What are the key differences between CodeGPT (Local Mode) and Continue (with Ollama Backend)?

Compare CodeGPT (Local Mode) and Continue (with Ollama Backend) side by side on Lunoo to see detailed feature differences, AI scores, and expert analysis.

How are CodeGPT (Local Mode) and Continue (with Ollama Backend) scored?

CodeGPT (Local Mode) has an AI score of 6.8/10 and Continue (with Ollama Backend) has an AI score of 9.5/10. Scores are based on category fit, feature coverage, pricing signals, public reception, and recency.

CodeGPT (Local Mode) vs Continue (with Ollama Backend) 2026 — Compared

CodeGPT (Local Mode)

Continue (with Ollama Backend)

WINNER Continue (with Ollama Backend)

Continue (with Ollama Backend) edges ahead with a score of 9.5/10 compared to 6.8/10 for CodeGPT (Local Mode). While bot...

CodeGPT (Local Mode)

6.8 Fair

Jetbrains AI Local Get CodeGPT (Local Mode) open_in_new

emoji_events WINNER

Continue (with Ollama Backend)

9.5 Brilliant

Jetbrains AI Local Get Continue (with Ollama Backend) open_in_new

psychology AI Verdict

Continue (with Ollama Backend) edges ahead with a score of 9.5/10 compared to 6.8/10 for CodeGPT (Local Mode). While both are highly rated in their respective fields, Continue (with Ollama Backend) demonstrates a slight advantage in our AI ranking criteria. A detailed AI-powered analysis is being prepared for this comparison.

emoji_events Winner: Continue (with Ollama Backend)

verified Confidence: Low

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description Overview

CodeGPT (Local Mode)

CodeGPT offers a plugin-based approach to integrating various LLMs locally. Its strength lies in its ability to connect to a wide array of local endpoints, making it a versatile testing ground for developers who want to benchmark different local models against each other. It provides a robust chat interface alongside coding assistance, making it great for iterative problem-solving and documentatio...

Continue (with Ollama Backend)

Continue is a highly flexible extension that excels by acting as a universal interface for various local LLM backends, most notably Ollama. It allows developers to connect to models like CodeLlama or Mistral running locally, providing chat, context-aware completion, and file editing capabilities directly within the IDE. Its strength lies in its modularity and ability to switch models easily withou...