GPT-5.2 Pro vs LongCat-2.5
LongCat-2.5 leads the LLM Stats Score 50.0 to 42.7. LongCat-2.5 is 110.0x cheaper per token.
OpenAI · Meituan · Updated for 2026
Which is better?
LongCat-2.5 leads the overall LLM Stats Score 50.0 to 42.7, ranking #20 overall.
In the 1 individual benchmarks reported for both models, LongCat-2.5 wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, LongCat-2.5 is roughly 110.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
LongCat-2.5 also accepts a larger context window (1,048,576 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-5.2 Pro
- you want predictable pricing at $21.00/M input and $168.00/M output
Choose LongCat-2.5
- overall performance matters — it scores 50.0 and ranks #20 on LLM Stats
- your work emphasizes agents — it leads those capability indexes
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- cost matters — it's about 110.0x cheaper per token
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Nov 2026
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
7 reported for GPT-5.2 Pro · 23 for LongCat-2.5
GPT-5.2 Pro outperforms in 0 benchmarks, while LongCat-2.5 is better at 1 benchmark (BrowseComp).
LongCat-2.5 significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, GPT-5.2 Pro ($21.00/1M tokens) is 70.0x more expensive than LongCat-2.5 ($0.30/1M tokens).
For output processing, GPT-5.2 Pro ($168.00/1M tokens) is 140.0x more expensive than LongCat-2.5 ($1.20/1M tokens).
In conclusion, GPT-5.2 Pro is more expensive than LongCat-2.5.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
LongCat-2.5 accepts 1,048,576 input tokens compared to GPT-5.2 Pro's 400,000 tokens. LongCat-2.5 can generate longer responses up to 131,072 tokens, while GPT-5.2 Pro is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Both GPT-5.2 Pro and LongCat-2.5 support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GPT-5.2 Pro
LongCat-2.5
Release Timeline
When each model was launched
GPT-5.2 Pro was released on 2025-12-11, while LongCat-2.5 was released on 2026-11-01.
LongCat-2.5 is 11 months newer than GPT-5.2 Pro.
Dec 11, 2025
10 months ago
Nov 1, 2026
4 days ago
10mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
GPT-5.2 Pro is available from OpenAI. LongCat-2.5 is available from Meituan.
GPT-5.2 Pro
LongCat-2.5
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-5.2 Pro and LongCat-2.5 side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-5.2 Pro vs LongCat-2.5.