Comprehensive side-by-side LLM comparison
Qwen3-235B-A22B-Instruct-2507 leads with 25.5% higher average benchmark score. Llama 3.2 3B Instruct offers 108.5K more tokens in context window than Qwen3-235B-A22B-Instruct-2507. Llama 3.2 3B Instruct is $0.92 cheaper per million tokens. Overall, Qwen3-235B-A22B-Instruct-2507 is the stronger choice for coding tasks.
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.
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Instruct-2507 is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 72.1% across 25 benchmarks. It excels particularly in ZebraLogic (95.0%), MMLU-Redux (93.1%), IFEval (88.7%). It supports a 147K token context window for handling large documents. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
10 months newer
Llama 3.2 3B Instruct
Meta
2024-09-25
Qwen3-235B-A22B-Instruct-2507
Alibaba Cloud / Qwen Team
2025-07-22
Cost per million tokens (USD)
Llama 3.2 3B Instruct
Qwen3-235B-A22B-Instruct-2507
Context window and performance specifications
Average performance across 38 common benchmarks
Llama 3.2 3B Instruct
Qwen3-235B-A22B-Instruct-2507
Available providers and their performance metrics
Llama 3.2 3B Instruct
DeepInfra
Qwen3-235B-A22B-Instruct-2507
Llama 3.2 3B Instruct
Qwen3-235B-A22B-Instruct-2507
Llama 3.2 3B Instruct
Qwen3-235B-A22B-Instruct-2507
Novita