GitHub Copilotの料金まとめ【2026年7月】個人4プラン化とAIクレジット制をわかりやすく整理GitHub Copilot's individual plans were restructured into four tiers—Free, Pro…
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- 2026年6月以降、GitHub Copilotの個人向けプランはFree・Pro($10/月)・Pro+($39/月)・Max($100/月)の4段階に再編され、同時にAIクレジット制が導入された。
- この記事では各プランの違いとクレジット制の仕組みを整理している。
GitHub Copilot's individual plans were restructured into four tiers—Free, Pro ($10/mo), Pro+ ($39/mo), and Max ($100/mo)—alongside the introduction of an AI credit system in June 2026, making it important for users to understand which plan fits their usage.
要約と収集メタデータをもとに生成した AI 解説本文です。元記事全文の転載・翻訳ではありません。This AI explainer is generated from the summaries and collected metadata, not from a reproduction or translation of the full source article.
GitHubのAIコーディング支援サービス「GitHub Copilot」の個人向け料金体系が、2026年に入って大きく再編された。技術ブログ「zenn-copilot」の整理記事によれば、2026年7月時点で個人プランはFree(無料)、Pro(月額10ドル)、Pro+(月額39ドル)、Max(月額100ドル)の4段階に分かれ、あわせて6月1日から「AIクレジット制」が導入されたという。
記事は確認日を2026年7月29日とし、価格はGitHub公式サイトの米ドル表示にもとづくと明記している。円換算は1ドル=150円を目安とした参考値で、最新かつ正確な価格はGitHub公式での確認を促している。無料のFreeから最上位のMaxまで4段階に広がったことで、利用頻度や求める機能に応じて選択肢が細分化された形だ。
今回の再編で焦点となるのが、2026年6月1日に始まったAIクレジット制である。生成AIの利用、とりわけ高性能モデルの実行にはサーバー側の計算コストがかかる。クレジット制は、そうした処理量に応じた従量的な考え方を料金へ組み込む仕組みと見られ、上位プランほど割り当てられるクレジットが手厚くなる構成が想定される。ユーザーは月額だけでなく、クレジットの消費量という観点からも自分の使い方に合うプランを見極める必要が出てきたといえる。
2026年6月以降、GitHub Copilotの個人向けプランはFree・Pro($10/月)・Pro+($39/月)・Max($100/月)の4段階に再編され、同時にAIクレジット制が導入された。
背景には、AIコーディング支援市場全体の競争激化がある。CursorやAmazonのAI開発支援ツールなど周辺サービスでも、高度なモデルほど処理コストが増える構造は共通している。固定の月額料金と、利用量に連動した従量的な課金を組み合わせる方向は、業界全体の潮流になりつつあると見られる。Copilotの4段階化とクレジット制の併用も、こうした流れの一環として位置づけられる。
ただし記事は、あくまで公表情報の整理にとどまり、料金や仕様は今後変更される可能性がある。プランによって使えるモデルや機能、クレジットの適用範囲が異なることも考えられるため、実際の契約前にはGitHubの公式ページで最新の条件を確認することが望ましい。
GitHub Copilot's pricing has undergone a significant restructuring in 2026, and for anyone weighing the cost of an AI coding assistant, understanding the new shape of the plans matters as much as the tools themselves. As of late July 2026, GitHub's individual subscriptions are organized into four tiers, and a new "AI credit" model that began on June 1, 2026 now sits underneath them. This piece summarizes the current plan structure and how the credit system works, based on GitHub's official pricing displayed in US dollars, with yen figures given only as a rough guide at an assumed rate of 1 USD to 150 yen.
The headline change is that individual plans now span four levels rather than the simpler split of earlier years. At the bottom is Free, which carries no monthly charge. Above it sits Pro at 10 dollars per month, followed by Pro+ at 39 dollars per month, and finally Max at 100 dollars per month. Roughly translated at the stated rate, that places Pro near 1,500 yen, Pro+ around 5,850 yen, and Max at about 15,000 yen monthly. Because GitHub sets prices in dollars, the actual amount charged in other regions can shift with exchange rates and local billing, so the official site remains the authoritative reference for exact figures.
The tiered structure appears designed to separate casual users from heavy users more clearly than before. A free entry point lowers the barrier for developers who want to try Copilot's completions and chat features, while the paid steps up to Max are aimed at those who lean on the assistant throughout the working day. The wide gap between the 10 dollar Pro plan and the 100 dollar Max plan suggests GitHub is targeting distinct segments, from individual hobbyists to professionals who depend on the most capable models and the largest usage allowances.
The second major shift is the AI credit system introduced at the start of June 2026. Under this model, usage of certain premium capabilities is metered through credits rather than being treated as effectively unlimited. Each plan appears to include an allotment of credits, with higher tiers granting larger amounts, and the intent is likely to tie the cost of running more expensive model requests to the price of the plan. This kind of consumption-based layer has become common across the AI industry as providers try to align pricing with the real compute cost of large language models. Because specifics such as credit quantities and per-action consumption can change, users should confirm the current allowances directly through GitHub before committing to a plan.
For context, the move mirrors a broader trend among AI developer tools. Copilot competes with assistants such as Amazon's Q Developer, Google's Gemini Code Assist, Cursor, and a range of editor integrations built on models from providers like OpenAI and Anthropic. Many of these products have shifted toward multi-tier pricing and metered access as they expose more powerful, and more costly, models. The credit approach lets a vendor offer premium reasoning models without exposing itself to unbounded expense from a small number of extremely heavy users. It also gives customers a clearer signal about which features are cheap and which are resource intensive.
It is worth remembering that Copilot began as a single autocomplete-style tool built on OpenAI's Codex and has since expanded into chat, agent-style workflows, code review assistance, and integrations across the GitHub platform and popular editors. The layered pricing reflects that widening scope: as the assistant does more, GitHub has more reasons to differentiate what each subscription level unlocks. Enterprise and business plans exist separately from these individual tiers, so organizations evaluating Copilot at scale should treat the four consumer plans as only part of the overall lineup.
For individual developers, the practical takeaway is to match a plan to actual usage rather than defaulting to the cheapest or the most expensive option. Someone experimenting occasionally may find Free or Pro sufficient, while a developer relying on advanced models and higher credit limits throughout the day may justify Pro+ or Max. Given that both the prices and the credit rules were revised only recently and are quoted in dollars, checking GitHub's official pricing page for the latest details remains the safest way to avoid surprises on a monthly bill.
本ページの本文と要約は AI による自動生成です。日本語版と英語版は言語ごとに独立して生成されるため、表現や詳しさが異なる場合があります。正確性は元記事 (zenn.dev) をご確認ください。The body and summaries are AI-generated independently for each language, so wording and detail may differ. Verify accuracy at the original source (zenn.dev).





