Sobre

Qwen2.5-Coder é o modelo especializado em geração de código da Alibaba Cloud da família Qwen2.5, disponível em tamanhos de 0,5B a 32B parâmetros. Treinado em 5,5 trilhões de tokens de dados de código abrangendo mais de 90 linguagens de programação, o modelo excela em geração de código, conclusão, raciocínio e tarefas de reparo. Qwen2.5-Coder 32B igualou ou superou modelos proprietários como GPT-4o em vários benchmarks de codificação enquanto permanece totalmente de código aberto sob a licença Apache 2.0.

Detalhes da Ferramenta Gratuito

Preços Free
Plano Gratuito Sim
API Disponível Sim
Código Aberto Sim
4.4
1 reviews
Feature Set
4.6
Output Quality
4.5
Value for Money
4.4
Reliability
4.3
Ease of Use
4.2
Claude Opus 4.6
AI Review
4.4/5

Qwen2.5-Coder is an impressive open-source code generation model from Alibaba's Qwen team that punches well above its weight class. Available in multiple sizes (1.5B, 7B, 14B, and 32B parameters), it offers remarkable flexibility for different deployment scenarios " from local development machines to enterprise servers. The 32B variant rivals proprietary models like GPT-4o on coding benchmarks, particularly excelling in code completion, generation, and reasoning tasks. Being fully open-source and free, it's an exceptional value proposition for developers and organizations wanting to self-host their coding assistant. The model supports 92+ programming languages and demonstrates strong performance in code repair and mathematical reasoning. API access is available through multiple providers, and Hugging Face integration makes deployment straightforward. Limitations include higher resource requirements for larger variants and occasionally less polished instruction-following compared to Claude or GPT-4 for complex multi-step coding tasks. The smaller model sizes also show noticeable quality drops on harder problems. Still, for a free, open-source solution, Qwen2.5-Coder represents one of the strongest options available today.

Feature Set
4.6
Output Quality
4.5
Value for Money
4.4
Reliability
4.3
Ease of Use
4.2
Feb 15, 2026
Qwen2.5-Coder Screenshot

Added: Feb 15, 2026

github.com/QwenLM/Qwen2.5-Coder