Comprehensive side-by-side LLM comparison
Qwen2.5 VL 72B Instruct supports multimodal inputs. Llama 3.1 70B Instruct is available on 9 providers. Both models have their strengths depending on your specific coding needs.
Meta
Llama 3.1 70B was created as a balanced open-source model, designed to provide strong performance with 70 billion parameters while remaining practical for many deployment scenarios. Built to serve as a versatile foundation for fine-tuning and application development, it combines capability with accessibility in the open-source ecosystem.
Alibaba Cloud / Qwen Team
Qwen2.5-VL 72B was created as the flagship vision-language model in the Qwen 2.5 series, designed to provide advanced multimodal understanding. Built with 72 billion parameters optimized for visual and textual reasoning, it represents Qwen's most capable offering for tasks requiring integrated image and language processing.
6 months newer

Llama 3.1 70B Instruct
Meta
2024-07-23

Qwen2.5 VL 72B Instruct
Alibaba Cloud / Qwen Team
2025-01-26
Context window and performance specifications
Available providers and their performance metrics

Llama 3.1 70B Instruct
Bedrock
Cerebras
DeepInfra
Fireworks
Groq

Llama 3.1 70B Instruct

Qwen2.5 VL 72B Instruct

Llama 3.1 70B Instruct

Qwen2.5 VL 72B Instruct
Hyperbolic
Lambda
Sambanova
Together

Qwen2.5 VL 72B Instruct