Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance

Llama 3.3 70B Instruct
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%). The model shows particular specialization in code tasks with an average performance of 89.4%. 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.

QwQ-32B-Preview
Alibaba
QwQ-32B-Preview is a language model developed by Alibaba. 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's latest advancement in AI technology.

QwQ-32B-Preview
Alibaba
2024-11-28

Llama 3.3 70B Instruct
Meta
2024-12-06
8 days newer
Pricing Comparison
Cost per million tokens (USD)

Llama 3.3 70B Instruct

QwQ-32B-Preview
Performance Metrics
Context window and performance specifications

Llama 3.3 70B Instruct

QwQ-32B-Preview
Average performance across 1 common benchmarks

Llama 3.3 70B Instruct

QwQ-32B-Preview
Performance comparison across key benchmark categories

Llama 3.3 70B Instruct

QwQ-32B-Preview
QwQ-32B-Preview
2024-11-28
Provider Availability & Performance
Available providers and their performance metrics

Llama 3.3 70B Instruct
Sambanova
Together
Hyperbolic
DeepInfra
Fireworks
Groq
Bedrock
Lambda
Cerebras

QwQ-32B-Preview
Together
Hyperbolic
DeepInfra
Fireworks

Llama 3.3 70B Instruct

QwQ-32B-Preview