Khanmigo vs Gamma: Which Is Better for Teachers?

One question separates these tools instantly: who does the AI talk to? Khanmigo, Khan Academy's AI tutor and teaching assistant, talks to students, guiding them through problems with questions instead of answers. Gamma talks to no one; it builds things, turning a prompt into a designed presentation, document, or webpage. Choose Khanmigo to give students a guided tutor. Choose Gamma to produce polished decks fast.

Quick Answer: Khanmigo is the pick when your goal is student support: a Socratic AI tutor with pedagogical guardrails, free for U.S. teachers and about $4 per month for families as of 2026. Gamma is the pick when your goal is production speed: AI-generated presentations and documents from a one-line prompt. A tutor and a deck builder do not overlap, so the "versus" resolves by naming your actual gap.

Few comparisons in edtech pair two products this different. One comes from a nonprofit with a fifteen-year archive of practice problems; the other from a startup competing with PowerPoint. Yet teachers genuinely search for both in the same week, because both promise the same headline: AI that takes work off your plate. Which plate, though, is the whole question, and this guide answers it with each tool's real capabilities, real prices, and real limits.

The Fault Line: Student-Facing AI vs Teacher-Facing AI

Every classroom AI tool sits on one side of a line: either students interact with the AI, or only you do. That line decides the stakes, the vetting burden, and the payoff, before any feature list matters.

Khanmigo sits firmly on the student-facing side:

• The product is the conversation. A student stuck on a fraction problem chats with the tutor, which probes, hints, and asks for the student's next step.
• The stakes are pedagogical. A student-facing AI shapes how children learn to think, so guardrails, accuracy, and data practices carry real weight.
• The research bet is tutoring. A meta-analysis by Nickow, Oreopoulos, and Quan (2020) found tutoring among the most consistently effective interventions in education, and Kraft and Falken (2021) mapped how scaling it affordably is the central obstacle. AI tutoring is a direct run at that obstacle.

Gamma sits on the teacher-facing side:

• The product is the artifact. You describe what you need; it returns a designed deck, doc, or page you then edit.
• The stakes are professional. The worst realistic failure is a wasted evening or an embarrassing slide, not a student's misconception.
• The efficiency bet is prep time, the same pressure the Gallup and Walton Family Foundation (2025) survey quantified when weekly AI-using teachers estimated saving around six hours per week.

Name which side of the line your problem lives on, and you have mostly chosen your tool already.

Khanmigo: The Tutor That Withholds Answers

Khanmigo is Khan Academy's AI assistant, deliberately engineered to tutor rather than tell. Ask it to solve a problem and it declines, responding instead with the next guiding question, in the style its namesake Socrates would recognize.

How the student side works

The tutoring behavior is the product's identity. In practice, a student experience looks like this:

• Guided problem-solving. The AI asks what the student has tried, nudges toward the next step, and flags errors without fixing them outright.
• Integration with Khan Academy content, so tutoring connects to the platform's practice exercises and videos rather than floating free.
• Subject breadth with math depth. It covers humanities and science conversations, but its tightest integration follows Khan Academy's math-first DNA.
• Teacher visibility. Educator views let teachers see how students are using the tutor, a transparency layer general chatbots lack.

The teacher-assistant side

Khanmigo also fields a set of teacher tools, drafting lesson-plan outlines, generating question ideas, and helping with routine writing tasks. These are genuinely useful, though they are a companion feature set rather than the product's center of gravity; the tutor is the reason Khanmigo exists.

What Khanmigo costs as of 2026

The pricing is unusually friendly, courtesy of nonprofit economics. As of 2026, Khanmigo is free for U.S. teachers (supported through a Microsoft partnership announced in 2024), while learners and parents pay about $4 per month or $44 per year. District partnerships add rostering and administration at negotiated rates. Verify current terms at khanmigo.ai.

Where Khanmigo stops

Khanmigo tutors; it does not produce your classroom materials. Its honest limits:

• No polished artifact output. It will help brainstorm a lesson, but it does not hand you a formatted deck, worksheet, or printable exam.
• Guardrails can frustrate. The refusal to give answers, correct behavior for learning, occasionally frustrates students who need a worked example.
• Accounts required. Student use means rostering and district data agreements, the standard weight of any student-facing platform.

Gamma: The Deck Builder That Skips the Blank Page

Gamma is an AI generation tool that turns prompts into designed presentations, documents, and simple webpages. Type "a 10-slide introduction to the water cycle for Grade 5," and it drafts the deck: structure, text, layout, and imagery in one pass.

What it actually generates

Gamma's value is the distance it covers in the first sixty seconds. Its output spectrum:

• Presentations with coherent themes, generated images, and per-slide layouts.
• Documents and one-page sites, useful for handouts, unit overviews, and parent-facing pages.
• Restyling on command: swap themes, condense text, or regenerate a single card without rebuilding the deck.
• Exports to PowerPoint and PDF, so the result lands in the formats schools actually run.

What Gamma costs as of 2026

Gamma is freemium, metered by AI credits. As of 2026, the free tier grants a one-time credit allowance (enough to trial several generations) with "Made with Gamma" branding on output, while paid plans are publicly listed from roughly $8–10 per month, with higher tiers adding larger credit pools and features. Prices and credit rules shift, so confirm on gamma.app.

Where Gamma stops

Gamma knows design, not your curriculum. Its limits are the mirror image of Khanmigo's:

• No pedagogy. It does not know Grade 5 standards, misconception patterns, or what your class struggled with Tuesday; content arrives generic until you edit it.
• Facts need checking. Generated text can be confidently wrong, and a beautiful slide makes an error more convincing, not less.
• Nothing student-facing. There is no tutor, no practice, no feedback loop; students only ever see what you export.
• Credits meter heavy use. A teacher generating decks weekly will feel the free tier's ceiling quickly.

Khanmigo vs Gamma at a Glance

The side-by-side confirms how little these products overlap. Nearly every row is a strength facing a blank.

Read as a pair, the table gives the honest verdict: this is not a contest, it is a category boundary. The meaningful question is which category your week is missing.

What a Year Actually Costs

Annualized numbers make the budget conversation concrete, especially when one option is free. Here is the realistic yearly picture as of 2026, with the caveat that both vendors adjust plans and you should confirm before committing.

Two budget observations follow. First, Khanmigo's teacher tier is one of the few genuinely free student-support AIs from a major education organization, a direct consequence of Khan Academy's nonprofit structure and philanthropic funding. Free tiers from venture-backed startups are marketing; free tiers from nonprofits are mission, and that difference tends to show up in longevity.

Second, Gamma's real cost depends entirely on your deck volume. An occasional presenter may coast on the free allocation for a term; a four-prep teacher generating weekly will exhaust it in weeks. Track your actual credit burn during the trial and multiply honestly before comparing that number against the hours the tool saves you.

Neither price should be the deciding factor at these levels. A tool that removes a real weekly pain is worth $10 a month; a tool that does not is expensive at free, because the cost you actually pay is your setup time and attention.

Matching the Tool to the Gap in Your Week

Diagnose by symptom, and the choice takes a minute.

Symptoms that point to Khanmigo

• Your intervention list outruns your minutes. Students who need one-on-one help are not getting it, and the tutoring research (Nickow et al., 2020) says that help is exactly what moves them.
• Homework help at home is uneven. A $44-per-year tutor is a defensible family recommendation in a way a general chatbot is not.
• You want AI with a pedagogy, vetted for student use, with visibility into what students actually asked.

Symptoms that point to Gamma

• Deck production is eating planning periods. Four preps of presentations is a production problem, and production is Gamma's entire job.
• Your materials look dated and design skills are the bottleneck, not knowledge.
• You need parent-facing polish: newsletters-as-pages, open-house decks, unit overviews that look intentional.

The gap neither covers

Between tutoring and deck design sits the daily bulk of teacher prep: quizzes, worksheets, revision notes, and the collection and scoring of student work. Khanmigo will not print a differentiated worksheet; Gamma will not grade one. That middle band is where education-specific generators live. EduGenius, for example, can generate quizzes, flashcards, worksheets, slide decks, and revision notes, share assignments by link or QR code with no student login, and collect responses in a submissions inbox with auto-scoring, with AI grading on paid plans; its free tier needs no credit card. The full category map is in our 2026 buyer's guide to AI education tools, the drafting-versus-design split gets its own treatment in ChatGPT vs Slidesgo, and the grading-and-accessibility band is covered in Gradescope vs Speechify.

A sensible rollout order, if you adopt either

Sequence matters more with the student-facing tool, so the two rollouts look different. For Khanmigo, the deliberate path:

1. Use it yourself for two weeks with the teacher tools, so you understand the tutor's behavior before a student meets it.
2. Clear the data conversation with your school or district while you trial.
3. Introduce it to one class with explicit norms about what the tutor will and will not do.
4. Review the conversation logs weekly and adjust which assignments you attach it to.

For Gamma, the path is shorter because only you are exposed:

1. Generate three decks you actually need, not demos, during the free-credit window.
2. Time your edit pass on each; the tool's value is generation time minus correction time.
3. Decide on data, not vibes, whether the monthly fee beats your current slide workflow.

A hypothetical pairing, not a contest

Say you teach Grade 6 math. You could recommend Khanmigo to families as a homework-support option in your September newsletter, then use Gamma that same week to generate your unit-opening deck on ratios, editing its generic examples into ones using your school's cafeteria prices. Two tools, two gaps, zero overlap. The only budget question is whether each gap is worth its price tag, and with a free teacher tier on one side and free credits on the other, the audition costs nothing.

Related Reading

• AI Education Tools Compared: The 2026 Buyer's Guide
• The Best Free Alternative to TeachMate AI
• ChatGPT vs Slidesgo: Which Is Better for Teachers?
• Gradescope vs Speechify: Which Is Better for Teachers?
• Socratic by Google vs Canva for Education: Which Is Better for Teachers?
• Is ChatGPT FERPA Compliant? What Schools Need to Know