Grok-4 vs LongCat-Flash-Thinking
Grok-4 leads the LLM Stats Score 33.5 to 28.2. LongCat-Flash-Thinking is 11.4x cheaper per token.
xAI · Meituan · Updated for 2026
Which is better?
Grok-4 leads the overall LLM Stats Score 33.5 to 28.2, ranking #119 overall.
In the 3 individual benchmarks reported for both models, Grok-4 wins 2; this is a narrower head-to-head signal than the composite indexes.
On price, LongCat-Flash-Thinking is roughly 11.4x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Grok-4 also accepts a larger context window (256,000 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 Grok-4
- overall performance matters — it scores 33.5 and ranks #119 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 2 of 3 exact shared results
- you process long inputs — it offers a 256,000 token context window
Choose LongCat-Flash-Thinking
- cost matters — it's about 11.4x cheaper per token
- you want the most recent training data — it shipped Sep 2025
- 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
7 reported for Grok-4 · 14 for LongCat-Flash-Thinking
Grok-4 outperforms in 2 benchmarks (AIME 2025, GPQA), while LongCat-Flash-Thinking is better at 1 benchmark (LiveCodeBench).
Grok-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, Grok-4 ($3.00/1M tokens) is 10.0x more expensive than LongCat-Flash-Thinking ($0.30/1M tokens).
For output processing, Grok-4 ($15.00/1M tokens) is 12.5x more expensive than LongCat-Flash-Thinking ($1.20/1M tokens).
In conclusion, Grok-4 is more expensive than LongCat-Flash-Thinking.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Grok-4 accepts 256,000 input tokens compared to LongCat-Flash-Thinking's 128,000 tokens. LongCat-Flash-Thinking can generate longer responses up to 128,000 tokens, while Grok-4 is limited to 8,000 tokens.
Input capabilities
Documented input modalities across available providers
Grok-4 supports multimodal inputs, whereas LongCat-Flash-Thinking does not.
Grok-4 can handle both text and other forms of data like images, making it suitable for multimodal applications.
Grok-4
LongCat-Flash-Thinking
License
Usage and distribution terms
Grok-4 is licensed under a proprietary license, while LongCat-Flash-Thinking 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
Grok-4 was released on 2025-07-09, while LongCat-Flash-Thinking was released on 2025-09-22.
LongCat-Flash-Thinking is 3 months newer than Grok-4.
Jul 9, 2025
1.3 years ago
Sep 22, 2025
1.1 years ago
2mo newerKnowledge Cutoff
When training data ends
Grok-4 has a documented knowledge cutoff of 2024-12-31, while LongCat-Flash-Thinking's cutoff date is not specified.
We can confirm Grok-4's training data extends to 2024-12-31, but cannot make a direct comparison without LongCat-Flash-Thinking's cutoff date.
Dec 2024
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Provider Availability
Grok-4 is available from xAI. LongCat-Flash-Thinking is available from Meituan.
Grok-4
LongCat-Flash-Thinking
Outputs Comparison
Judge for yourself.
Run your own prompts against Grok-4 and LongCat-Flash-Thinking side-by-side, then vote on the output you prefer.
FAQ
Common questions about Grok-4 vs LongCat-Flash-Thinking.