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Grok-1.5 vs LongCat-2.5

LongCat-2.5 leads the LLM Stats Score 50.0 to -3.1.

xAI · Meituan · Updated for 2026

Which is better?

LongCat-2.5 leads the overall LLM Stats Score 50.0 to -3.1, ranking #20 overall.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Grok-1.5

  • you are already invested in the xAI ecosystem

Choose LongCat-2.5

  • overall performance matters — it scores 50.0 and ranks #20 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you want the most recent training data — it shipped Nov 2026

At a glance

The differences that matter most.

Grok-1.5
xAI
LongCat-2.5
Meituan
Core performance indexes
LLM Stats Score
-3.1
#381
50.0
#20
Reasoning
-2.7
#372
48.3
#21
Coding
-1.0
#281
38.6
#27
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
$0.30 / M
Output price
— / M
$1.20 / M
Context window
—
1,048,576

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
Grok-1.5
LongCat-2.5
Math
4.8#299
37.2#37
Vision
-5.4#233
32.5#29
Multimodal
-2.8#185
34.8#15
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

9 reported for Grok-1.5 · 23 for LongCat-2.5

No common benchmarks found

Grok-1.5 and LongCat-2.5don'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

Context Window

Maximum input and output token capacity

Only LongCat-2.5 specifies input context (1,048,576 tokens). Only LongCat-2.5 specifies output context (131,072 tokens).

xAI
Grok-1.5
Input- tokens
Output- tokens
Meituan
LongCat-2.5
Input1,048,576 tokens
Output131,072 tokens
Tue Nov 03 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

LongCat-2.5 supports multimodal inputs, whereas Grok-1.5 does not.

LongCat-2.5 can handle both text and other forms of data like images, making it suitable for multimodal applications.

Grok-1.5

Text
Images
Audio
Video

LongCat-2.5

Text
Images
Audio
Video

Release Timeline

When each model was launched

Grok-1.5 was released on 2024-03-28, while LongCat-2.5 was released on 2026-11-01.

LongCat-2.5 is 32 months newer than Grok-1.5.

Grok-1.5

Mar 28, 2024

2.6 years ago

LongCat-2.5

Nov 1, 2026

-1 days ago

2.6yr newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Grok-1.5 and LongCat-2.5 side-by-side, then vote on the output you prefer.

Grok-1.5
✓ Preferred
LongCat-2.5
Open in Playground

FAQ

Common questions about Grok-1.5 vs LongCat-2.5.

Which is better, Grok-1.5 or LongCat-2.5?

LongCat-2.5 leads the LLM Stats Score 50.0 to -3.1. Grok-1.5 is made by xAI and LongCat-2.5 is made by Meituan. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Grok-1.5 compare to LongCat-2.5 in benchmarks?

Grok-1.5 scores GSM8k: 90.0%, DocVQA: 85.6%, MMLU: 81.3%, HumanEval: 74.1%, MMMU: 53.6%. LongCat-2.5 scores MathVision: 96.5%, BrowseComp: 91.9%, CharXiv-R: 90.2%, Terminal-Bench 2.1: 88.4%, Video-MME: 85.2%.

What are the context window sizes for Grok-1.5 and LongCat-2.5?

Grok-1.5 supports an unknown number of tokens and LongCat-2.5 supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Grok-1.5 and LongCat-2.5?

Key differences include LLM Stats Score (-3.1 vs 50.0), multimodal support (no vs yes), licensing (Proprietary vs Unknown). See the full comparison above for benchmark-by-benchmark results.

Who makes Grok-1.5 and LongCat-2.5?

Grok-1.5 is developed by xAI and LongCat-2.5 is developed by Meituan.

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