Continue

★★★★ 4.3
VS

DeepSeek

★★★★ 4.3
Feature Continue DeepSeek
Pricing Free only Free / from $0.14/mo
Free Plan ✓ Yes ✓ Yes
Rating 4.3 / 5 4.3 / 5
Best For developers, open-source-advocates, privacy-focused-devs, self-hosters developers, researchers, startups, cost-conscious-teams, ai-builders
Founded 2023 2023
Autocomplete
Chat
Inline Editing
Multi Model Support
Context Providers
Custom Commands
Code Generation
Reasoning
Api
Open Weights
1m Context
Tool Calls
Json Output

✓ Continue Pros

  • Fully open-source (Apache 2.0)
  • Works with any LLM provider
  • VS Code and JetBrains support
  • Local model support

✗ Continue Cons

  • Requires self-configuration of LLM
  • Less polished than Copilot
  • Setup can be complex for beginners

✓ DeepSeek Pros

  • Free web chat with no subscription required
  • Extremely cheap API pricing (up to 50x cheaper than competitors)
  • Strong reasoning and coding performance
  • Open-weight models available for self-hosting

✗ DeepSeek Cons

  • Data privacy concerns due to Chinese jurisdiction
  • Less polished chat interface than ChatGPT or Claude
  • Smaller plugin and integration ecosystem
  • Content moderation on sensitive political topics

The Verdict

Continue is built for developers and open source advocates, with a focus on autocomplete and chat. DeepSeek targets developers and researchers and leads with chat and code-generation.

Continue uses custom enterprise pricing, while DeepSeek starts at $0.14/mo — a tangible advantage for teams with a fixed budget.

Both offer free plans, so you can test each with your real workflow before committing to a subscription.

Feature-wise, DeepSeek offers broader built-in capabilities (8 features vs 6), while Continue takes a more focused approach — which can mean a simpler, faster onboarding experience.

Both tools are a solid fit for developers — in those cases, the decision often comes down to workflow style and how your team prefers to organize work.

This is a genuinely close comparison. If you can, sign up for both free trials (where available) and run a one-week test with your actual team tasks before deciding.

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