Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. Qwen2-VL-72B-Instruct supports multimodal inputs. Llama 3.1 8B Instruct is available on 9 providers. Both models have their strengths depending on your specific coding needs.
Meta
Llama 3.1 8B Instruct is a language model developed by Meta. It achieves strong performance with an average score of 61.3% across 18 benchmarks. It excels particularly in GSM-8K (CoT) (84.5%), ARC-C (83.4%), API-Bank (82.6%). It supports a 262K 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.
Alibaba Cloud / Qwen Team
Qwen2-VL-72B-Instruct is a multimodal language model developed by Alibaba Cloud / Qwen Team. 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%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
1 month newer
Llama 3.1 8B Instruct
Meta
2024-07-23
Qwen2-VL-72B-Instruct
Alibaba Cloud / Qwen Team
2024-08-29
Context window and performance specifications
Average performance across 33 common benchmarks
Llama 3.1 8B Instruct
Qwen2-VL-72B-Instruct
Qwen2-VL-72B-Instruct
2023-06-30
Llama 3.1 8B Instruct
2023-12-31
Available providers and their performance metrics
Llama 3.1 8B Instruct
Bedrock
Cerebras
DeepInfra
Fireworks
Groq
Llama 3.1 8B Instruct
Qwen2-VL-72B-Instruct
Llama 3.1 8B Instruct
Qwen2-VL-72B-Instruct
Hyperbolic
Lambda
Sambanova
Together
Qwen2-VL-72B-Instruct