Code Llama
Meta open models for code.
★★★★★ 4.5 6,100 saves Starting price: Free
Tool information
Code Llama is Meta open model family for code generation and infilling.
Builders use it to power private assistants and research coding tasks.
In-depth review
Meta open models for code. Code Llama competes in the AI Code Assistants category, where our editors have reviewed 343 tools so far. It has been bookmarked by 6,100 readers, making it one of the most trusted options in its class. This in-depth review breaks down exactly where Code Llama shines, where it falls short, and who should choose it.
In real-world use, Code Llama's clearest strengths are Open Meta code models; Infilling and chat variants; Research friendly. These advantages matter most for Generating code, Infilling functions, Researching models, Building assistants — the exact workload Code Llama was designed around. Readers who prioritise these qualities consistently rank it among their favourites in AI Code Assistants.
No tool is perfect — before you commit, weigh License limits commercial use; Setup needs model hosting. Code Llama pricing starts at Free. Always confirm the latest plans on the official website, because prices change often. Because you can evaluate the full experience free of charge, Code Llama is a low-risk tool to try this week. Code Llama is a solid, well-reviewed choice in AI Code Assistants and deserves a place on your shortlist.
How Code Llama compares
Code Llama is rated 4.5 out of 5, above the AI Code Assistants category average of 4.5 across 343 rated tools. Its closest alternatives are Cursor, GitHub Copilot, Replit AI. Popular alternatives include Cursor, GitHub Copilot, Replit AI. Compare their pricing, ratings, and reviews before you decide.
Pricing
Code Llama pricing starts at Free. Always confirm the latest plans on the official website, because prices change often.
Frequently asked questions
10 editor-written answers about Code Llama.
Is Code Llama free?
Yes, weights are free under Meta Community License for research and commercial use with limits.
What is Code Llama?
Meta open models for code.
Is Code Llama free?
Yes — Code Llama offers free access (Free). Paid plans unlock higher limits and extra features.
How much does Code Llama cost?
Code Llama pricing starts at Free. Always confirm the latest plans on the official website, because prices change often.
How do I start using Code Llama?
Open the official website with the Visit Tool button on this page, create an account, and follow the onboarding steps. Most people are up and running within minutes.
What can I use Code Llama for?
Code Llama is commonly used for Generating code, Infilling functions, Researching models, Building assistants.
What are the main advantages of Code Llama?
Users most often highlight Open Meta code models; Infilling and chat variants; Research friendly.
Are there any downsides to Code Llama?
Keep in mind: License limits commercial use; Setup needs model hosting. Weigh these against your budget and needs.
Who is Code Llama best for?
Code Llama suits anyone working with AI Code Assistants — from beginners trying AI for the first time to professionals who rely on it every day.
Can I try Code Llama before paying?
Yes — you can try Code Llama free of charge (Free) before deciding on a paid plan.
What are good alternatives to Code Llama?
Popular alternatives include Cursor, GitHub Copilot, Replit AI. Compare their pricing, ratings, and reviews before you decide.
Pros and cons
Code Llama is a solid, well-reviewed choice in AI Code Assistants and deserves a place on your shortlist.
Code Llama is rated 4.5 out of 5, above the AI Code Assistants category average of 4.5 across 343 rated tools. Its closest alternatives are Cursor, GitHub Copilot, Replit AI.
Pros
- Open Meta code models
- Infilling and chat variants
- Research friendly
Cons
- License limits commercial use
- Setup needs model hosting
Reviews
Rating summary
Editor score★★★★★ 4.5/5
Visitor score☆☆☆☆☆ —/5 (0 reviews)
No visitor ratings yet — yours could be the first.
Combined ToolScore4.5/5
ToolScore blends 70% editor score with 30% visitor score once visitors have rated.
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