Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
Llama 3.2 11B Instruct
Meta
Llama 3.2 11B Instruct is a multimodal language model developed by Meta. It achieves strong performance with an average score of 63.6% across 11 benchmarks. It excels particularly in AI2D (91.1%), DocVQA (88.4%), ChartQA (83.4%). It supports a 256K token context window for handling large documents. The model is available through 6 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents Meta's latest advancement in AI technology.
Qwen3-235B-A22B-Instruct-2507
Alibaba
Qwen3-235B-A22B-Instruct-2507 is a language model developed by Alibaba. 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'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 11B Instruct
Meta
2024-09-25
Qwen3-235B-A22B-Instruct-2507
Alibaba
2025-07-22
10 months newer
Performance Metrics
Context window and performance specifications
Llama 3.2 11B Instruct
Qwen3-235B-A22B-Instruct-2507
Average performance across 1 common benchmarks
Llama 3.2 11B Instruct
Qwen3-235B-A22B-Instruct-2507
Performance comparison across key benchmark categories
Llama 3.2 11B Instruct
Qwen3-235B-A22B-Instruct-2507
Llama 3.2 11B Instruct
2023-12-31
Provider Availability & Performance
Available providers and their performance metrics
Llama 3.2 11B Instruct
Sambanova
Together
DeepInfra
Fireworks
Groq
Bedrock
Qwen3-235B-A22B-Instruct-2507
Llama 3.2 11B Instruct
Qwen3-235B-A22B-Instruct-2507