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DeepSeek R1 Distill Qwen 1.5B vs LFM3-VL-2B

LFM3-VL-2B leads the LLM Stats Score 15.5 to -3.6.

DeepSeek · Liquid AI · Updated for 2026

Which is better?

LFM3-VL-2B leads the overall LLM Stats Score 15.5 to -3.6, ranking #265 overall.

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

Choose DeepSeek R1 Distill Qwen 1.5B

  • you are already invested in the DeepSeek ecosystem

Choose LFM3-VL-2B

  • overall performance matters — it scores 15.5 and ranks #265 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Oct 2026

At a glance

The differences that matter most.

DeepSeek R1 Distill Qwen 1.5B
DeepSeek
LFM3-VL-2B
Liquid AI
Core performance indexes
LLM Stats Score
-3.6
#383
15.5
#265
Reasoning
-3.2
#374
16.2
#252
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
— / M
Output price
— / M
— / M
Context window
—
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
DeepSeek R1 Distill Qwen 1.5B
LFM3-VL-2B
Math
5.3#293
19.0#187
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

4 reported for DeepSeek R1 Distill Qwen 1.5B · 41 for LFM3-VL-2B

No common benchmarks found

DeepSeek R1 Distill Qwen 1.5B and LFM3-VL-2Bdon'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

140.0M diff

LFM3-VL-2B has 0.1B more parameters than DeepSeek R1 Distill Qwen 1.5B, making it 7.9% larger.

DeepSeek
DeepSeek R1 Distill Qwen 1.5B
1.8Bparameters
Liquid AI
LFM3-VL-2B
1.9Bparameters
1.8B
DeepSeek R1 Distill Qwen 1.5B
1.9B
LFM3-VL-2B

Input capabilities

Documented input modalities across available providers

LFM3-VL-2B supports multimodal inputs, whereas DeepSeek R1 Distill Qwen 1.5B does not.

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

DeepSeek R1 Distill Qwen 1.5B

Text
Images
Audio
Video

LFM3-VL-2B

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek R1 Distill Qwen 1.5B is licensed under MIT, while LFM3-VL-2B uses LFM Open License v1.0.

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

DeepSeek R1 Distill Qwen 1.5B

MIT

Open weights

LFM3-VL-2B

LFM Open License v1.0

Open weights

Release Timeline

When each model was launched

DeepSeek R1 Distill Qwen 1.5B was released on 2025-01-20, while LFM3-VL-2B was released on 2026-10-27.

LFM3-VL-2B is 22 months newer than DeepSeek R1 Distill Qwen 1.5B.

DeepSeek R1 Distill Qwen 1.5B

Jan 20, 2025

1.8 years ago

LFM3-VL-2B

Oct 27, 2026

4 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 DeepSeek R1 Distill Qwen 1.5B and LFM3-VL-2B side-by-side, then vote on the output you prefer.

DeepSeek R1 Distill Qwen 1.5B
✓ Preferred
LFM3-VL-2B
Open in Playground

FAQ

Common questions about DeepSeek R1 Distill Qwen 1.5B vs LFM3-VL-2B.

Which is better, DeepSeek R1 Distill Qwen 1.5B or LFM3-VL-2B?

LFM3-VL-2B leads the LLM Stats Score 15.5 to -3.6. DeepSeek R1 Distill Qwen 1.5B is made by DeepSeek and LFM3-VL-2B is made by Liquid AI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does DeepSeek R1 Distill Qwen 1.5B compare to LFM3-VL-2B in benchmarks?

DeepSeek R1 Distill Qwen 1.5B scores MATH-500: 83.9%, AIME 2024: 52.7%, GPQA: 33.8%, LiveCodeBench: 16.9%. LFM3-VL-2B scores DocVQA: 96.7%, CountBench: 93.0%, ChartQA: 92.7%, RefCOCO-avg: 90.5%, POPE: 88.7%.

What are the main differences between DeepSeek R1 Distill Qwen 1.5B and LFM3-VL-2B?

Key differences include LLM Stats Score (-3.6 vs 15.5), multimodal support (no vs yes), licensing (MIT vs LFM Open License v1.0). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek R1 Distill Qwen 1.5B and LFM3-VL-2B?

DeepSeek R1 Distill Qwen 1.5B is developed by DeepSeek and LFM3-VL-2B is developed by Liquid AI.

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