Comprehensive side-by-side LLM comparison
Qwen2.5 72B Instruct leads with 8.7% higher average benchmark score. Llama 3.2 90B Instruct offers 116.7K more tokens in context window than Qwen2.5 72B Instruct. Both models have similar pricing. Llama 3.2 90B Instruct supports multimodal inputs. Overall, Qwen2.5 72B Instruct is the stronger choice for coding tasks.
Meta
Llama 3.2 90B was developed as a flagship-tier open-source model, designed to provide advanced capabilities with 90 billion parameters. Built to serve applications requiring high-quality reasoning and generation, it represents a powerful option within the Llama 3.2 series for demanding tasks.
Alibaba Cloud / Qwen Team
Qwen 2.5 72B was developed as the flagship text model in the Qwen 2.5 series, designed to provide advanced language capabilities with 72 billion parameters. Built to compete with frontier models in reasoning, coding, and general language tasks, it represents Qwen's most capable instruction-following model in this generation.
6 days newer

Qwen2.5 72B Instruct
Alibaba Cloud / Qwen Team
2024-09-19

Llama 3.2 90B Instruct
Meta
2024-09-25
Cost per million tokens (USD)

Llama 3.2 90B Instruct

Qwen2.5 72B Instruct
Context window and performance specifications
Average performance across 2 common benchmarks

Llama 3.2 90B Instruct

Qwen2.5 72B Instruct
Available providers and their performance metrics

Llama 3.2 90B Instruct
Bedrock
DeepInfra
Fireworks
Hyperbolic
Together

Llama 3.2 90B Instruct

Qwen2.5 72B Instruct

Llama 3.2 90B Instruct

Qwen2.5 72B Instruct

Qwen2.5 72B Instruct
DeepInfra
Fireworks
Hyperbolic
Together