LFM3-VL-2B vs Pixtral-12B
LFM3-VL-2B leads the LLM Stats Score 15.5 to -2.2.
Liquid AI · Mistral AI · Updated for 2026
Which is better?
LFM3-VL-2B leads the overall LLM Stats Score 15.5 to -2.2, ranking #265 overall.
In the 3 individual benchmarks reported for both models, LFM3-VL-2B wins 3; this is a narrower head-to-head signal than the composite indexes.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
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 value its reported benchmark strengths — it wins 3 of 3 exact shared results
- you want the most recent training data — it shipped Oct 2026
Choose Pixtral-12B
- you want predictable pricing at $0.15/M input and $0.15/M output
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
41 reported for LFM3-VL-2B · 12 for Pixtral-12B
LFM3-VL-2B outperforms in 3 benchmarks (ChartQA, DocVQA, MM IF-Eval), while Pixtral-12B is better at 0 benchmarks.
LFM3-VL-2B significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
Pixtral-12B has 10.5B more parameters than LFM3-VL-2B, making it 545.8% larger.
Context Window
Maximum input and output token capacity
Only Pixtral-12B specifies input context (128,000 tokens). Only Pixtral-12B specifies output context (8,192 tokens).
Input capabilities
Documented input modalities across available providers
Both LFM3-VL-2B and Pixtral-12B support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
LFM3-VL-2B
Pixtral-12B
License
Usage and distribution terms
LFM3-VL-2B is licensed under LFM Open License v1.0, while Pixtral-12B uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
LFM Open License v1.0
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
LFM3-VL-2B was released on 2026-10-27, while Pixtral-12B was released on 2024-09-17.
LFM3-VL-2B is 26 months newer than Pixtral-12B.
Oct 27, 2026
5 days ago
2.1yr newerSep 17, 2024
2.1 years ago
Knowledge 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 LFM3-VL-2B and Pixtral-12B side-by-side, then vote on the output you prefer.
FAQ
Common questions about LFM3-VL-2B vs Pixtral-12B.