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Context7 vs DeepWiki

Two fact sheets from our own research, side by side — pricing, platforms, API access and status re-checked by us rather than quoted from the vendors.

The short answer

Entry price
Context7 from $10/seat/mo, DeepWiki from $20/mo — different billing units, so no direct winner
Free plan
Both have one
Public API
Both have one
Best fit
Context7: Developers using AI editors with frameworks that change often, such as Next.js or Supabase · DeepWiki: Developers exploring an unfamiliar open-source codebase
Trust score
About even — Context7 86, DeepWiki 90

From our own records as of each tool's last check. Anything we have not confirmed is left out rather than guessed. How we verify

Context7Documentation service and MCP server that feeds version-specific library docs and code examples into AI coding assistants.DeepWikiTurns any public GitHub repo into a question-answerable wiki, built by the makers of Devin.

Side by side

FactContext7DeepWiki
CategoryMCP Servers & Tool ProtocolsDocumentation Generators
Pricing modelFreemiumFreemium
Starts at$10/seat/mo$20/mo
Public APIYesYes
Trust score86 / 10090 / 100
PlatformsWeb, APIWeb, API
CompanyUpstash, Inc.Cognition AI, Inc.
Launched2025—
Last verifiedOct 2, 2026Oct 14, 2026

What our research says

Context7

Context7 fixes a narrow but common annoyance: AI coding assistants quoting last year's API for a fast-moving library. It is quick to wire into Cursor, Claude Code and similar tools, and the free tier is enough for an individual developer. It only helps for libraries that are indexed and documented well, and it adds prompt tokens on every lookup.

Pros

  • Version-specific docs pulled from source rather than model training data
  • Works over MCP or via a CLI and skill, with one-command setup
  • Free tier plus a $10 per-seat Pro plan
  • Open-source code under MIT, built by Upstash

Cons

  • Free plan stops at 1,000 calls a month, with a small daily bonus allowance after that
  • Quality depends on how well each library's docs are indexed and ranked
  • Retrieved snippets consume context window space on every call

DeepWiki

DeepWiki is a genuinely useful shortcut for understanding an unfamiliar public codebase before diving into the source, and it costs nothing for that core use case. It only becomes a paid product the moment you need it on a private repository, where it quietly becomes a Devin subscription rather than its own product.

Pros

  • Completely free for public repositories, no account needed
  • Already indexed 50,000+ popular repositories
  • Conversational query interface instead of just static generated docs
  • Backed by a well-funded, actively developed company

Cons

  • Private-repo support requires a separate paid Devin subscription, not a standalone DeepWiki price
  • AI-generated documentation can misread intent in unusual or poorly-commented code
  • No indication of how often an indexed repo's docs are refreshed after the source changes

Which one fits

Choose Context7 if you need

  • Developers using AI editors with frameworks that change often, such as Next.js or Supabase
  • Teams that want agents to read their own private library docs
  • Anyone tired of hallucinated or deprecated API calls in generated code

Choose DeepWiki if you need

  • Developers exploring an unfamiliar open-source codebase
  • Teams wanting a queryable overview of a repo instead of reading raw source
  • Anyone already paying for Devin who wants the same treatment for a private repo

Context7 vs DeepWiki: the questions people ask

Is Context7 cheaper than DeepWiki?

They charge in different units, so there is no like-for-like answer: Context7 starts at $10/seat/mo, DeepWiki at $20/mo. Entry price is the lowest paid plan as we last verified it.

Does Context7 or DeepWiki have a free tier?

Both: Context7 has a free tier, and DeepWiki has a free tier.

Which has a public API, Context7 or DeepWiki?

Both ship a public API, so either can be built on; the fact table above shows the platforms each one runs on.

More comparisons

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