Comprehensive side-by-side LLM comparison
DeepSeek VL2 Tiny supports multimodal inputs. Qwen2.5 72B Instruct is available on 4 providers. Both models have their strengths depending on your specific coding needs.
DeepSeek
DeepSeek-VL2-Tiny was developed as an ultra-efficient vision-language model, designed for deployment in resource-constrained environments. Built to enable multimodal AI on edge devices and mobile applications, it distills vision-language capabilities into a minimal footprint for widespread accessibility.
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.
2 months newer

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

DeepSeek VL2 Tiny
DeepSeek
2024-12-13
Context window and performance specifications
Available providers and their performance metrics

DeepSeek VL2 Tiny

Qwen2.5 72B Instruct
DeepInfra

DeepSeek VL2 Tiny

Qwen2.5 72B Instruct

DeepSeek VL2 Tiny

Qwen2.5 72B Instruct
Fireworks
Hyperbolic
Together