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LFM3-1.7B vs LongCat-2.5

LongCat-2.5 leads the LLM Stats Score 50.0 to 25.0.

Liquid AI · Meituan · Updated for 2026

Which is better?

LongCat-2.5 leads the overall LLM Stats Score 50.0 to 25.0, ranking #20 overall.

In the 4 individual benchmarks reported for both models, LongCat-2.5 wins 4; this is a narrower head-to-head signal than the composite indexes.

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

Choose LFM3-1.7B

  • you need open weights you can self-host or fine-tune

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 value its reported benchmark strengths — it wins 4 of 4 exact shared results
  • you want the most recent training data — it shipped Nov 2026

At a glance

The differences that matter most.

LFM3-1.7B
Liquid AI
LongCat-2.5
Meituan
Core performance indexes
LLM Stats Score
25.0
#192
50.0
#20
Reasoning
20.8
#216
48.3
#21
Coding
7.4
#218
38.6
#27
Agents
18.1
#97
36.3
#23
Cost, coverage & limits
Benchmark wins
0 of 4
4 of 4
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

2 shared
Index
LFM3-1.7B
LongCat-2.5
Math
7.6#285
37.2#37
Tool use
14.3#119
30.2#15
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

20 reported for LFM3-1.7B · 23 for LongCat-2.5

4 shared

LFM3-1.7B outperforms in 0 benchmarks, while LongCat-2.5 is better at 4 benchmarks (Claw-Eval, Humanity's Last Exam (with tools, text-only), MCP Atlas, Terminal-Bench 2.1).

LongCat-2.5 significantly outperforms across most benchmarks.

Mon Nov 02 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

1598.3B diff

LongCat-2.5 has 1598.3B more parameters than LFM3-1.7B, making it 92385.5% larger.

Liquid AI
LFM3-1.7B
1.7Bparameters
Meituan
LongCat-2.5
1.6Tparameters
1.7B
LFM3-1.7B
1600.0B
LongCat-2.5

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).

Liquid AI
LFM3-1.7B
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

LongCat-2.5 supports multimodal inputs, whereas LFM3-1.7B does not.

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

LFM3-1.7B

Text
Images
Audio
Video

LongCat-2.5

Text
Images
Audio
Video

Release Timeline

When each model was launched

LFM3-1.7B was released on 2026-10-27, while LongCat-2.5 was released on 2026-11-01.

LongCat-2.5 is 0 month newer than LFM3-1.7B.

LFM3-1.7B

Oct 27, 2026

4 days ago

LongCat-2.5

Nov 1, 2026

-1 days ago

5d 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 LFM3-1.7B and LongCat-2.5 side-by-side, then vote on the output you prefer.

LFM3-1.7B
✓ Preferred
LongCat-2.5
Open in Playground

FAQ

Common questions about LFM3-1.7B vs LongCat-2.5.

Which is better, LFM3-1.7B or LongCat-2.5?

LongCat-2.5 leads the LLM Stats Score 50.0 to 25.0. LFM3-1.7B is made by Liquid 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 LFM3-1.7B compare to LongCat-2.5 in benchmarks?

LFM3-1.7B scores IFEval: 96.7%, Multi-IF: 89.1%, LiveCodeBench v6: 73.5%, IFBench: 73.0%, BFCL-V4: 71.4%. 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 LFM3-1.7B and LongCat-2.5?

LFM3-1.7B 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 LFM3-1.7B and LongCat-2.5?

Key differences include LLM Stats Score (25.0 vs 50.0), multimodal support (no vs yes), licensing (LFM Open License v1.0 vs Unknown). See the full comparison above for benchmark-by-benchmark results.

Who makes LFM3-1.7B and LongCat-2.5?

LFM3-1.7B is developed by Liquid AI and LongCat-2.5 is developed by Meituan.

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