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

Llama 3.2 3B Instruct
Meta
Llama 3.2 3B Instruct is a language model developed by Meta. The model shows competitive results across 15 benchmarks. It excels particularly in NIH/Multi-needle (84.7%), ARC-C (78.6%), GSM8k (77.7%). It supports a 256K token context window for handling large documents. The model is available through 1 API provider. Released in 2024, it represents Meta's latest advancement in AI technology.

Qwen3 32B
Alibaba
Qwen3 32B is a language model developed by Alibaba. It achieves strong performance with an average score of 75.3% across 9 benchmarks. It excels particularly in CodeForces (95.2%), Arena Hard (93.8%), AIME 2024 (81.4%). The model shows particular specialization in code tasks with an average performance of 80.4%. It supports a 256K token context window for handling large documents. The model is available through 3 API providers. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba's latest advancement in AI technology.

Llama 3.2 3B Instruct
Meta
2024-09-25

Qwen3 32B
Alibaba
2025-04-29
7 months newer
Pricing Comparison
Cost per million tokens (USD)

Llama 3.2 3B Instruct

Qwen3 32B
Performance Metrics
Context window and performance specifications

Llama 3.2 3B Instruct

Qwen3 32B
Performance comparison across key benchmark categories

Llama 3.2 3B Instruct

Qwen3 32B
Provider Availability & Performance
Available providers and their performance metrics

Llama 3.2 3B Instruct
DeepInfra

Qwen3 32B
Sambanova
DeepInfra
Novita

Llama 3.2 3B Instruct

Qwen3 32B