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LFM3-1.7B vs LongCat-Flash-Chat

LFM3-1.7B leads the LLM Stats Score 25.0 to 19.2.

Liquid AI · Meituan · Updated for 2026

Which is better?

LFM3-1.7B leads the overall LLM Stats Score 25.0 to 19.2, ranking #191 overall.

In the 3 individual benchmarks reported for both models, LongCat-Flash-Chat wins 2; 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

  • overall performance matters — it scores 25.0 and ranks #191 on LLM Stats
  • you want the most recent training data — it shipped Oct 2026

Choose LongCat-Flash-Chat

  • you value its reported benchmark strengths — it wins 2 of 3 exact shared results

At a glance

The differences that matter most.

LFM3-1.7B
Liquid AI
LongCat-Flash-Chat
Meituan
Core performance indexes
LLM Stats Score
25.0
#191
19.2
#238
Reasoning
20.8
#216
19.2
#233
Coding
7.4
#218
12.3
#176
Agents
18.1
#97
8.5
#160
Cost, coverage & limits
Benchmark wins
1 of 3
2 of 3
Input price
— / M
$0.30 / M
Output price
— / M
$1.20 / M
Context window
—
128,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
LFM3-1.7B
LongCat-Flash-Chat
Math
7.6#285
18.9#189
Tool use
14.3#119
7.8#170
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

20 reported for LFM3-1.7B · 16 for LongCat-Flash-Chat

3 shared

LFM3-1.7B outperforms in 1 benchmarks (IFEval), while LongCat-Flash-Chat is better at 2 benchmarks (GPQA, SWE-Bench Verified).

LongCat-Flash-Chat shows notably better performance in the majority of benchmarks.

Fri Nov 06 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

558.3B diff

LongCat-Flash-Chat has 558.3B more parameters than LFM3-1.7B, making it 32269.9% larger.

Liquid AI
LFM3-1.7B
1.7Bparameters
Meituan
LongCat-Flash-Chat
560.0Bparameters
1.7B
LFM3-1.7B
560.0B
LongCat-Flash-Chat

Context Window

Maximum input and output token capacity

Only LongCat-Flash-Chat specifies input context (128,000 tokens). Only LongCat-Flash-Chat specifies output context (128,000 tokens).

Liquid AI
LFM3-1.7B
Input- tokens
Output- tokens
Meituan
LongCat-Flash-Chat
Input128,000 tokens
Output128,000 tokens
Fri Nov 06 2026 • llm-stats.com

License

Usage and distribution terms

LFM3-1.7B is licensed under LFM Open License v1.0, while LongCat-Flash-Chat uses MIT.

License differences may affect how you can use these models in commercial or open-source projects.

LFM3-1.7B

LFM Open License v1.0

Open weights

LongCat-Flash-Chat

MIT

Open weights

Release Timeline

When each model was launched

LFM3-1.7B was released on 2026-10-27, while LongCat-Flash-Chat was released on 2025-08-29.

LFM3-1.7B is 14 months newer than LongCat-Flash-Chat.

LFM3-1.7B

Oct 27, 2026

1 weeks ago

1.2yr newer
LongCat-Flash-Chat

Aug 29, 2025

1.2 years ago

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-Flash-Chat side-by-side, then vote on the output you prefer.

LFM3-1.7B
✓ Preferred
LongCat-Flash-Chat
Open in Playground

FAQ

Common questions about LFM3-1.7B vs LongCat-Flash-Chat.

Which is better, LFM3-1.7B or LongCat-Flash-Chat?

LFM3-1.7B leads the LLM Stats Score 25.0 to 19.2. LFM3-1.7B is made by Liquid AI and LongCat-Flash-Chat 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-Flash-Chat 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-Flash-Chat scores MATH-500: 96.4%, MMLU: 89.7%, IFEval: 89.6%, ZebraLogic: 89.3%, HumanEval: 88.4%.

What are the context window sizes for LFM3-1.7B and LongCat-Flash-Chat?

LFM3-1.7B supports an unknown number of tokens and LongCat-Flash-Chat supports 128K 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-Flash-Chat?

Key differences include LLM Stats Score (25.0 vs 19.2), licensing (LFM Open License v1.0 vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes LFM3-1.7B and LongCat-Flash-Chat?

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

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