5 are closely matched at 43.1 and 50.0 on the LLM Stats Score. GPT-6 Luna is 2.6x cheaper per token.

OpenAI · Meituan · Updated for 2026

Which is better?

GPT-6 Luna and LongCat-2.5 are closely matched on the overall LLM Stats Score at 43.1 and 50.0.

The models split the 2 individual benchmarks reported for both models evenly.

On price, GPT-6 Luna is roughly 2.6x 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

  • cost matters — it's about 2.6x cheaper per token
  • you process long inputs — it offers a 1,050,000 token context window

Choose LongCat-2.5

  • you want the most recent training data — it shipped Nov 2026

At a glance

The differences that matter most.

GPT-6 Luna
OpenAI
LongCat-2.5
Meituan
Core performance indexes
LLM Stats Score
43.1
#60
50.0
#20
Reasoning
39.2
#79
48.3
#21
Coding
29.7
#72
38.6
#27
Agents
30.4
#50
36.3
#23
Cost, coverage & limits
Benchmark wins
1 of 2
1 of 2
Input price
$0.10 / M
$0.30 / M
Output price
$0.50 / M
$1.20 / M
Context window
1,050,000
1,048,576

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
GPT-6 Luna
LongCat-2.5
Tool use
22.5#60
30.2#15
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

5 reported for GPT-6 Luna · 23 for LongCat-2.5

2 shared

GPT-6 Luna outperforms in 1 benchmarks (DeepSWE 1.1), while LongCat-2.5 is better at 1 benchmark (AutomationBench v1.0.6).

Both models are evenly matched across the benchmarks.

Sat Nov 07 2026 • llm-stats.com

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 3.0x cheaper than LongCat-2.5 ($0.30/1M tokens).

For output processing, GPT-6 Luna ($0.50/1M tokens) is 2.4x cheaper than LongCat-2.5 ($1.20/1M tokens).

In conclusion, LongCat-2.5 is more expensive than GPT-6 Luna.*

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

Lowest available price from all providers
Sat Nov 07 2026 • llm-stats.com
OpenAI
GPT-6 Luna
Input tokens$0.10
Output tokens$0.50
Best providerOpenAI
Meituan
LongCat-2.5
Input tokens$0.30
Output tokens$1.20
Best providerMeituan
Notice missing or incorrect data?

Context Window

Maximum input and output token capacity

GPT-6 Luna accepts 1,050,000 input tokens compared to LongCat-2.5's 1,048,576 tokens. LongCat-2.5 can generate longer responses up to 131,072 tokens, while GPT-6 Luna is limited to 128,000 tokens.

OpenAI
GPT-6 Luna
Input1,050,000 tokens
Output128,000 tokens
Meituan
LongCat-2.5
Input1,048,576 tokens
Output131,072 tokens
Sat Nov 07 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both GPT-6 Luna and LongCat-2.5 support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

GPT-6 Luna

Text
Images
Audio
Video

LongCat-2.5

Text
Images
Audio
Video

Release Timeline

When each model was launched

GPT-6 Luna was released on 2026-09-22, while LongCat-2.5 was released on 2026-11-01.

LongCat-2.5 is 1 month newer than GPT-6 Luna.

GPT-6 Luna

Sep 22, 2026

1 months ago

LongCat-2.5

Nov 1, 2026

5 days ago

1mo newer

Knowledge Cutoff

When training data ends

GPT-6 Luna has a documented knowledge cutoff of 2026-05-18, while LongCat-2.5'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 LongCat-2.5's cutoff date.

GPT-6 Luna

May 2026

LongCat-2.5

—

Provider Availability

GPT-6 Luna is available from OpenAI. LongCat-2.5 is available from Meituan.

GPT-6 Luna

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

LongCat-2.5

meituan logo
Meituan
Input Price:Input: $0.30/1MOutput Price:Output: $1.20/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against GPT-6 Luna and LongCat-2.5 side-by-side, then vote on the output you prefer.

GPT-6 Luna
✓ Preferred
LongCat-2.5
Open in Playground

FAQ

Common questions about GPT-6 Luna vs LongCat-2.5.

Which is better, GPT-6 Luna or LongCat-2.5?

GPT-6 Luna and LongCat-2.5 are closely matched on the LLM Stats Score at 43.1 and 50.0. GPT-6 Luna is made by OpenAI and LongCat-2.5 is made by Meituan. 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 LongCat-2.5 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%. LongCat-2.5 scores MathVision: 96.5%, BrowseComp: 91.9%, CharXiv-R: 90.2%, Terminal-Bench 2.1: 88.4%, Video-MME: 85.2%.

Is GPT-6 Luna cheaper than LongCat-2.5?

GPT-6 Luna is 3.0x cheaper for input tokens. GPT-6 Luna costs $0.10/M input and $0.50/M output via openai. LongCat-2.5 costs $0.30/M input and $1.20/M output via meituan.

What are the context window sizes for GPT-6 Luna and LongCat-2.5?

GPT-6 Luna supports 1.1M tokens and LongCat-2.5 supports 1.0M 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 LongCat-2.5?

Key differences include LLM Stats Score (43.1 vs 50.0), context window (1.1M vs 1.0M), input pricing ($0.10 vs $0.30/M), licensing (Proprietary vs Unknown). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-6 Luna and LongCat-2.5?

GPT-6 Luna is developed by OpenAI and LongCat-2.5 is developed by Meituan.

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