Best Code LLMs in 2026
Top 10 Models for Developers & Code Generation
Whether you're generating boilerplate, debugging complex algorithms, or refactoring legacy code, the right code LLM can 10x your productivity. We rank the top 10 coding models by HumanEval, MBPP, and real-world developer workflows.
Coding Use Cases
Code Generation
Generate functions, classes, and modules from natural language descriptions. Best: DeepSeek Coder V2, Llama 3.1 405B.
Code Completion
Real-time IDE autocomplete with context awareness. Best: CodeLlama, StarCoder2, DeepSeek Coder Lite.
Code Review & Debugging
Analyze code for bugs, suggest fixes, and improve code quality. Best: Llama 3.1 405B, Qwen 2.5 Coder.
Refactoring & Migration
Refactor legacy code, migrate between languages, modernize codebases. Best: DeepSeek Coder V2, Mistral Large 2.
Top 3 Code Models
Top HumanEval score. Excels at complex multi-file refactoring and system design.
90.2%
HumanEval
84.0%
MBPP
Best all-rounder. Strong code generation with excellent general reasoning for complex tasks.
89.0%
HumanEval
82.5%
MBPP
Best mid-size coding model. Runs on a single high-end GPU with near-top performance.
88.4%
HumanEval
80.0%
MBPP
Complete Top 10
| # | Model | Size | HumanEval | MBPP | Context |
|---|---|---|---|---|---|
| #1 | DeepSeek Coder V2 DeepSeek · Python, JS, TS, Go, Rust, C++ | 236B (MoE) | 90.2% | 84.0% | 128K |
| #2 | Llama 3.1 405B Meta AI · All major languages | 405B | 89.0% | 82.5% | 128K |
| #3 | Qwen 2.5 Coder 32B Alibaba · Python, JS, Java, C++, Go | 32B | 88.4% | 80.0% | 32K |
| #4 | CodeLlama 70B Meta AI · Python, JS, TS, Java, C++ | 70B | 81.7% | 76.0% | 16K |
| #5 | StarCoder2 15B BigCode · 600+ languages | 15B | 72.6% | 68.0% | 16K |
| #6 | Llama 3.1 70B Meta AI · All major languages | 70B | 81.7% | 75.0% | 128K |
| #7 | Mistral Large 2 Mistral AI · Python, JS, TS, Java, Rust | 123B | 84.0% | 78.0% | 128K |
| #8 | Phi-3 Medium Microsoft · Python, JS, C++, Java | 14B | 78.0% | 72.0% | 128K |
| #9 | DeepSeek Coder V2 Lite DeepSeek · Python, JS, TS, Go, Rust | 16B (MoE) | 82.0% | 74.0% | 128K |
| #10 | CodeGemma 7B Google · Python, JS, Java, C++ | 7B | 65.0% | 60.0% | 8K |
Detailed Reviews
DeepSeek · 236B (MoE) · 128K context
Top HumanEval score. Excels at complex multi-file refactoring and system design.
90.2%
HumanEval
84.0%
MBPP
128K
Context
236B (MoE)
Parameters
Meta AI · 405B · 128K context
Best all-rounder. Strong code generation with excellent general reasoning for complex tasks.
89.0%
HumanEval
82.5%
MBPP
128K
Context
405B
Parameters
Alibaba · 32B · 32K context
Best mid-size coding model. Runs on a single high-end GPU with near-top performance.
88.4%
HumanEval
80.0%
MBPP
32K
Context
32B
Parameters
Meta AI · 70B · 16K context
Purpose-built for code. Infilling support for IDE completion. Excellent Python generation.
81.7%
HumanEval
76.0%
MBPP
16K
Context
70B
Parameters
BigCode · 15B · 16K context
Trained on The Stack v2. Best language coverage. Apache 2.0 licensed for commercial use.
72.6%
HumanEval
68.0%
MBPP
16K
Context
15B
Parameters
Meta AI · 70B · 128K context
Great balance of coding and general capability. Runs on 2 GPUs with 4-bit quantization.
81.7%
HumanEval
75.0%
MBPP
128K
Context
70B
Parameters
Mistral AI · 123B · 128K context
Strong coding with excellent multilingual code comments and documentation generation.
84.0%
HumanEval
78.0%
MBPP
128K
Context
123B
Parameters
Microsoft · 14B · 128K context
Punches way above its weight. Runs on a single consumer GPU with surprisingly good code quality.
78.0%
HumanEval
72.0%
MBPP
128K
Context
14B
Parameters
DeepSeek · 16B (MoE) · 128K context
MoE efficiency. Only 2.4B active params per token. Runs on laptops with strong coding.
82.0%
HumanEval
74.0%
MBPP
128K
Context
16B (MoE)
Parameters
Google · 7B · 8K context
Google's code specialist. Good for autocomplete and simple code generation. Easy to deploy.
65.0%
HumanEval
60.0%
MBPP
8K
Context
7B
Parameters
For maximum code quality: DeepSeek Coder V2 with its 90.2% HumanEval score is unmatched. For running locally: Qwen 2.5 Coder 32B delivers near-top performance on a single GPU. For IDE autocomplete: DeepSeek Coder V2 Lite runs on laptops with only 2.4B active parameters.
Pair these with our comparison guides: Llama 3 vs GPT-4 · Best Small LLMs · Best Open-Source LLMs