GitHub Copilot

GitHub's coding assistant and agents, now billed in AI Credits

Code & Dev Tools Freemium
Researched · Published · Reviewed
RECATOOLS Score
8.3 / 10
Capability
8
Value for money
8
Ease of use
9
ASEAN readiness
7
API quality
7
Founded
2021
HQ
San Francisco, California
Users
4.7m+ paid subscribers
Launched
Jun 2021
Developer
GitHub, Inc.

Overview

GitHub Copilot is GitHub's AI coding assistant: inline completions, chat, agent mode, a cloud agent that opens pull requests, code review and Copilot CLI, with models from Anthropic, OpenAI, Google and others. Since 1 June 2026 chat, agents and reviews draw on monthly GitHub AI Credits; completions stay unlimited on paid plans.

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Pricing

Pricing shown for reference only. These figures reflect RECATOOLS research as of 14 Oct 2026 and may be out of date or incomplete. This is not financial or purchasing advice — always confirm the current price on the provider’s official website before making any decision.

Free
$0
Individuals without an organisation seat
  • 2,000 inline suggestions a month
  • Limited chat and agent usage
  • Copilot CLI and agent mode in the IDE
Pro+
$39/month
7,000 AI Credits a month
  • Everything in Pro
  • Premium models, including Opus
  • Delegate tasks to third-party agents such as Claude and Codex (preview)
Max
$100/month
20,000 AI Credits a month
  • Everything in Pro+
  • Priority access to new models and features
  • Built for sustained agent workflows
Business
$19/seat/month
1,900 AI Credits per user, pooled across the organisation
  • Access, budget and policy controls
  • IP indemnity and data privacy
  • Cloud agent, code review and third-party agents
Enterprise
$39/seat/month
3,900 AI Credits per user; requires GitHub Enterprise Cloud
  • Everything in Business
  • Indexes the organisation's codebase for tailored answers
  • Copilot integrated into github.com

API pricing (pay as you go)

Model Input Cached input Output
GPT-5 mini $0.25 $0.025 $2
GPT-5.4 ≤272K input tokens; long-context tier is $5 / $0.50 / $22.50. $2.50 $0.25 $15
GPT-5.5 ≤272K input tokens. $5 $0.50 $30
GPT-5.6 Sol ≤272K input tokens; cache write $5.00. $4 $0.40 $20
GPT-5.6 Luna ≤200K input tokens; cache write $0.25. $0.20 $0.02 $1.20
Claude Haiku 4.5 Cache write $1.25. $1 $0.10 $5
Claude Sonnet 4.6 Cache write $3.75. $3 $0.30 $15
Claude Opus 5 Cache write $6.25. $5 $0.50 $25
Gemini 3.8 Flash Promotional price through 31 Dec 2026. $0.75 $0.075 $3.75
Grok 4.6 ≤200K input tokens. $2 $0.50 $6
MAI-Code-1.1-Flash $0.20 $0.02 $1.20

Rates in USD, per 1M tokens unless a row says otherwise. Since 1 Jun 2026, use beyond plan allowances is billed in GitHub AI Credits (1 credit = $0.01) at these rates; code completions are not billed in credits. Annual Pro/Pro+ plans left on legacy billing pay $0.04 per extra premium request. Checked 16 Sep 2026 against the provider’s price page.

Use cases

Auto-completing boilerplate code and repetitive patterns Generating unit tests from function signatures Explaining unfamiliar code or error messages in plain English

What you can produce with GitHub Copilot

  • Inline code completions and next-edit suggestions in VS Code, Visual Studio, JetBrains, Xcode, Eclipse, Neovim and Zed
  • Multi-file changes made by agent mode in the editor
  • Pull requests opened by the Copilot cloud agent from an assigned issue
  • AI reviews of pull requests on github.com and of file diffs in the editor
  • Terminal tasks, local commits and scripted runs through Copilot CLI
  • Work delegated to third-party agents such as Claude and Codex (Pro+ and Max, preview)
  • Organisation-wide credit pools, budgets and policies on Business and Enterprise
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RECATOOLS Verdict

For teams already on GitHub, Copilot is still the lowest-friction way to add AI to the whole workflow: completions in almost every major editor, agents that work from issues and open pull requests, reviews on github.com, a terminal client and a very wide choice of models. GitHub calls it the world's most widely adopted AI developer tool, and Microsoft reported 50 million users in July 2026.

The catch is cost predictability. Since June 2026 everything except completions is metered in AI Credits, with no free fallback model, so heavy agent use can outrun a $10 or $19 seat. Set budgets, start on Pro or Business, and check the opt-out for model training on individual plans.

Desk research by RECATOOLS from public sources, written with AI assistance — not a hands-on test. How we review

What we found

GitHub Copilot is GitHub's AI coding assistant, and in 2026 it is as much a set of agents as an autocomplete. It began as a technical preview on 29 June 2021, built with OpenAI's Codex model. Today it runs in VS Code, Visual Studio, JetBrains IDEs, Xcode, Eclipse, Neovim and Zed, in the terminal as Copilot CLI, on github.com, and in a desktop app for steering agents from issue to merge. Its cloud agent takes an assigned issue and opens a pull request, and paid plans can hand work to third-party agents such as Anthropic's Claude and OpenAI's Codex.

The biggest change this year was billing. On 1 June 2026 GitHub replaced premium requests with GitHub AI Credits, worth one cent each and charged on the tokens a model actually uses. Plan prices did not move: Pro is $10 a month and carries 1,500 credits, Pro+ $39 with 7,000, a new Max plan $100 with 20,000, and Business and Enterprise $19 and $39 per seat. Inline completions and next-edit suggestions stay unlimited on paid plans, but chat, agents, Copilot CLI and code review all draw on the allowance, and code review on private repositories also uses Actions minutes. The old fallback to a cheaper model is gone, so teams running long agent sessions on frontier models should budget on measured use, not the seat price.

The model picker is unusually broad, spanning Anthropic, OpenAI, Google, xAI, Kimi and Microsoft's own MAI-Code. Microsoft told investors in July 2026 that Copilot had 50 million users, free accounts included.

Two cautions. In March 2026 Copilot inserted product tips, one promoting Raycast, into about 11,000 pull requests it had edited; GitHub said there was no advertising deal and switched the tips off. And since 24 April, interactions on Free, Pro and Pro+ may be used to train GitHub's models unless the user opts out; Business and Enterprise data is excluded.

Compiled by RECATOOLS from public sources: vendor documentation and pricing, code repositories and published reporting.

Notable facts

  • GitHub Copilot was trained on billions of lines of public code from GitHub repositories, making it one of the largest code-trained models ever deployed.
  • In a controlled study, developers using Copilot completed coding tasks 55% faster than those without it.
  • GitHub Copilot was the first mainstream AI pair programmer — it launched 18 months before ChatGPT made the category famous.

Frequently asked questions

Not for most users. It costs $10/month for individuals. Free plans are available for verified students and open-source maintainers.
VS Code, Visual Studio, JetBrains IDEs (IntelliJ, PyCharm, etc.), Neovim, Azure Data Studio, and the GitHub web editor.
No. Copilot requires an internet connection to send code context to GitHub's servers for suggestions.
Copilot sees the code in your open editor files for context. For Business/Enterprise tiers, your code is not used to train the model.
It is a conversational interface within your IDE that lets you ask questions about code, request explanations, generate tests, and get debugging help.

About this listing

Researched on
Published on
Last reviewed

This entry was compiled from publicly available data including GitHub Copilot's official website, press releases, documentation, and reputable third-party publications. RECATOOLS is not affiliated with GitHub Copilot unless explicitly stated.

Data accuracy

Third-party AI tools update their pricing, features, availability, and policies frequently. Information here may be outdated by the time you read this — we make reasonable efforts to keep listings current, but cannot guarantee absolute accuracy.

For the latest details, please refer to GitHub Copilot directly →

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