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

Llama 3.1 8B Instruct
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.

Qwen2.5 VL 72B Instruct
Alibaba
Qwen2.5 VL 72B Instruct is a multimodal language model developed by Alibaba. It achieves strong performance with an average score of 66.9% across 30 benchmarks. It excels particularly in DocVQA (96.4%), Android Control Low_EM (93.7%), ChartQA (89.5%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents Alibaba's latest advancement in AI technology.

Llama 3.1 8B Instruct
Meta
2024-07-23

Qwen2.5 VL 72B Instruct
Alibaba
2025-01-26
6 months newer
Performance Metrics
Context window and performance specifications

Llama 3.1 8B Instruct

Qwen2.5 VL 72B Instruct
Performance comparison across key benchmark categories

Llama 3.1 8B Instruct

Qwen2.5 VL 72B Instruct
Llama 3.1 8B Instruct
2023-12-31
Provider Availability & Performance
Available providers and their performance metrics

Llama 3.1 8B Instruct
Sambanova
Together
Hyperbolic
DeepInfra
Fireworks
Groq
Bedrock
Lambda
Cerebras

Qwen2.5 VL 72B Instruct

Llama 3.1 8B Instruct

Qwen2.5 VL 72B Instruct