Mavis is MiniMax's autonomous AI agent product. MiniMax, a Shanghai-based AI company founded in 2021, backed by Alibaba and publicly listed in Hong Kong since January 2026, launched the agent originally as "MiniMax Agent" and renamed it Mavis on May 13, 2026. The rebrand came alongside a multi-agent architecture upgrade that MiniMax describes internally as "MiniMax as a Jarvis."
The core pitch is that you give Mavis a complex, multi-step goal ("write a competitive analysis on e-commerce SaaS tools and build it into a slide deck"), and the agent handles the research, tool calls, file generation, and quality checking without you shepherding each step. That positions it squarely in the autonomous agent category alongside tools like Manus, rather than in the copilot-style category where Cursor or GitHub Copilot live.
As of June 2026, Mavis runs on MiniMax's M3 model (released June 1, 2026), which supports a 1-million-token context window and native multimodal input. The agent product and the M3 API share the same credit pool under a unified subscription.
Important context: MiniMax is a Chinese company. Data processed through Mavis may be stored on servers in mainland China and is subject to Chinese data protection law. MiniMax's privacy policy (last updated March 30, 2026) states that personal data may be transferred to countries with different data protection rules than your own. There is no publicly verified SOC 2 or ISO 27001 certification for the agent product at time of writing. Factor this in if you handle sensitive or regulated data.
What Mavis Can Do
Deep Research — a five-step built-in research skill (added June 2026) that searches the web, synthesises sources, and returns a structured report with citations.
Full-stack web app generation — Mavis can scaffold a functioning web application with authentication, database, serverless functions, and Stripe payment integration, then deploy it to a live URL. Generated code requires a security review before production use.
Presentation generation — PowerPoint-format slide decks with flexible layouts, exportable as PPTX files.
Document and data work — file uploads, spreadsheet analysis, multi-document summarisation, and code debugging.
MCP integrations — Mavis connects to external tools via Model Context Protocol: GitHub, Figma, Slack, Google Maps, and custom MCPs.
Agent Teams (new with Mavis rebrand) — instead of a single agent running a task, you can deploy a Leader-Worker-Verifier structure. Workers execute sub-tasks; a Verifier applies an adversarial quality check before output is accepted.
Scheduled tasks — queue Mavis to run tasks at set times, useful for recurring research or monitoring workflows.
Pricing (as of June 2026)
PlanPriceCreditsEstimated tasks Lightning (free)$01,000 (one-time, 3-day validity)~3 light tasks Basic$19/month~10,000~30 tasks (estimate only) Pro$69/month~40,000~120 tasks (estimate only) Ultra$120/monthNot publicly listedContact salesCritical disclaimer: Task estimates are MiniMax's own approximations. The company explicitly states credit consumption cannot be predicted or guaranteed. A single complex task (full-stack app, multi-source deep research report) can consume significantly more credits than the per-task average. Credits do not roll over between billing months.
Mavis vs. Manus
The most common comparison in early user discussions is Mavis against Manus AI. Both are general-purpose autonomous agent platforms. Manus is more polished for browser-based sequential task workflows and has direct local file system access. Mavis has stronger coding output (M3 scored 59.0% on SWE-Bench Pro), the Agent Teams architecture for long-horizon task reliability, native multimodal input, and MCP connectivity. For developer-adjacent tools in the Belreos catalog, see the Cursor and GitHub Copilot listings for coding-focused AI tools in the adjacent coding assistant category.
Verdict
Mavis is technically impressive and, on paper, one of the most complete autonomous agent platforms available at its price point. The M3 model gives it a credible coding foundation, the Agent Teams architecture is a genuinely smart solution to single-agent quality degradation, and the breadth of output types (code, research, slides, deployed apps) beats most competitors.
The problems are real: credit unpredictability makes it hard to budget, the product was meaningfully rebuilt in May 2026 so real-world durability is untested, and the Chinese data residency situation is an honest blocker for a significant slice of professional users.
If you are in a non-regulated industry and want to stress-test autonomous agents for coding-heavy workflows, the Lightning free tier (1,000 credits) is a reasonable first step. Commit to the $19/month Basic plan only after verifying your typical task actually fits within the estimated credit range, and budget for overruns.
FAQ
What is Mavis AI?
Mavis is an autonomous AI agent made by MiniMax (Shanghai, China) that handles deep research, full-stack web app generation, slide deck creation, and document analysis from a single prompt. It was renamed from MiniMax Agent on May 13, 2026, and runs on the M3 model as of June 2026.
How much does Mavis cost?
Mavis offers a free Lightning plan with 1,000 one-time credits (3-day validity). Paid plans start at $19/month (Basic, approximately 10,000 credits), $69/month (Pro, approximately 40,000 credits), and $120/month (Ultra). Credits are non-deterministic: a complex task may consume far more than the per-task average. Verify current pricing at minimax.io before subscribing.
Is Mavis the same as MiniMax?
Mavis is one product within the MiniMax ecosystem. MiniMax also runs a separate API platform, a coding-focused agent called MiniMax Code, and the M3 open-weight model. They share a credit pool under some plans but serve different use cases.
How does Mavis compare to Manus AI?
Manus is more polished for browser automation and sequential business workflows. Mavis has stronger coding capability (M3 SWE-Bench Pro: 59.0%), native multimodal input, and MCP tool integration. Both use unpredictable credit systems and require human review of outputs. Mavis's $19/month Basic plan is cheaper than Manus's comparable $40/month mid tier.
Is Mavis safe to use with sensitive data?
MiniMax is a Chinese company. Data processed through Mavis may be stored in mainland China and is subject to Chinese law. There is no published SOC 2, ISO 27001, or data residency guarantee for the agent product as of June 2026. Users in regulated industries (healthcare, finance, legal) should not use Mavis without explicit enterprise data processing agreements.
Does Mavis have a free tier?
Yes. New users receive 1,000 Lightning credits, valid for 3 days. This is enough for approximately 2-3 light tasks. It is not enough to test a full-stack app build.
- Broad output range: research, code, presentations, and deployed apps in one tool
- Agent Teams quality gate: adversarial Verifier role catches weak outputs before delivery on long tasks
- Strong underlying model: M3 scored 59.0% on SWE-Bench Pro (June 2026), ahead of GPT-4o class on coding
- Competitive pricing at the mid tier: $19/month undercuts comparable autonomous agent services
- MCP connectivity: connect external tools (GitHub, Figma, Slack, Google Maps) rather than closed ecosystem
- Credit consumption is unpredictable by design — MiniMax explicitly states it cannot predict or control usage
- Product naming is a mess: Mavis, MiniMax Agent, MiniMax Code, M2, M3 are related but distinct, blurring first-time use
- Data residency risk: Chinese company, data may be stored in mainland China, no SOC 2 or ISO 27001 published
- Human verification required throughout: research, code, and file-access tasks all carry explicit MiniMax warnings
- New product with thin real-world track record: meaningfully rebuilt May 2026, Agent Teams weeks old at time of writing
- Verbosity can burn credits fast: user reports describe 16,000+ tokens of internal "thinking" on moderate prompts
Credit consumption is unpredictable by design — MiniMax explicitly states it cannot predict or control usage. Product naming is a mess: Mavis, MiniMax Agent, MiniMax Code, M2, M3 are related but distinct, blurring first-time use.
