Comprehensive side-by-side LLM comparison
Qwen2.5-Omni-7B leads with 26.0% higher average benchmark score. Qwen2.5-Omni-7B supports multimodal inputs. Llama 3.1 8B Instruct is available on 9 providers. Overall, Qwen2.5-Omni-7B is the stronger choice for coding tasks.
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
Qwen2.5-Omni-7B is a multimodal language model developed by Alibaba Cloud / Qwen Team. The model shows competitive results across 45 benchmarks. It excels particularly in DocVQA (95.2%), VocalSound (93.9%), GSM8k (88.7%). 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 Cloud / Qwen Team's latest advancement in AI technology.
8 months newer
Llama 3.1 8B Instruct
Meta
2024-07-23
Qwen2.5-Omni-7B
Alibaba Cloud / Qwen Team
2025-03-27
Context window and performance specifications
Average performance across 60 common benchmarks
Llama 3.1 8B Instruct
Qwen2.5-Omni-7B
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
Qwen2.5-Omni-7B
Llama 3.1 8B Instruct
Qwen2.5-Omni-7B
Hyperbolic
Lambda
Sambanova
Together
Qwen2.5-Omni-7B