Llama 4 Scout vs Qwen2.5 14B Instruct
Llama 4 Scout and Qwen2.5 14B Instruct are closely matched at 7.8 and 3.8 on the LLM Stats Score.
Meta · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Llama 4 Scout and Qwen2.5 14B Instruct are closely matched on the overall LLM Stats Score at 7.8 and 3.8.
In the 5 individual benchmarks reported for both models, Qwen2.5 14B Instruct 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 Llama 4 Scout
- you want the most recent training data — it shipped Apr 2025
Choose Qwen2.5 14B Instruct
- you value its reported benchmark strengths — it wins 3 of 5 exact shared results
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
12 reported for Llama 4 Scout · 16 for Qwen2.5 14B Instruct
Llama 4 Scout outperforms in 2 benchmarks (GPQA, MMLU-Pro), while Qwen2.5 14B Instruct is better at 3 benchmarks (MATH, MBPP, MMLU).
Qwen2.5 14B Instruct has a slight edge in benchmark performance.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
Llama 4 Scout has 94.3B more parameters than Qwen2.5 14B Instruct, making it 641.5% larger.
Context Window
Maximum input and output token capacity
Only Llama 4 Scout specifies input context (10,000,000 tokens). Only Llama 4 Scout specifies output context (10,000,000 tokens).
Input capabilities
Documented input modalities across available providers
Llama 4 Scout supports multimodal inputs, whereas Qwen2.5 14B Instruct does not.
Llama 4 Scout can handle both text and other forms of data like images, making it suitable for multimodal applications.
Llama 4 Scout
Qwen2.5 14B Instruct
License
Usage and distribution terms
Llama 4 Scout is licensed under Llama 4 Community License Agreement, while Qwen2.5 14B Instruct uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
Llama 4 Community License Agreement
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
Llama 4 Scout was released on 2025-04-05, while Qwen2.5 14B Instruct was released on 2024-09-19.
Llama 4 Scout is 7 months newer than Qwen2.5 14B Instruct.
Apr 5, 2025
1.5 years ago
6mo newerSep 19, 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 Llama 4 Scout and Qwen2.5 14B Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about Llama 4 Scout vs Qwen2.5 14B Instruct.