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DeepSeek VL2 vs LFM3-1.7B

LFM3-1.7B leads the LLM Stats Score 25.0 to 2.3.

DeepSeek · Liquid AI · Updated for 2026

Which is better?

LFM3-1.7B leads the overall LLM Stats Score 25.0 to 2.3, ranking #191 overall.

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

Choose DeepSeek VL2

  • you are already invested in the DeepSeek ecosystem

Choose LFM3-1.7B

  • overall performance matters — it scores 25.0 and ranks #191 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 VL2
DeepSeek
LFM3-1.7B
Liquid AI
Core performance indexes
LLM Stats Score
2.3
#351
25.0
#191
Reasoning
-2.4
#371
20.8
#216
Cost, coverage & limits
Benchmark wins
—
—
Input price
— / M
— / M
Output price
— / M
— / M
Context window
129,280
—

Individual benchmarks

14 reported for DeepSeek VL2 · 20 for LFM3-1.7B

No common benchmarks found

DeepSeek VL2 and LFM3-1.7Bdon'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

25.3B diff

DeepSeek VL2 has 25.3B more parameters than LFM3-1.7B, making it 1460.7% larger.

DeepSeek
DeepSeek VL2
27.0Bparameters
Liquid AI
LFM3-1.7B
1.7Bparameters
27.0B
DeepSeek VL2
1.7B
LFM3-1.7B

Context Window

Maximum input and output token capacity

Only DeepSeek VL2 specifies input context (129,280 tokens). Only DeepSeek VL2 specifies output context (129,280 tokens).

DeepSeek
DeepSeek VL2
Input129,280 tokens
Output129,280 tokens
Liquid AI
LFM3-1.7B
Input- tokens
Output- tokens
Wed Nov 04 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

DeepSeek VL2 supports multimodal inputs, whereas LFM3-1.7B does not.

DeepSeek VL2 can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek VL2

Text
Images
Audio
Video

LFM3-1.7B

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek VL2 is licensed under deepseek, while LFM3-1.7B uses LFM Open License v1.0.

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

DeepSeek VL2

deepseek

Open weights

LFM3-1.7B

LFM Open License v1.0

Open weights

Release Timeline

When each model was launched

DeepSeek VL2 was released on 2024-12-13, while LFM3-1.7B was released on 2026-10-27.

LFM3-1.7B is 23 months newer than DeepSeek VL2.

DeepSeek VL2

Dec 13, 2024

1.9 years ago

LFM3-1.7B

Oct 27, 2026

1 weeks ago

1.9yr 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 VL2 and LFM3-1.7B side-by-side, then vote on the output you prefer.

DeepSeek VL2
✓ Preferred
LFM3-1.7B
Open in Playground

FAQ

Common questions about DeepSeek VL2 vs LFM3-1.7B.

Which is better, DeepSeek VL2 or LFM3-1.7B?

LFM3-1.7B leads the LLM Stats Score 25.0 to 2.3. DeepSeek VL2 is made by DeepSeek and LFM3-1.7B 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 VL2 compare to LFM3-1.7B in benchmarks?

DeepSeek VL2 scores DocVQA: 93.3%, ChartQA: 86.0%, TextVQA: 84.2%, AI2D: 81.4%, OCRBench: 81.1%. LFM3-1.7B scores IFEval: 96.7%, Multi-IF: 89.1%, LiveCodeBench v6: 73.5%, IFBench: 73.0%, BFCL-V4: 71.4%.

What are the context window sizes for DeepSeek VL2 and LFM3-1.7B?

DeepSeek VL2 supports 129K tokens and LFM3-1.7B supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DeepSeek VL2 and LFM3-1.7B?

Key differences include LLM Stats Score (2.3 vs 25.0), multimodal support (yes vs no), licensing (deepseek vs LFM Open License v1.0). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek VL2 and LFM3-1.7B?

DeepSeek VL2 is developed by DeepSeek and LFM3-1.7B is developed by Liquid AI.

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