Comprehensive side-by-side LLM comparison
Llama 3.3 70B Instruct leads with 38.6% higher average benchmark score. Llama 3.3 70B Instruct offers 190.5K more tokens in context window than QwQ-32B-Preview. Both models have similar pricing. Llama 3.3 70B Instruct is available on 9 providers. Overall, Llama 3.3 70B Instruct is the stronger choice for coding tasks.
Meta
Llama 3.3 70B Instruct is a language model developed by Meta. It achieves strong performance with an average score of 79.9% across 9 benchmarks. It excels particularly in IFEval (92.1%), MGSM (91.1%), HumanEval (88.4%). 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.
8 days newer
QwQ-32B-Preview
Alibaba Cloud / Qwen Team
2024-11-28
Llama 3.3 70B Instruct
Meta
2024-12-06
Cost per million tokens (USD)
Llama 3.3 70B Instruct
QwQ-32B-Preview
Context window and performance specifications
Average performance across 12 common benchmarks
Llama 3.3 70B Instruct
QwQ-32B-Preview
QwQ-32B-Preview
2024-11-28
Available providers and their performance metrics
Llama 3.3 70B Instruct
Bedrock
Cerebras
DeepInfra
Fireworks
Groq
Llama 3.3 70B Instruct
QwQ-32B-Preview
Llama 3.3 70B Instruct
QwQ-32B-Preview
Hyperbolic
Lambda
Sambanova
Together
QwQ-32B-Preview
DeepInfra
Fireworks
Hyperbolic
Together