Cursor vs Windsurf: Context Window Compared [2026]

Cursor and Windsurf both fill their context windows in 1-3 hours of heavy development. The difference is not the window size—it is how they manage what goes into it. Cursor gives you explicit visibility (the percentage indicator). Windsurf uses Cascade, an agent that theoretically picks what is relevant. But both fail the same way: when you grep, search, or read files, the tool outputs are uncompressed and bloated. Cascade cannot fix the noise problem because Windsurf is using the same verbose MCP tools as everyone else.

Context window comparison: Cursor vs Windsurf

How Cursor manages context

Cursor shows you exactly what you are consuming: a percentage in the top-right. At 80%, you know you are running out of space. This visibility is good—you can start a new chat before hitting the wall. But Cursor does not automatically compress tool outputs. You manually manage context by clearing chats or referencing fewer files.

How Windsurf manages context via Cascade

Windsurf uses Cascade, an agent that tries to intelligently select which files and search results to include in context. It does not blindly include everything you ask for. In theory, this saves tokens by dropping irrelevant results. In practice, Cascade is conservative—it errs on the side of including too much to avoid missing important information. So you still hit limits fast with heavy tool usage.

What fills context fastest in both tools?

• ✓Large file reads: A 1000+ line file is 15k-25k tokens. Do 5 of those and you are at 75k-125k.
• ✓Grep with many matches: 50 matches = 15k-20k tokens (75% is paths and line numbers).
• ✓Codebase search: Searching across 100+ matching files returns 20k-40k+ tokens.
• ✓Composer history: Long conversations with many code suggestions accumulate fast.
• ✓Error logs and stack traces: Build output, test failures, and debug logs are verbose.

Real comparison: Same task, both tools

You ask both tools to "refactor the authentication module". Both fetch 3 files (~30k tokens raw). Cursor shows "52% context used". Windsurf does not show a meter, but Cascade silently drops one file to save space. Both tools still consume 30k of noisy tokens because the files themselves are uncompressed.

With Token Limits MCP on both: those 3 files compress from 30k to 6k tokens. Cursor shows "12% context used". Windsurf can include all the information with far less waste. Both tools go 3-5x further.

Verdict: Which is better for large codebases?

Cursor is better for visibility. Windsurf is better for hands-off management. But both hit limits with large codebases without compression. Cursor + Token Limits beats Windsurf + Cascade because compression fixes the root problem (noisy tools) while Cascade only manages symptoms.

How to extend both with Token Limits

Install Token Limits MCP on each tool. The 8 compressed MCP tools replace defaults on both. Cursor: .cursor/mcp.json. Windsurf: .windsurf/mcp.json. Same installation, same compression benefit.

1. npm install -g token-limits
2. For Cursor: Add to ~/.cursor/mcp.json
3. For Windsurf: Add to ~/.windsurf/mcp.json
4. Config: "token-limits": {"command": "token-limits", "args": ["mcp-server"]}
5. Restart both tools
6. Done. All file access and searches are now compressed 60-90%.