Revolutionary developer-focused AI search engine that delivers instant, accurate answers to coding questions with working code examples and technical explanations, transforming how programmers research and solve problems.
An AI search engine made for programmers â ask coding questions and get instant, detailed answers with code examples.
Phind is a freemium AI-powered search engine in the Coding Agents category, purpose-built for software developers who need instant, cited answers to programming questions â free for basic use, with a $20/month Pro tier unlocking the full-speed Phind-70B model, higher GPT-4 and Claude quotas, and longer context windows. Rather than returning a page of blue links, Phind runs a live web search across documentation sites, GitHub repositories, Stack Overflow threads, and technical blogs, then synthesizes the results into a single answer that includes working code examples, step-by-step explanations, and inline citations linking back to every source it drew from. The platform's proprietary Phind-70B model â a 70-billion-parameter model fine-tuned from CodeLlama â scores 82.3% on the HumanEval benchmark and streams output at approximately 80 tokens per second, delivering GPT-4-class code quality at noticeably faster speeds. Ask about implementing OAuth in a Next.js app, debugging a segfault in a C++ build, or configuring Terraform modules for multi-region AWS deployments, and Phind delivers a complete, runnable solution with explanations of why each piece works and alternative approaches worth considering. Pro subscribers can also switch between Phind-70B, GPT-4, and Claude on a per-query basis, choosing the best model for the task at hand â Phind-70B for rapid iteration, Claude for long-context code review, GPT-4 for architectural reasoning â all within a single interface and subscription. The official VS Code extension brings this capability directly into the editor, letting developers highlight code, ask a question, and receive an answer in a side panel without breaking flow. Compared to GitHub Copilot at $10/month, which focuses on inline autocomplete within your IDE, Phind targets the research and debugging side of development â the moments when you need to understand why something is broken, learn a new API, or evaluate competing approaches. Compared to browsing Stack Overflow manually, Phind reads and ranks the same threads for you, saving the time spent opening multiple tabs and reconciling conflicting answers. The free tier includes unlimited queries on the default Phind model with a daily allowance of premium-model queries, making it a practical daily-use tool for students, hobbyists, and professionals who hit complex questions a few times a day.
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A 70B-parameter model fine-tuned from CodeLlama specifically for programming tasks, scoring 82.3% on HumanEval and running at ~80 tokens/second. It is the default model for Pro users and optimized for code quality over general conversation.
Use Case:
Use for sustained coding sessions where both accuracy and response speed matter â debugging, writing new modules, or iterating on implementation approaches without waiting on slower frontier models.
Every query triggers a live web search across documentation, GitHub, and community forums, and the model synthesizes cited answers from the retrieved content. This keeps responses current with library and framework updates rather than frozen at a training cutoff.
Use Case:
Look up behavior of a library version released last week, or check whether a known bug has a recent workaround, without needing the model to have seen that content in training.
Pro users can swap between Phind-70B, GPT-4, and Claude Sonnet/Opus on a per-query basis, choosing the right tool for the job. Free users get the default Phind model plus limited access to the premium models.
Use Case:
Use Phind-70B for fast iteration, switch to Claude for long-context code review across multiple files, and use GPT-4 for nuanced architecture discussions â all in one interface.
Official VS Code extension opens a Phind panel inside the editor, letting you query with selected code as context and copy answers directly into your files. It complements rather than replaces autocomplete tools like Copilot.
Use Case:
Ask questions about the file you are currently editing without switching to a browser tab, speeding up debugging and exploration workflows during focused coding sessions.
Every generated answer displays the specific web pages â docs, GitHub issues, blog posts, Stack Overflow threads â that informed the response, with clickable links. This makes verification fast and provides a path to deeper reading.
Use Case:
Trust but verify: when Phind suggests a solution, click through to the original Stack Overflow answer or official doc to confirm before committing the code, which is critical for production work.
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In early 2026 Phind expanded its multi-model roster to include Claude Opus and Sonnet alongside GPT-4, giving Pro subscribers per-query model switching across three provider families. The VS Code extension received an update improving context passing from open editor tabs, and the free tier's daily premium-model quota was increased.
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