GitHub Copilot vs Tabnine
Fourteen of fourteen models named GitHub Copilot first on the direct prompt; zero named Tabnine. GitHub Copilot was named by fourteen of the fourteen models and Tabnine by eleven and GitHub Copilot carries 73 labels and Tabnine 33, so the shares are not directly comparable.
Named in two categories this edition.
Named in two categories this edition.
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
GitHub CopilotFirst choices, of fourteen modelsTabnine
Across every category in the October 2026 Edition, GitHub Copilot and Tabnine were named in the same answer 116 times, of the 234 answers naming GitHub Copilot and the 119 naming Tabnine. In those answers Tabnine took the first choice sixteen times and GitHub Copilot sixty-nine.
Every model, every framing
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | | | | | | |
| GPT-5.4 mini | | | | | | |
| Gemini 3.5 Flash | | | | | | |
| Perplexity Sonar | | | | | ||
| Grok 4.1 Fast | | | | | | |
| 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 Tabnine first choice named as an alternative argued againstblank: not namedEach cell is one answer, GitHub Copilot on the left and Tabnine on the right.The direct prompt
GitHub Copilot first, Tabnine an alternative
14 of 14 modelsTabnine was named in the answer but not as the choice, or not at all.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
GitHub Copilot63%#1 of 7Tabnine2%#4 of 7GitHub Copilot75%#1 of 9Tabnine2%#5 of 9GitHub Copilot82%#1 of 9Tabnine9%#2 of 9What 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 Tabnine
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.
“on-prem / local models such as Tabnine are repeatedly called out as the privacy champion because your code never leaves your infrastructure” Muse Glimmer 30B · negative prompt · first choice
“Prefer privacy-first tools like Tabnine (which can run locally/air-gapped and is trained only on permissively licensed code)” DeepSeek V4 Flash · negative prompt · first choice
“I'd start with Amazon CodeWhisperer or Tabnine since they're free” MiniMax M2.5 · budget prompt · first choice
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.