AI Indexes
IT AI Index
Index › Developer platform › AI coding › GitHub Copilot vs Windsurf
AI coding assistants · October 2026 Edition

GitHub Copilot vs Windsurf

Fourteen of fourteen models named GitHub Copilot first on the direct prompt; zero named Windsurf. GitHub Copilot was named by fourteen of the fourteen models and Windsurf by thirteen and GitHub Copilot carries 73 labels and Windsurf 34, so the shares are not directly comparable.

GitHub Copilot

endorsed leader

Named in two categories this edition.

Windsurf

accepted challenger

Named in one category this edition.

First-choice share75%14%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate11%9%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#1#2A position in a field of 9; printed, not drawn.
Labels7334A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, GitHub Copilot reading right to left. Rank and label count are printed, not drawn.Cursor was named alongside these two in eleven of the fourteen direct answers. GitHub Copilot vs Cursor · GitHub Copilot vs Amazon Q Developer · GitHub Copilot vs Tabnine

Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen 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 fourteen models made each the first choice, per way of asking, and how many argued against it.
GitHub CopilotFirst choices, of fourteen modelsWindsurf
Direct140
Paraphrase140
Comparative70
Budget-constrained771 against GitHub Copilot
Scale-constrained30
Negative107 against GitHub Copilot · 3 against Windsurf
Bars are first choices, 0 to 14 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to fourteen.

Across every category in the October 2026 Edition, GitHub Copilot and Windsurf were named in the same answer ninety-four times, of the 234 answers naming GitHub Copilot and the 97 naming Windsurf. In those answers Windsurf took the first choice fifteen times and GitHub Copilot fifty.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where GitHub Copilot and Windsurf stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
Claude Haiku 4.5
GPT-5.4 mini
Gemini 3.5 Flash
Perplexity Sonar
Grok 4.20
Mistral Small
DeepSeek V4 Flash
Llama 4 Maverick
Qwen 3.7 Flash
Kimi K2
GLM 4.7 FlashX
MiniMax M2.5
GPT-6 Luna
Muse Glimmer 30B
GitHub Copilot Windsurf first choice named as an alternative argued againstblank: not namedEach cell is one answer, GitHub Copilot on the left and Windsurf on the right.

The direct prompt

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

GitHub Copilot first, Windsurf an alternative

14 of 14 modelsWindsurf was named in the answer but not as the choice, or not at all.
Claude Haiku 4.5GitHub Copilot alternatives: JetBrains AI Assistant
GPT-5.4 miniGitHub Copilot alternatives: Cursor, JetBrains AI Assistant
Gemini 3.5 FlashGitHub Copilot alternatives: Augment Code, Cursor, Devin
Perplexity SonarGitHub Copilot alternatives: Augment Code, Claude Code, Cursor, Kilo Code
Grok 4.20GitHub Copilot alternatives: Amazon Q Developer, Cursor, Gemini Code Assist, Tabnine
Mistral SmallGitHub Copilot
DeepSeek V4 FlashGitHub Copilot alternatives: Cursor, Windsurf
Llama 4 MaverickGitHub Copilot alternatives: Claude Code
Qwen 3.7 FlashCursor, GitHub Copilot alternatives: Claude Code
Kimi K2GitHub Copilot alternatives: Amazon Q Developer, Cursor, Tabnine
GLM 4.7 FlashXGitHub Copilot alternatives: Cursor, Tabnine, Windsurf
MiniMax M2.5GitHub Copilot alternatives: Cursor, Windsurf
GPT-6 LunaGitHub Copilot alternatives: Cursor, Gemini Code Assist
Muse Glimmer 30BGitHub Copilot alternatives: Amazon Q Developer, Augment Code, Cursor

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
GitHub Copilot leads by forty-four points.
GitHub Copilot63%#1 of 7
Windsurf19%#2 of 7
The full small business standing →
Mid-marketThe figures above
GitHub Copilot leads by sixty-one points.
GitHub Copilot75%#1 of 9
Windsurf14%#2 of 9
The full mid-market standing →
Enterprise
GitHub Copilot leads by eighty-two points.
GitHub Copilot82%#1 of 9
Windsurf0%#7 of 9
The full enterprise standing →

What the models said about GitHub Copilot

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

“GitHub says it may use Copilot interaction data, including prompts, suggestions, and code snippets, to train and improve models for individual subscribers.” GPT-5.4 mini · negative prompt · soft negative
“GitHub may use individual subscribers’ interaction data—including prompts, outputs, code snippets, and context—to train models unless they opt out.” GPT-6 Luna · negative prompt · soft negative
“GitHub Copilot Free / Pro / Pro+ tiers. Training data opt-out required, deep IDE and repository integration increases exposure” Muse Glimmer 30B · negative prompt · soft negative
“The Safe & Scalable Choice: GitHub Copilot ... Go with GitHub Copilot if your priority is security, SSO compliance, and zero friction” Qwen 3.7 Flash · direct prompt · first choice
“Prefer autocomplete and chat plugins (like GitHub Copilot or Gemini Code Assist) for low-risk, low-autonomy use cases.” Mistral Small · negative prompt · first choice
“GitHub Copilot if you want the most established solution with strong security compliance and already use GitHub” MiniMax M2.5 · direct prompt · first choice

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 seven in this category shown.

“Cursor, Replit, Windsurf, OpenAI Codex. Named in the 43.1% unauthorized file operations taxonomy” Muse Glimmer 30B · negative prompt · soft negative
“Augment and Windsurf did not issue swift fixes, leaving their users temporarily exposed.” Gemini 3.5 Flash · negative prompt · soft negative
“Augment and Windsurf had not provided a fix update at the time of publication” GPT-6 Luna · negative prompt · soft negative
“Codeium – best free unlimited usage ... Zero budget / proof of concept: Codeium free unlimited + Amazon Q Developer free tier” Muse Glimmer 30B · budget prompt · first choice
“The best AI coding assistant for a company with a limited budget is Windsurf, which is priced at $15/month.” Llama 4 Maverick · budget prompt · first choice
“The Top Pick for $0 Budget: Codeium ... is the strongest option for a budget-conscious team” Qwen 3.7 Flash · budget prompt · first choice
Also compared

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