Llama 3.2 3B Instruct vs Qwen2.5 7B Instruct
Qwen2.5 7B Instruct leads the LLM Stats Score 2.6 to -5.9. Llama 3.2 3B Instruct is 24.0x cheaper per token.
Meta · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Qwen2.5 7B Instruct leads the overall LLM Stats Score 2.6 to -5.9, ranking #301 overall.
In the 4 individual benchmarks reported for both models, Qwen2.5 7B Instruct wins 3; this is a narrower head-to-head signal than the composite indexes.
On price, Llama 3.2 3B Instruct is roughly 24.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Qwen2.5 7B Instruct also accepts a larger context window (131,072 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Llama 3.2 3B Instruct
- cost matters — it's about 24.0x cheaper per token
- you want the most recent training data — it shipped Sep 2024
Choose Qwen2.5 7B Instruct
- overall performance matters — it scores 2.6 and ranks #301 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 3 of 4 exact shared results
- you process long inputs — it offers a 131,072 token context window
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 · 14 for Qwen2.5 7B Instruct
Llama 3.2 3B Instruct outperforms in 1 benchmarks (IFEval), while Qwen2.5 7B Instruct is better at 3 benchmarks (GPQA, GSM8k, MATH).
Qwen2.5 7B Instruct shows notably better performance in the majority of benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Llama 3.2 3B Instruct ($0.01/1M tokens) is 30.0x cheaper than Qwen2.5 7B Instruct ($0.30/1M tokens).
For output processing, Llama 3.2 3B Instruct ($0.02/1M tokens) is 15.0x cheaper than Qwen2.5 7B Instruct ($0.30/1M tokens).
In conclusion, Qwen2.5 7B Instruct is more expensive than Llama 3.2 3B Instruct.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Qwen2.5 7B Instruct has 4.4B more parameters than Llama 3.2 3B Instruct, making it 137.1% larger.
Context Window
Maximum input and output token capacity
Qwen2.5 7B Instruct accepts 131,072 input tokens compared to Llama 3.2 3B Instruct's 128,000 tokens. Llama 3.2 3B Instruct can generate longer responses up to 128,000 tokens, while Qwen2.5 7B Instruct is limited to 8,192 tokens.
License
Usage and distribution terms
Llama 3.2 3B Instruct is licensed under Llama 3.2 Community License, while Qwen2.5 7B Instruct 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 7B Instruct was released on 2024-09-19.
Llama 3.2 3B Instruct is 0 month newer than Qwen2.5 7B Instruct.
Sep 25, 2024
1.9 years ago
6d newerSep 19, 2024
2.0 years ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Llama 3.2 3B Instruct is available from DeepInfra. Qwen2.5 7B Instruct is available from Together.
Llama 3.2 3B Instruct
Qwen2.5 7B Instruct
Outputs Comparison
Judge for yourself.
Run your own prompts against Llama 3.2 3B Instruct and Qwen2.5 7B Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about Llama 3.2 3B Instruct vs Qwen2.5 7B Instruct.