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AI coding assistants · September 2026 Edition

Windsurf vs Cursor

Zero of twelve models named Windsurf first on the direct prompt; two named Cursor. Windsurf was named by eleven of the twelve models and Cursor by twelve and Windsurf carries 26 labels and Cursor 52, so the shares are not directly comparable.

Windsurf

accepted challenger

Named in one category this edition.

Cursor

accepted challenger

Named in one category this edition.

First-choice share10%4%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate19%19%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#2#3A position in a field of 8; printed, not drawn.
Labels2652A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Windsurf reading right to left. Rank and label count are printed, not drawn.GitHub Copilot was named alongside these two in twelve of the twelve direct answers. GitHub Copilot vs Windsurf · GitHub Copilot vs Cursor

Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all twelve models, for a mid-market B2B company; rank is within the category; every quote names the model and the prompt it came from. Both figures come from the AI coding assistants page.

By framing

How many of the twelve models made each the first choice, per way of asking, and how many argued against it.
WindsurfFirst choices, of twelve modelsCursor
Direct021 against Cursor
Paraphrase101 against Cursor
Comparative15
Budget-constrained401 against Cursor
Scale-constrained00
Negative005 against Windsurf · 7 against Cursor
Bars are first choices, 0 to 12 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to twelve.

The direct prompt

The plain question, one answer per model, grouped by where Windsurf and Cursor stood in it.

Cursor first, Windsurf not the choice

2 of 12 modelsWindsurf was named in the answer but not as the choice, or not at all.
Mistral SmallCursor, GitHub Copilot alternatives: Claude Code
Llama 4 MaverickCursor, GitHub Copilot alternatives: Claude

Neither was the first choice, one was named

8 of 12 modelsThe answer put something else first and named one of the two as an alternative.
GPT-5.4 miniGitHub Copilot alternatives: Amazon Q Developer, Cursor
Perplexity SonarGitHub Copilot alternatives: Cursor, Sourcegraph Cody
Grok 4.1 FastGitHub Copilot alternatives: Amazon Q Developer, Cursor, Gemini Code Assist, Tabnine
DeepSeek V4 FlashGitHub Copilot alternatives: Amazon Q Developer, Cursor, Tabnine
Qwen 3.7 FlashGitHub Copilot alternatives: Cursor
Kimi K2GitHub Copilot alternatives: Tabnine, Windsurf
GLM 4.7 FlashXGitHub Copilot alternatives: Amazon Q Developer, Cursor, Tabnine
MiniMax M2.5GitHub Copilot alternatives: Claude, Claude Code, Cursor

Neither was named

2 of 12 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5Claude, GitHub Copilot
Gemini 3.5 FlashAugment Code alternatives: GitHub Copilot, Tabnine

Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.

By buyer segment

The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
Windsurf leads by nine points.
Windsurf19%#2 of 6
Cursor9%#3 of 6
The full small business standing →
Mid-marketThe figures above
Windsurf leads by six points.
Windsurf10%#2 of 8
Cursor4%#3 of 8
The full mid-market standing →
Enterprise
Level: the same share of first choices.
Windsurf0%#7 of 9
Cursor0%#9 of 9
The full enterprise standing →

What the models said about Windsurf

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.

“avoid standard free-tier or public instances of major AI coding assistants (such as GitHub Copilot standard, Cursor, or Windsurf)” Qwen 3.7 Flash · negative prompt · hard negative
“Listed among tools impacted by IDEsaster; vulnerable to the same chaining of prompt injection with IDE features” GLM 4.7 FlashX · negative prompt · hard negative
“Avoid: Free tiers of Copilot/Windsurf for proprietary code” DeepSeek V4 Flash · negative prompt · hard negative
“Codeium (Best Free Option) ... Codeium's free tier or GitHub Copilot's $10/month plan offer the best balance of cost and functionality.” Claude Haiku 4.5 · budget prompt · first choice
“recommend starting with GitHub Copilot ... or Codeium (for cost efficiency and privacy options) as pilots” Claude Haiku 4.5 · paraphrase prompt · first choice
“Windsurf is widely considered one of the best AI coding assistants for companies with a limited budget” Qwen 3.7 Flash · budget prompt · first choice

What the models said about Cursor

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.

“avoid standard free-tier or public instances of major AI coding assistants (such as GitHub Copilot standard, Cursor, or Windsurf)” Qwen 3.7 Flash · negative prompt · hard negative
“Over 30 vulnerabilities reported; 100% of tested AI IDEs were vulnerable to chained prompt injection and auto-approved tool calls” GLM 4.7 FlashX · negative prompt · hard negative
“Documented security incidents involving insufficient boundaries and autonomous actions” Kimi K2 · negative prompt · hard negative
“If you want a state-of-the-art, everyday editor that manages your entire workspace effortlessly: Go with Cursor.” Gemini 3.5 Flash · comparative prompt · first choice
“likely to be GitHub Copilot Business or Cursor Business, depending on the specific needs and budget” Llama 4 Maverick · direct prompt · first choice
“the best AI coding assistants are GitHub Copilot Business and Cursor Business” Mistral Small · direct prompt · first choice
Also compared

Comparisons are drawn for the top three products in each category. The output is the models' output; nothing here is a recommendation by the index.