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

Llama 3.1 405B Instruct
Meta
Llama 3.1 405B Instruct is a language model developed by Meta. It achieves strong performance with an average score of 79.2% across 18 benchmarks. It excels particularly in ARC-C (96.9%), GSM8k (96.8%), API-Bank (92.0%). It supports a 256K token context window for handling large documents. The model is available through 8 API providers. Released in 2024, it represents Meta's latest advancement in AI technology.

Qwen2.5 VL 7B Instruct
Alibaba
Qwen2.5 VL 7B Instruct is a multimodal language model developed by Alibaba. It achieves strong performance with an average score of 64.5% across 32 benchmarks. It excels particularly in DocVQA (95.7%), Android Control Low_EM (91.4%), MobileMiniWob++_SR (91.4%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. 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 3.1 405B Instruct
Meta
2024-07-23

Qwen2.5 VL 7B Instruct
Alibaba
2025-01-26
6 months newer
Performance Metrics
Context window and performance specifications

Llama 3.1 405B Instruct

Qwen2.5 VL 7B Instruct
Performance comparison across key benchmark categories

Llama 3.1 405B Instruct

Qwen2.5 VL 7B Instruct
Provider Availability & Performance
Available providers and their performance metrics

Llama 3.1 405B Instruct
Together
Hyperbolic
DeepInfra
Fireworks
Bedrock
Lambda
Replicate

Qwen2.5 VL 7B Instruct

Llama 3.1 405B Instruct

Qwen2.5 VL 7B Instruct