Llama 3.2 3B Instruct vs QwQ-32B-Preview
QwQ-32B-Preview leads the LLM Stats Score 9.0 to -6.1. Llama 3.2 3B Instruct is 13.0x cheaper per token.
Meta · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
QwQ-32B-Preview leads the overall LLM Stats Score 9.0 to -6.1, ranking #273 overall.
In the 1 individual benchmarks reported for both models, QwQ-32B-Preview wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, Llama 3.2 3B Instruct is roughly 13.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Llama 3.2 3B Instruct also accepts a larger context window (128,000 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 13.0x cheaper per token
- you process long inputs — it offers a 128,000 token context window
Choose QwQ-32B-Preview
- overall performance matters — it scores 9.0 and ranks #273 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- you want the most recent training data — it shipped Nov 2024
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 · 4 for QwQ-32B-Preview
Llama 3.2 3B Instruct outperforms in 0 benchmarks, while QwQ-32B-Preview is better at 1 benchmark (GPQA).
QwQ-32B-Preview significantly outperforms across most 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 15.0x cheaper than QwQ-32B-Preview ($0.15/1M tokens).
For output processing, Llama 3.2 3B Instruct ($0.02/1M tokens) is 10.0x cheaper than QwQ-32B-Preview ($0.20/1M tokens).
In conclusion, QwQ-32B-Preview is more expensive than Llama 3.2 3B Instruct.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
QwQ-32B-Preview has 29.3B more parameters than Llama 3.2 3B Instruct, making it 912.5% larger.
Context Window
Maximum input and output token capacity
Llama 3.2 3B Instruct accepts 128,000 input tokens compared to QwQ-32B-Preview's 32,768 tokens. Llama 3.2 3B Instruct can generate longer responses up to 128,000 tokens, while QwQ-32B-Preview is limited to 32,768 tokens.
License
Usage and distribution terms
Llama 3.2 3B Instruct is licensed under Llama 3.2 Community License, while QwQ-32B-Preview 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 QwQ-32B-Preview was released on 2024-11-28.
QwQ-32B-Preview is 2 months newer than Llama 3.2 3B Instruct.
Sep 25, 2024
2.0 years ago
Nov 28, 2024
1.8 years ago
2mo newerKnowledge Cutoff
When training data ends
QwQ-32B-Preview has a documented knowledge cutoff of 2024-11-28, while Llama 3.2 3B Instruct's cutoff date is not specified.
We can confirm QwQ-32B-Preview's training data extends to 2024-11-28, but cannot make a direct comparison without Llama 3.2 3B Instruct's cutoff date.
—
Nov 2024
Provider Availability
Llama 3.2 3B Instruct is available from DeepInfra. QwQ-32B-Preview is available from DeepInfra, Hyperbolic, Fireworks, Together.
Llama 3.2 3B Instruct
QwQ-32B-Preview
Outputs Comparison
Judge for yourself.
Run your own prompts against Llama 3.2 3B Instruct and QwQ-32B-Preview side-by-side, then vote on the output you prefer.
FAQ
Common questions about Llama 3.2 3B Instruct vs QwQ-32B-Preview.