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LFM3-VL-2B vs MAI-Thinking-1

MAI-Thinking-1 leads the LLM Stats Score 32.4 to 15.5.

Liquid AI · Microsoft · Updated for 2026

Which is better?

MAI-Thinking-1 leads the overall LLM Stats Score 32.4 to 15.5, ranking #132 overall.

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

Choose LFM3-VL-2B

  • you want the most recent training data — it shipped Oct 2026
  • you need open weights you can self-host or fine-tune

Choose MAI-Thinking-1

  • overall performance matters — it scores 32.4 and ranks #132 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes

At a glance

The differences that matter most.

Core performance indexes
15.5
#265
32.4
#132
16.2
#252
33.3
#121
Cost, coverage & limits
Benchmark wins
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Input price
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Output price
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Context window
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Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
LFM3-VL-2B
MAI-Thinking-1
19.0#187
33.6#57
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

41 reported for LFM3-VL-2B · 23 for MAI-Thinking-1

No common benchmarks found

LFM3-VL-2B and MAI-Thinking-1don'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

Model Size

Parameter count comparison

998.1B diff

MAI-Thinking-1 has 998.1B more parameters than LFM3-VL-2B, making it 51983.3% larger.

Liquid AI
LFM3-VL-2B
1.9Bparameters
Microsoft
MAI-Thinking-1
1.0Tparameters
1.9B
LFM3-VL-2B
1000.0B
MAI-Thinking-1

Input capabilities

Documented input modalities across available providers

LFM3-VL-2B supports multimodal inputs, whereas MAI-Thinking-1 does not.

LFM3-VL-2B can handle both text and other forms of data like images, making it suitable for multimodal applications.

LFM3-VL-2B

Text
Images
Audio
Video

MAI-Thinking-1

Text
Images
Audio
Video

License

Usage and distribution terms

LFM3-VL-2B is licensed under LFM Open License v1.0, while MAI-Thinking-1 uses a proprietary license.

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

LFM3-VL-2B

LFM Open License v1.0

Open weights

MAI-Thinking-1

Proprietary

Closed source

Release Timeline

When each model was launched

LFM3-VL-2B was released on 2026-10-27, while MAI-Thinking-1 was released on 2026-06-02.

LFM3-VL-2B is 5 months newer than MAI-Thinking-1.

LFM3-VL-2B

Oct 27, 2026

1 weeks ago

4mo newer
MAI-Thinking-1

Jun 2, 2026

5 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?

Judge for yourself.

Run your own prompts against LFM3-VL-2B and MAI-Thinking-1 side-by-side, then vote on the output you prefer.

LFM3-VL-2B
✓ Preferred
MAI-Thinking-1
Open in Playground

FAQ

Common questions about LFM3-VL-2B vs MAI-Thinking-1.

Which is better, LFM3-VL-2B or MAI-Thinking-1?

MAI-Thinking-1 leads the LLM Stats Score 32.4 to 15.5. LFM3-VL-2B is made by Liquid AI and MAI-Thinking-1 is made by Microsoft. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does LFM3-VL-2B compare to MAI-Thinking-1 in benchmarks?

LFM3-VL-2B scores DocVQA: 96.7%, CountBench: 93.0%, ChartQA: 92.7%, RefCOCO-avg: 90.5%, POPE: 88.7%. MAI-Thinking-1 scores LongFact: 98.0%, AIME 2025: 97.0%, AIME 2026: 94.5%, GraphWalks: 90.0%, AIR-Bench: 88.0%.

What are the main differences between LFM3-VL-2B and MAI-Thinking-1?

Key differences include LLM Stats Score (15.5 vs 32.4), multimodal support (yes vs no), licensing (LFM Open License v1.0 vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes LFM3-VL-2B and MAI-Thinking-1?

LFM3-VL-2B is developed by Liquid AI and MAI-Thinking-1 is developed by Microsoft.