Llama 3.1 70B Instruct vs QwQ-32B-Preview - AI Comparison for Builders | airank.dev

Llama 3.1 70B Instruct vs QwQ-32B-Preview

Comprehensive side-by-side LLM comparison

Llama 3.1 70B Instruct leads with 51.9% higher average benchmark score. Llama 3.1 70B Instruct offers 190.5K more tokens in context window than QwQ-32B-Preview. Both models have similar pricing. Llama 3.1 70B Instruct is available on 9 providers. Overall, Llama 3.1 70B Instruct is the stronger choice for coding tasks.

Meta

Llama 3.1 70B Instruct is a language model developed by Meta. It achieves strong performance with an average score of 74.7% across 18 benchmarks. It excels particularly in GSM-8K (CoT) (95.1%), ARC-C (94.8%), API-Bank (90.0%). It supports a 256K token context window for handling large documents. The model is available through 9 API providers. 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.

4 months newer

Llama 3.1 70B Instruct

Pricing Comparison

Cost per million tokens (USD)

Llama 3.1 70B Instruct

Input:$0.20

Output:$0.20

QwQ-32B-Preview

Input:$0.15

Output:$0.20($0.05 cheaper)

Performance Metrics

Context window and performance specifications

Average performance across 21 common benchmarks

Llama 3.1 70B Instruct

Average Score:64.0%(+51.9%)

QwQ-32B-Preview

Average Score:12.2%

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 3.1 70B Instruct

9 providers

Bedrock

Throughput: 100 tok/s

Latency: 0.5ms

Cerebras

Throughput: 1204 tok/s

Latency: 0.2ms

DeepInfra

Throughput: 25 tok/s

Latency: 0.5ms

Fireworks

Throughput: 32 tok/s

Latency: 0.5ms

Groq

Llama 3.1 70B Instruct

Avg Score:64.0%(+51.9%)

Providers:9

QwQ-32B-Preview

Avg Score:12.2%

Providers:4