Comprehensive side-by-side LLM comparison
DeepSeek VL2 Tiny supports multimodal inputs. Qwen2.5-Coder 32B 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 Coder 32B was developed as a specialized coding model, designed to excel at programming tasks with 32 billion parameters specifically optimized for code. Built to understand and generate code across multiple programming languages, it serves developers requiring advanced code completion, debugging, and explanation capabilities.
2 months newer

Qwen2.5-Coder 32B 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-Coder 32B Instruct
DeepInfra

DeepSeek VL2 Tiny

Qwen2.5-Coder 32B Instruct

DeepSeek VL2 Tiny

Qwen2.5-Coder 32B Instruct
Fireworks
Hyperbolic
Lambda