Llama 3.2 3B Instruct vs QwQ-32B-Preview: Complete Benchmarks, Speed & Cost Comparison (2025)

Llama 3.2 3B Instruct vs QwQ-32B-Preview

Comprehensive side-by-side LLM comparison

QwQ-32B-Preview leads with 32.4% higher average benchmark score. Llama 3.2 3B Instruct offers 190.5K more tokens in context window than QwQ-32B-Preview. Both models have similar pricing. QwQ-32B-Preview is available on 4 providers. Overall, QwQ-32B-Preview is the stronger choice for coding tasks.

Meta

Llama 3.2 3B was created as an ultra-compact open-source model, designed to enable on-device and edge deployment scenarios. Built with just 3 billion parameters while retaining instruction-following abilities, it brings Meta's language technology to mobile devices, IoT applications, and resource-constrained environments.

Alibaba Cloud / Qwen Team

QwQ 32B Preview was introduced as an early access version of the QwQ reasoning model, designed to allow researchers and developers to experiment with advanced analytical capabilities. Built to gather feedback on reasoning-enhanced architecture, it represents an experimental step toward more thoughtful language models.

2 months newer

Llama 3.2 3B Instruct

Pricing Comparison

Cost per million tokens (USD)

Llama 3.2 3B Instruct

Input:$0.01

Output:$0.02($0.32 cheaper)

QwQ-32B-Preview

Input:$0.15

Output:$0.20

Performance Metrics

Context window and performance specifications

Average performance across 1 common benchmarks

Llama 3.2 3B Instruct

Average Score:32.8%

QwQ-32B-Preview

Average Score:65.2%(+32.4%)

Knowledge Cutoff

Training data recency comparison

QwQ-32B-Preview

2024-11-28

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Llama 3.2 3B Instruct

1 providers

DeepInfra

Throughput: 171.5 tok/s

Latency: 0.24ms

QwQ-32B-Preview

Llama 3.2 3B Instruct

Avg Score:32.8%

Providers:1

QwQ-32B-Preview

Avg Score:65.2%(+32.4%)

Providers:4