GPT-5.4 vs LongCat-Flash-Thinking-2601
GPT-5.4 leads the LLM Stats Score 42.1 to 35.3. LongCat-Flash-Thinking-2601 is 10.7x cheaper per token.
OpenAI · Meituan · Updated for 2026
Which is better?
GPT-5.4 leads the overall LLM Stats Score 42.1 to 35.3, ranking #48 overall.
In the 4 individual benchmarks reported for both models, GPT-5.4 wins 3; this is a narrower head-to-head signal than the composite indexes.
On price, LongCat-Flash-Thinking-2601 is roughly 10.7x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-5.4 also accepts a larger context window (1,000,000 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
- overall performance matters — it scores 42.1 and ranks #48 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you value its reported benchmark strengths — it wins 3 of 4 exact shared results
- you process long inputs — it offers a 1,000,000 token context window
- you want the most recent training data — it shipped Mar 2026
Choose LongCat-Flash-Thinking-2601
- cost matters — it's about 10.7x 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
23 reported for GPT-5.4 · 11 for LongCat-Flash-Thinking-2601
GPT-5.4 outperforms in 3 benchmarks (BrowseComp, GPQA, Humanity's Last Exam), while LongCat-Flash-Thinking-2601 is better at 1 benchmark (Tau2 Telecom).
GPT-5.4 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 ($2.50/1M tokens) is 8.3x more expensive than LongCat-Flash-Thinking-2601 ($0.30/1M tokens).
For output processing, GPT-5.4 ($15.00/1M tokens) is 12.5x more expensive than LongCat-Flash-Thinking-2601 ($1.20/1M tokens).
In conclusion, GPT-5.4 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 accepts 1,000,000 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 supports multimodal inputs, whereas LongCat-Flash-Thinking-2601 does not.
GPT-5.4 can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-5.4
LongCat-Flash-Thinking-2601
License
Usage and distribution terms
GPT-5.4 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 was released on 2026-03-05, while LongCat-Flash-Thinking-2601 was released on 2026-01-14.
GPT-5.4 is 2 months newer than LongCat-Flash-Thinking-2601.
Mar 5, 2026
6 months ago
1mo newerJan 14, 2026
8 months ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
GPT-5.4 is available from OpenAI. LongCat-Flash-Thinking-2601 is available from Meituan.
GPT-5.4
LongCat-Flash-Thinking-2601
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-5.4 and LongCat-Flash-Thinking-2601 side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-5.4 vs LongCat-Flash-Thinking-2601.