Code-Generating Neural Networks

Топ-10 Code-Generating Neural Networks

№	Model Name	Developer	Parameters (Est.)	Languages	Speed	Price	Memory / Requirements
1	DeepSeek-Coder V2	DeepSeek	~33B	Python, Java, C++, Rust, JS, Go	High	API (Paid)	Moderate (~15–20 GB VRAM)
2	Codestral MoE	Mistral AI	~56B (MoE)	Python, JS, Java, SQL, Rust	Very High	API (Paid)	High (~24+ GB VRAM)
3	Qwen-Coder 72B	Alibaba Cloud	72B	Python, Java, JS, C++, TS	Medium	API (Paid), ModelScope	Very High (~40+ GB VRAM)
4	Code Llama 34B	Meta	34B	Python, C++, Java, Rust, JS	Medium	Free (Open-source)	Moderate (~20 GB VRAM)
5	StarCoder2	BigCode (HuggingFace)	20B	80+ languages	High	Free (Open-source)	Low (~8–12 GB VRAM)
6	OpenAI Codex	OpenAI	~120B	Python, JS, TypeScript, Bash	Medium	API (Paid, Limited Access)	Very High (~60+ GB VRAM)
7	GitHub Copilot X	GitHub + OpenAI	~12B+	20+ languages	High	Subscription ($10/mo)	Depends on GPT model
8	PanGu-Coder++	Huawei	~TBA	Python, Java	Medium	API (Paid)	Moderate (~15 GB VRAM)
9	Phind Code LLM	Phind	~TBA	Python, JavaScript	High	Free (Non-commercial Use)	Low (~8 GB VRAM)
10	Replit Code-3B	Replit	3B	JavaScript, Python	Very High	Free (Open-source)	Very Low (<4 GB VRAM)

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Notes:

Speed

• Based on benchmarks like HumanEval and MBPP.

• Depends on architecture, optimization, and model size.

Price

• Free (open-source) — can be downloaded and used at no cost.

• API (paid) — available via cloud platforms with usage-based pricing or subscriptions.

• Subscription — monthly payment for access (e.g., GitHub Copilot).

Memory / Requirements

• Low: < 8 GB VRAM

• Moderate: 8–20 GB VRAM

• High: > 20 GB VRAM