Capability
Multimodal Code Understanding And Generation
20 artifacts provide this capability.
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1
Qwen2.5-Coder 32BModel47/100
via “multi-language code generation with 40+ language support”
Alibaba's code-specialized model matching GPT-4o on coding.
Unique: Trained on 5.5 trillion tokens with explicit heavy code data mixture across 40+ languages, achieving SOTA on McEval (65.9%) for multi-language code generation — most open-source models specialize in 5-10 languages or rely on language-agnostic patterns
vs others: Outperforms CodeLlama-34B and Mistral-Coder on multi-language benchmarks while maintaining competitive single-language performance with GPT-4o on HumanEval (92.7%)