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Kimi-k1.5 vs LongCat-2.5

LongCat-2.5 leads the LLM Stats Score 50.0 to 16.6.

Moonshot AI · Meituan · Updated for 2026

Which is better?

LongCat-2.5 leads the overall LLM Stats Score 50.0 to 16.6, ranking #20 overall.

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

Choose Kimi-k1.5

  • you are already invested in the Moonshot AI ecosystem

Choose LongCat-2.5

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

At a glance

The differences that matter most.

Kimi-k1.5
Moonshot AI
LongCat-2.5
Meituan
Core performance indexes
LLM Stats Score
16.6
#257
50.0
#20
Reasoning
15.9
#255
48.3
#21
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
Kimi-k1.5
LongCat-2.5
Math
20.1#177
37.2#37
Vision
10.7#140
32.5#29
Multimodal
14.3#115
34.8#15
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

9 reported for Kimi-k1.5 · 23 for LongCat-2.5

No common benchmarks found

Kimi-k1.5 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).

Moonshot AI
Kimi-k1.5
Input- tokens
Output- tokens
Meituan
LongCat-2.5
Input1,048,576 tokens
Output131,072 tokens
Mon Nov 02 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Kimi-k1.5 and LongCat-2.5 support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Kimi-k1.5

Text
Images
Audio
Video

LongCat-2.5

Text
Images
Audio
Video

Release Timeline

When each model was launched

Kimi-k1.5 was released on 2025-01-20, while LongCat-2.5 was released on 2026-11-01.

LongCat-2.5 is 22 months newer than Kimi-k1.5.

Kimi-k1.5

Jan 20, 2025

1.8 years ago

LongCat-2.5

Nov 1, 2026

0 days ago

1.8yr 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 Kimi-k1.5 and LongCat-2.5 side-by-side, then vote on the output you prefer.

Kimi-k1.5
✓ Preferred
LongCat-2.5
Open in Playground

FAQ

Common questions about Kimi-k1.5 vs LongCat-2.5.

Which is better, Kimi-k1.5 or LongCat-2.5?

LongCat-2.5 leads the LLM Stats Score 50.0 to 16.6. Kimi-k1.5 is made by Moonshot AI 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 Kimi-k1.5 compare to LongCat-2.5 in benchmarks?

Kimi-k1.5 scores MATH-500: 96.2%, CLUEWSC: 91.4%, C-Eval: 88.3%, MMLU: 87.4%, IFEval: 87.2%. 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 Kimi-k1.5 and LongCat-2.5?

Kimi-k1.5 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 Kimi-k1.5 and LongCat-2.5?

Key differences include LLM Stats Score (16.6 vs 50.0), licensing (Proprietary vs Unknown). See the full comparison above for benchmark-by-benchmark results.

Who makes Kimi-k1.5 and LongCat-2.5?

Kimi-k1.5 is developed by Moonshot AI and LongCat-2.5 is developed by Meituan.

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