Grok 4.7 vs LongCat-Flash-Thinking
Grok 4.7 leads the LLM Stats Score 48.5 to 28.6. LongCat-Flash-Thinking is 5.7x cheaper per token.
xAI · Meituan · Updated for 2026
Which is better?
Grok 4.7 leads the overall LLM Stats Score 48.5 to 28.6, ranking #23 overall.
On price, LongCat-Flash-Thinking is roughly 5.7x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Grok 4.7 also accepts a larger context window (500,000 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 4.7
- overall performance matters — it scores 48.5 and ranks #23 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you process long inputs — it offers a 500,000 token context window
- you want the most recent training data — it shipped Sep 2026
Choose LongCat-Flash-Thinking
- cost matters — it's about 5.7x cheaper per token
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Individual benchmarks
23 reported for Grok 4.7 · 14 for LongCat-Flash-Thinking
Grok 4.7 and LongCat-Flash-Thinkingdon'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, Grok 4.7 ($2.00/1M tokens) is 6.7x more expensive than LongCat-Flash-Thinking ($0.30/1M tokens).
For output processing, Grok 4.7 ($6.00/1M tokens) is 5.0x more expensive than LongCat-Flash-Thinking ($1.20/1M tokens).
In conclusion, Grok 4.7 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 4.7 accepts 500,000 input tokens compared to LongCat-Flash-Thinking's 128,000 tokens. Only LongCat-Flash-Thinking specifies output context (128,000 tokens).
Input capabilities
Documented input modalities across available providers
Grok 4.7 supports multimodal inputs, whereas LongCat-Flash-Thinking does not.
Grok 4.7 can handle both text and other forms of data like images, making it suitable for multimodal applications.
Grok 4.7
LongCat-Flash-Thinking
License
Usage and distribution terms
Grok 4.7 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 4.7 was released on 2026-09-21, while LongCat-Flash-Thinking was released on 2025-09-22.
Grok 4.7 is 12 months newer than LongCat-Flash-Thinking.
Sep 21, 2026
0 days ago
12mo newerSep 22, 2025
12 months ago
Knowledge Cutoff
When training data ends
Grok 4.7 has a documented knowledge cutoff of 2026-06-01, while LongCat-Flash-Thinking's cutoff date is not specified.
We can confirm Grok 4.7's training data extends to 2026-06-01, but cannot make a direct comparison without LongCat-Flash-Thinking's cutoff date.
Jun 2026
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Provider Availability
Grok 4.7 is available from xAI. LongCat-Flash-Thinking is available from Meituan.
Grok 4.7
LongCat-Flash-Thinking
Outputs Comparison
Judge for yourself.
Run your own prompts against Grok 4.7 and LongCat-Flash-Thinking side-by-side, then vote on the output you prefer.
FAQ
Common questions about Grok 4.7 vs LongCat-Flash-Thinking.