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.

Qwen2-VL-72B-Instruct
Alibaba
Qwen2-VL-72B-Instruct is a multimodal language model developed by Alibaba. It achieves strong performance with an average score of 75.8% across 15 benchmarks. It excels particularly in DocVQAtest (96.5%), VCR_en_easy (91.9%), ChartQA (88.3%). The model shows particular specialization in general tasks with an average performance of 82.2%. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents Alibaba's latest advancement in AI technology.

Qwen2-VL-72B-Instruct
Alibaba
2024-08-29

Llama 3.3 70B Instruct
Meta
2024-12-06
3 months newer
Performance Metrics
Context window and performance specifications

Llama 3.3 70B Instruct

Qwen2-VL-72B-Instruct
Performance comparison across key benchmark categories

Llama 3.3 70B Instruct

Qwen2-VL-72B-Instruct
Qwen2-VL-72B-Instruct
2023-06-30
Provider Availability & Performance
Available providers and their performance metrics

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

Qwen2-VL-72B-Instruct

Llama 3.3 70B Instruct

Qwen2-VL-72B-Instruct