GPT-5.1 High vs LongCat-Flash-Thinking-2601
GPT-5.1 High and LongCat-Flash-Thinking-2601 are closely matched at 35.2 and 35.4 on the LLM Stats Score. LongCat-Flash-Thinking-2601 is 6.5x cheaper per token.
OpenAI · Meituan · Updated for 2026
Which is better?
GPT-5.1 High and LongCat-Flash-Thinking-2601 are closely matched on the overall LLM Stats Score at 35.2 and 35.4.
The models split the 2 individual benchmarks reported for both models evenly.
On price, LongCat-Flash-Thinking-2601 is roughly 6.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-5.1 High 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-5.1 High
- you process long inputs — it offers a 400,000 token context window
Choose LongCat-Flash-Thinking-2601
- cost matters — it's about 6.5x cheaper per token
- you want the most recent training data — it shipped Jan 2026
- 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
3 reported for GPT-5.1 High · 11 for LongCat-Flash-Thinking-2601
GPT-5.1 High outperforms in 1 benchmarks (GPQA), while LongCat-Flash-Thinking-2601 is better at 0 benchmarks.
GPT-5.1 High has a slight edge in benchmark performance.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, GPT-5.1 High ($1.25/1M tokens) is 4.2x more expensive than LongCat-Flash-Thinking-2601 ($0.30/1M tokens).
For output processing, GPT-5.1 High ($10.00/1M tokens) is 8.3x more expensive than LongCat-Flash-Thinking-2601 ($1.20/1M tokens).
In conclusion, GPT-5.1 High 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-5.1 High 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-5.1 High supports multimodal inputs, whereas LongCat-Flash-Thinking-2601 does not.
GPT-5.1 High can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-5.1 High
LongCat-Flash-Thinking-2601
License
Usage and distribution terms
GPT-5.1 High 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-5.1 High was released on 2025-11-12, while LongCat-Flash-Thinking-2601 was released on 2026-01-14.
LongCat-Flash-Thinking-2601 is 2 months newer than GPT-5.1 High.
Nov 12, 2025
11 months ago
Jan 14, 2026
8 months ago
2mo 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-5.1 High is available from OpenAI. LongCat-Flash-Thinking-2601 is available from Meituan.
GPT-5.1 High
LongCat-Flash-Thinking-2601
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-5.1 High and LongCat-Flash-Thinking-2601 side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-5.1 High vs LongCat-Flash-Thinking-2601.