Llama 3.2 11B Instruct vs QwQ-32B-Preview - AI Comparison for Builders | airank.dev

Llama 3.2 11B Instruct vs QwQ-32B-Preview

Comprehensive side-by-side LLM comparison

Llama 3.2 11B Instruct leads with 31.7% higher average benchmark score. Llama 3.2 11B Instruct offers 190.5K more tokens in context window than QwQ-32B-Preview. Both models have similar pricing. Llama 3.2 11B Instruct supports multimodal inputs. Llama 3.2 11B Instruct is available on 6 providers. Overall, Llama 3.2 11B Instruct is the stronger choice for coding tasks.

Meta

Llama 3.2 11B Instruct is a multimodal language model developed by Meta. It achieves strong performance with an average score of 63.6% across 11 benchmarks. It excels particularly in AI2D (91.1%), DocVQA (88.4%), ChartQA (83.4%). It supports a 256K token context window for handling large documents. The model is available through 6 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents Meta's latest advancement in AI technology.

Alibaba Cloud / Qwen Team

QwQ-32B-Preview is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 64.0% across 4 benchmarks. It excels particularly in MATH-500 (90.6%), GPQA (65.2%), AIME 2024 (50.0%). The model is available through 4 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.

2 months newer

Llama 3.2 11B Instruct

Pricing Comparison

Cost per million tokens (USD)

Llama 3.2 11B Instruct

Input:$0.05

Output:$0.05($0.25 cheaper)

QwQ-32B-Preview

Input:$0.15

Output:$0.20

Performance Metrics

Context window and performance specifications

Average performance across 14 common benchmarks

Llama 3.2 11B Instruct

Average Score:50.0%(+31.7%)

QwQ-32B-Preview

Average Score:18.3%

Knowledge Cutoff

Training data recency comparison

Llama 3.2 11B Instruct

2023-12-31

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 11B Instruct

6 providers

Bedrock

Throughput: 100 tok/s

Latency: 0.5ms

DeepInfra

Throughput: 108 tok/s

Latency: 0.5ms

Fireworks

Throughput: 125 tok/s

Latency: 0.2ms

Groq

Throughput: 100 tok/s

Latency: 0.5ms

Sambanova

Llama 3.2 11B Instruct

Avg Score:50.0%(+31.7%)

Providers:6

QwQ-32B-Preview

Avg Score:18.3%

Providers:4