Llama 3.2 90B Instruct vs QwQ-32B-Preview - AI Comparison for Builders | airank.dev

Llama 3.2 90B Instruct vs QwQ-32B-Preview

Comprehensive side-by-side LLM comparison

Llama 3.2 90B Instruct leads with 41.9% higher average benchmark score. Llama 3.2 90B Instruct offers 190.5K more tokens in context window than QwQ-32B-Preview. Both models have similar pricing. Llama 3.2 90B Instruct supports multimodal inputs. Overall, Llama 3.2 90B Instruct is the stronger choice for coding tasks.

Meta

Llama 3.2 90B Instruct is a multimodal language model developed by Meta. It achieves strong performance with an average score of 71.3% across 13 benchmarks. It excels particularly in AI2D (92.3%), DocVQA (90.1%), MGSM (86.9%). It supports a 256K token context window for handling large documents. The model is available through 5 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. 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 90B Instruct

Pricing Comparison

Cost per million tokens (USD)

Llama 3.2 90B Instruct

Input:$0.35

Output:$0.40

QwQ-32B-Preview

Input:$0.15

Output:$0.20($0.40 cheaper)

Performance Metrics

Context window and performance specifications

Average performance across 16 common benchmarks

Llama 3.2 90B Instruct

Average Score:57.9%(+41.9%)

QwQ-32B-Preview

Average Score:16.0%

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 90B Instruct

5 providers

Bedrock

Throughput: 100 tok/s

Latency: 0.5ms

DeepInfra

Throughput: 24 tok/s

Latency: 0.5ms

Fireworks

Throughput: 50 tok/s

Latency: 0.5ms

Hyperbolic

Throughput: 42 tok/s

Latency: 0.5ms

Together

Llama 3.2 90B Instruct

Avg Score:57.9%(+41.9%)

Providers:5

QwQ-32B-Preview

Avg Score:16.0%

Providers:4