Comprehensive side-by-side LLM comparison
Llama 3.1 70B Instruct leads with 10.7% higher average benchmark score. Qwen2.5-Omni-7B supports multimodal inputs. Llama 3.1 70B Instruct is available on 9 providers. Overall, Llama 3.1 70B Instruct is the stronger choice for coding tasks.
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-Omni 7B was created as a multimodal model supporting text, audio, and other modalities, designed to provide integrated understanding across diverse input types. Built with 7 billion parameters for efficient omni-modal processing, it extends AI capabilities beyond traditional text-only or vision-language boundaries.
8 months newer

Llama 3.1 70B Instruct
Meta
2024-07-23

Qwen2.5-Omni-7B
Alibaba Cloud / Qwen Team
2025-03-27
Context window and performance specifications
Average performance across 3 common benchmarks

Llama 3.1 70B Instruct

Qwen2.5-Omni-7B
Available providers and their performance metrics

Llama 3.1 70B Instruct
Bedrock
Cerebras
DeepInfra
Fireworks
Groq

Llama 3.1 70B Instruct

Qwen2.5-Omni-7B

Llama 3.1 70B Instruct

Qwen2.5-Omni-7B
Hyperbolic
Lambda
Sambanova
Together

Qwen2.5-Omni-7B