DeepSeek-R1 vs LFM2.5-VL-3B
Comparing DeepSeek-R1 and LFM2.5-VL-3B across benchmarks, pricing, and capabilities.
DeepSeek · Liquid AI · Updated for 2026
Which is better?
DeepSeek-R1 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
- you want predictable pricing at $0.55/M input and $2.19/M output
Choose LFM2.5-VL-3B
- you want the most recent training data — it shipped Aug 2026
At a glance
The differences that matter most.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek-R1 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
DeepSeek-R1 has 667.9B more parameters than LFM2.5-VL-3B, making it 21382.4% larger.
Context Window
Maximum input and output token capacity
Only DeepSeek-R1 specifies input context (131,072 tokens). Only DeepSeek-R1 specifies output context (131,072 tokens).
Input Capabilities
Supported data types and modalities
LFM2.5-VL-3B supports multimodal inputs, whereas DeepSeek-R1 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
LFM2.5-VL-3B
License
Usage and distribution terms
DeepSeek-R1 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.
MIT
Open weights
LFM Open License v1.0
Open weights
Release Timeline
When each model was launched
DeepSeek-R1 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.
Jan 20, 2025
1.6 years ago
Aug 12, 2026
1 weeks ago
1.6yr newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek-R1 and LFM2.5-VL-3B side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-R1 vs LFM2.5-VL-3B.