GPT-4 Turbo vs LongCat-2.5
LongCat-2.5 leads the LLM Stats Score 50.0 to 8.7. LongCat-2.5 is 28.6x cheaper per token.
OpenAI · Meituan · Updated for 2026
Which is better?
LongCat-2.5 leads the overall LLM Stats Score 50.0 to 8.7, ranking #20 overall.
On price, LongCat-2.5 is roughly 28.6x 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-4 Turbo
- you want predictable pricing at $10.00/M input and $30.00/M output
Choose LongCat-2.5
- overall performance matters — it scores 50.0 and ranks #20 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- cost matters — it's about 28.6x 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
6 reported for GPT-4 Turbo · 23 for LongCat-2.5
GPT-4 Turbo and LongCat-2.5don'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-4 Turbo ($10.00/1M tokens) is 33.3x more expensive than LongCat-2.5 ($0.30/1M tokens).
For output processing, GPT-4 Turbo ($30.00/1M tokens) is 25.0x more expensive than LongCat-2.5 ($1.20/1M tokens).
In conclusion, GPT-4 Turbo 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-4 Turbo's 128,000 tokens. LongCat-2.5 can generate longer responses up to 131,072 tokens, while GPT-4 Turbo is limited to 4,096 tokens.
Input capabilities
Documented input modalities across available providers
LongCat-2.5 supports multimodal inputs, whereas GPT-4 Turbo does not.
LongCat-2.5 can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-4 Turbo
LongCat-2.5
Release Timeline
When each model was launched
GPT-4 Turbo was released on 2024-04-09, while LongCat-2.5 was released on 2026-11-01.
LongCat-2.5 is 31 months newer than GPT-4 Turbo.
Apr 9, 2024
2.6 years ago
Nov 1, 2026
-1 days ago
2.6yr newerKnowledge Cutoff
When training data ends
GPT-4 Turbo has a documented knowledge cutoff of 2023-12-31, while LongCat-2.5's cutoff date is not specified.
We can confirm GPT-4 Turbo's training data extends to 2023-12-31, but cannot make a direct comparison without LongCat-2.5's cutoff date.
Dec 2023
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Provider Availability
GPT-4 Turbo is available from Azure, OpenAI. LongCat-2.5 is available from Meituan.
GPT-4 Turbo
LongCat-2.5
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-4 Turbo and LongCat-2.5 side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-4 Turbo vs LongCat-2.5.