What are the key differences between Copilot Chat (Copilot Chat Interface) and Continue (with Ollama Backend)?

Compare Copilot Chat (Copilot Chat Interface) and Continue (with Ollama Backend) side by side on Lunoo to see detailed feature differences, AI scores, and expert analysis.

How are Copilot Chat (Copilot Chat Interface) and Continue (with Ollama Backend) scored?

Copilot Chat (Copilot Chat Interface) has an AI score of 6.5/10 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.

Copilot Chat (Copilot Chat Interface) vs Continue (with Ollama Backend) 2026 — Compared

Copilot Chat (Copilot Chat Interface)

Continue (with Ollama Backend)

WINNER Continue (with Ollama Backend)

Continue (with Ollama Backend) edges ahead with a score of 9.5/10 compared to 6.5/10 for Copilot Chat (Copilot Chat Inte...

Copilot Chat (Copilot Chat Interface)

6.5 Fair

Copilot Chat Interface

emoji_events WINNER

Continue (with Ollama Backend)

9.5 Brilliant

Jetbrains AI Local

psychology AI Verdict

Continue (with Ollama Backend) edges ahead with a score of 9.5/10 compared to 6.5/10 for Copilot Chat (Copilot Chat Interface). 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

description Overview

Copilot Chat (Copilot Chat Interface)

This refers to using Copilot's dedicated chat interface rather than just the inline completion. It allows developers to paste code and ask complex questions like, 'Why is this function slow?' or 'Refactor this to use async/await.' This conversational ability is a massive productivity booster for debugging and learning, complementing the raw completion suggestions.

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...