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DeepSeek R1 Distill Qwen 7B vs LFM2.5-VL-3B

Comparing DeepSeek R1 Distill Qwen 7B and LFM2.5-VL-3B across benchmarks, pricing, and capabilities.

DeepSeek · Liquid AI · Updated for 2026

Which is better?

DeepSeek R1 Distill Qwen 7B and LFM2.5-VL-3B 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 DeepSeek R1 Distill Qwen 7B

  • you are already invested in the DeepSeek ecosystem

Choose LFM2.5-VL-3B

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

At a glance

The differences that matter most.

DeepSeek R1 Distill Qwen 7B
DeepSeek
LFM2.5-VL-3B
Liquid AI
Benchmark wins
—
—
Input price
— / M
— / M
Output price
— / M
— / M
Context window
—
—
Released
Jan 2025
Aug 2026
License
MIT
LFM Open License v1.0

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek R1 Distill Qwen 7B and LFM2.5-VL-3Bdon'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

4.5B diff

DeepSeek R1 Distill Qwen 7B has 4.5B more parameters than LFM2.5-VL-3B, making it 144.0% larger.

DeepSeek
DeepSeek R1 Distill Qwen 7B
7.6Bparameters
Liquid AI
LFM2.5-VL-3B
3.1Bparameters
7.6B
DeepSeek R1 Distill Qwen 7B
3.1B
LFM2.5-VL-3B

Input Capabilities

Supported data types and modalities

LFM2.5-VL-3B supports multimodal inputs, whereas DeepSeek R1 Distill Qwen 7B does not.

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

DeepSeek R1 Distill Qwen 7B

Text
Images
Audio
Video

LFM2.5-VL-3B

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek R1 Distill Qwen 7B is licensed under MIT, while LFM2.5-VL-3B 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 7B

MIT

Open weights

LFM2.5-VL-3B

LFM Open License v1.0

Open weights

Release Timeline

When each model was launched

DeepSeek R1 Distill Qwen 7B was released on 2025-01-20, while LFM2.5-VL-3B was released on 2026-08-12.

LFM2.5-VL-3B is 19 months newer than DeepSeek R1 Distill Qwen 7B.

DeepSeek R1 Distill Qwen 7B

Jan 20, 2025

1.6 years ago

LFM2.5-VL-3B

Aug 12, 2026

1 weeks ago

1.6yr 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?Start an Issue discussion→

Judge for yourself.

Run your own prompts against DeepSeek R1 Distill Qwen 7B and LFM2.5-VL-3B side-by-side, then vote on the output you prefer.

DeepSeek R1 Distill Qwen 7B
✓ Preferred
LFM2.5-VL-3B
Open in Playground

FAQ

Common questions about DeepSeek R1 Distill Qwen 7B vs LFM2.5-VL-3B.

Which is better, DeepSeek R1 Distill Qwen 7B or LFM2.5-VL-3B?

DeepSeek R1 Distill Qwen 7B (DeepSeek) and LFM2.5-VL-3B (Liquid AI) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does DeepSeek R1 Distill Qwen 7B compare to LFM2.5-VL-3B in benchmarks?

DeepSeek R1 Distill Qwen 7B scores MATH-500: 92.8%, AIME 2024: 83.3%, GPQA: 49.1%, LiveCodeBench: 37.6%. LFM2.5-VL-3B scores DocVQA: 91.1%, POPE: 88.7%, RefCOCO-avg: 87.9%, TextVQA: 84.3%, OCRBench: 84.2%.

What are the main differences between DeepSeek R1 Distill Qwen 7B and LFM2.5-VL-3B?

Key differences include 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 7B and LFM2.5-VL-3B?

DeepSeek R1 Distill Qwen 7B is developed by DeepSeek and LFM2.5-VL-3B is developed by Liquid AI.

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