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LFM2.5-VL-3B vs LongCat-Flash-Thinking-2601

Comparing LFM2.5-VL-3B and LongCat-Flash-Thinking-2601 across benchmarks, pricing, and capabilities.

Liquid AI · Meituan · Updated for 2026

Which is better?

LFM2.5-VL-3B and LongCat-Flash-Thinking-2601 trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

Based on current benchmark, pricing, and model metadata for 2026.

Choose LFM2.5-VL-3B

  • you want the most recent training data — it shipped Aug 2026

Choose LongCat-Flash-Thinking-2601

  • you want predictable pricing at $0.30/M input and $1.20/M output

At a glance

The differences that matter most.

LFM2.5-VL-3B
Liquid AI
LongCat-Flash-Thinking-2601
Meituan
Benchmark wins
—
—
Input price
— / M
$0.30 / M
Output price
— / M
$1.20 / M
Context window
—
128,000
Released
Aug 2026
Jan 2026
License
LFM Open License v1.0
MIT

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

LFM2.5-VL-3B and LongCat-Flash-Thinking-2601don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Playground indexes and blind preference scores

Model Size

Parameter count comparison

556.9B diff

LongCat-Flash-Thinking-2601 has 556.9B more parameters than LFM2.5-VL-3B, making it 17828.7% larger.

Liquid AI
LFM2.5-VL-3B
3.1Bparameters
Meituan
LongCat-Flash-Thinking-2601
560.0Bparameters
3.1B
LFM2.5-VL-3B
560.0B
LongCat-Flash-Thinking-2601

Context Window

Maximum input and output token capacity

Only LongCat-Flash-Thinking-2601 specifies input context (128,000 tokens). Only LongCat-Flash-Thinking-2601 specifies output context (128,000 tokens).

Liquid AI
LFM2.5-VL-3B
Input- tokens
Output- tokens
Meituan
LongCat-Flash-Thinking-2601
Input128,000 tokens
Output128,000 tokens
Tue Aug 25 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

LFM2.5-VL-3B supports multimodal inputs, whereas LongCat-Flash-Thinking-2601 does not.

LFM2.5-VL-3B can handle both text and other forms of data like images, making it suitable for multimodal applications.

LFM2.5-VL-3B

Text
Images
Audio
Video

LongCat-Flash-Thinking-2601

Text
Images
Audio
Video

License

Usage and distribution terms

LFM2.5-VL-3B is licensed under LFM Open License v1.0, while LongCat-Flash-Thinking-2601 uses MIT.

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

LFM2.5-VL-3B

LFM Open License v1.0

Open weights

LongCat-Flash-Thinking-2601

MIT

Open weights

Release Timeline

When each model was launched

LFM2.5-VL-3B was released on 2026-08-12, while LongCat-Flash-Thinking-2601 was released on 2026-01-14.

LFM2.5-VL-3B is 7 months newer than LongCat-Flash-Thinking-2601.

LFM2.5-VL-3B

Aug 12, 2026

1 weeks ago

7mo newer
LongCat-Flash-Thinking-2601

Jan 14, 2026

7 months 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?Start an Issue discussion→

Judge for yourself.

Run your own prompts against LFM2.5-VL-3B and LongCat-Flash-Thinking-2601 side-by-side, then vote on the output you prefer.

LFM2.5-VL-3B
✓ Preferred
LongCat-Flash-Thinking-2601
Open in Playground

FAQ

Common questions about LFM2.5-VL-3B vs LongCat-Flash-Thinking-2601.

Which is better, LFM2.5-VL-3B or LongCat-Flash-Thinking-2601?

LFM2.5-VL-3B (Liquid AI) and LongCat-Flash-Thinking-2601 (Meituan) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does LFM2.5-VL-3B compare to LongCat-Flash-Thinking-2601 in benchmarks?

LFM2.5-VL-3B scores DocVQA: 91.1%, POPE: 88.7%, RefCOCO-avg: 87.9%, TextVQA: 84.3%, OCRBench: 84.2%. LongCat-Flash-Thinking-2601 scores AIME 2025: 99.6%, Tau2 Telecom: 99.3%, Tau2 Retail: 88.6%, LiveCodeBench: 82.8%, GPQA: 80.5%.

What are the context window sizes for LFM2.5-VL-3B and LongCat-Flash-Thinking-2601?

LFM2.5-VL-3B supports an unknown number of tokens and LongCat-Flash-Thinking-2601 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 LFM2.5-VL-3B and LongCat-Flash-Thinking-2601?

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

Who makes LFM2.5-VL-3B and LongCat-Flash-Thinking-2601?

LFM2.5-VL-3B is developed by Liquid AI and LongCat-Flash-Thinking-2601 is developed by Meituan.

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