GPT-5.4 mini vs LongCat-Flash-Thinking-2601
LongCat-Flash-Thinking-2601 leads the LLM Stats Score 35.3 to 30.1. LongCat-Flash-Thinking-2601 is 3.2x cheaper per token.
OpenAI · Meituan · Updated for 2026
Which is better?
LongCat-Flash-Thinking-2601 leads the overall LLM Stats Score 35.3 to 30.1, ranking #86 overall.
In the 3 individual benchmarks reported for both models, GPT-5.4 mini wins 2; this is a narrower head-to-head signal than the composite indexes.
On price, LongCat-Flash-Thinking-2601 is roughly 3.2x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-5.4 mini also accepts a larger context window (400,000 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-5.4 mini
- you value its reported benchmark strengths — it wins 2 of 3 exact shared results
- you process long inputs — it offers a 400,000 token context window
- you want the most recent training data — it shipped Mar 2026
Choose LongCat-Flash-Thinking-2601
- overall performance matters — it scores 35.3 and ranks #86 on LLM Stats
- cost matters — it's about 3.2x cheaper per token
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
15 reported for GPT-5.4 mini · 11 for LongCat-Flash-Thinking-2601
GPT-5.4 mini outperforms in 2 benchmarks (GPQA, Humanity's Last Exam), while LongCat-Flash-Thinking-2601 is better at 1 benchmark (Tau2 Telecom).
GPT-5.4 mini shows notably better performance in the majority of benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, GPT-5.4 mini ($0.75/1M tokens) is 2.5x more expensive than LongCat-Flash-Thinking-2601 ($0.30/1M tokens).
For output processing, GPT-5.4 mini ($4.50/1M tokens) is 3.8x more expensive than LongCat-Flash-Thinking-2601 ($1.20/1M tokens).
In conclusion, GPT-5.4 mini is more expensive than LongCat-Flash-Thinking-2601.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GPT-5.4 mini accepts 400,000 input tokens compared to LongCat-Flash-Thinking-2601's 128,000 tokens. Both models can generate responses up to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
GPT-5.4 mini supports multimodal inputs, whereas LongCat-Flash-Thinking-2601 does not.
GPT-5.4 mini can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-5.4 mini
LongCat-Flash-Thinking-2601
License
Usage and distribution terms
GPT-5.4 mini is licensed under a proprietary license, while LongCat-Flash-Thinking-2601 uses MIT.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
MIT
Open weights
Release Timeline
When each model was launched
GPT-5.4 mini was released on 2026-03-17, while LongCat-Flash-Thinking-2601 was released on 2026-01-14.
GPT-5.4 mini is 2 months newer than LongCat-Flash-Thinking-2601.
Mar 17, 2026
6 months ago
2mo newerJan 14, 2026
8 months ago
Knowledge Cutoff
When training data ends
GPT-5.4 mini has a documented knowledge cutoff of 2025-08-31, while LongCat-Flash-Thinking-2601's cutoff date is not specified.
We can confirm GPT-5.4 mini's training data extends to 2025-08-31, but cannot make a direct comparison without LongCat-Flash-Thinking-2601's cutoff date.
Aug 2025
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Provider Availability
GPT-5.4 mini is available from OpenAI. LongCat-Flash-Thinking-2601 is available from Meituan.
GPT-5.4 mini
LongCat-Flash-Thinking-2601
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-5.4 mini and LongCat-Flash-Thinking-2601 side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-5.4 mini vs LongCat-Flash-Thinking-2601.