Llama 3.2 3B Instruct vs Qwen2.5-Omni-7B
Qwen2.5-Omni-7B leads the LLM Stats Score 5.2 to -6.1.
Meta · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Qwen2.5-Omni-7B leads the overall LLM Stats Score 5.2 to -6.1, ranking #302 overall.
In the 3 individual benchmarks reported for both models, Qwen2.5-Omni-7B wins 2; 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 Llama 3.2 3B Instruct
- you want predictable pricing at $0.01/M input and $0.02/M output
Choose Qwen2.5-Omni-7B
- overall performance matters — it scores 5.2 and ranks #302 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 2 of 3 exact shared results
- you want the most recent training data — it shipped Mar 2025
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
15 reported for Llama 3.2 3B Instruct · 45 for Qwen2.5-Omni-7B
Llama 3.2 3B Instruct outperforms in 1 benchmarks (GPQA), while Qwen2.5-Omni-7B is better at 2 benchmarks (GSM8k, MATH).
Qwen2.5-Omni-7B shows notably better performance in the majority of benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
Qwen2.5-Omni-7B has 3.8B more parameters than Llama 3.2 3B Instruct, making it 118.1% larger.
Context Window
Maximum input and output token capacity
Only Llama 3.2 3B Instruct specifies input context (128,000 tokens). Only Llama 3.2 3B Instruct specifies output context (128,000 tokens).
Input capabilities
Documented input modalities across available providers
Qwen2.5-Omni-7B supports multimodal inputs, whereas Llama 3.2 3B Instruct does not.
Qwen2.5-Omni-7B can handle both text and other forms of data like images, making it suitable for multimodal applications.
Llama 3.2 3B Instruct
Qwen2.5-Omni-7B
License
Usage and distribution terms
Llama 3.2 3B Instruct is licensed under Llama 3.2 Community License, while Qwen2.5-Omni-7B uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
Llama 3.2 Community License
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
Llama 3.2 3B Instruct was released on 2024-09-25, while Qwen2.5-Omni-7B was released on 2025-03-27.
Qwen2.5-Omni-7B is 6 months newer than Llama 3.2 3B Instruct.
Sep 25, 2024
2.0 years ago
Mar 27, 2025
1.5 years ago
6mo 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 Llama 3.2 3B Instruct and Qwen2.5-Omni-7B side-by-side, then vote on the output you prefer.
FAQ
Common questions about Llama 3.2 3B Instruct vs Qwen2.5-Omni-7B.