Ninja AI pricing, free plan and limits

Last updated: 2026-09-22

Ninja AI is an AI agent platform from NinjaTech AI built around SuperNinja, an autonomous agent that runs at roughly 3,000 tokens per second and executes multi-step tasks end to end, from building a website to running research, without losing project context between sessions when work resumes later.

About Ninja AI

Ninja AI is an all-in-one AI productivity platform built by NinjaTech AI, founded in October 2022 by former Google, Meta, and AWS engineers Babak Pahlavan, Sam Naghshineh, and Arash Sadrieh. The company has raised $28M in total funding from investors including Amazon Alexa Fund, Samsung Ventures, DCVC, and SRI Ventures.

SuperNinja is the platform's agentic layer: instead of answering one prompt at a time, it works through a task end to end and switches between the underlying models depending on which one fits the current step. NinjaTech AI benchmarks the system at up to 3,000 tokens per second, which it markets as roughly 10x faster than comparable multi-model platforms. The same subscription also bundles Deep Researcher 2.0 for cited research, an AI Scheduling Assistant, and a proprietary Ninja-LLM 3.0 (fine-tuned on Llama 3 70B) for code generation.

The bundled model roster spans Claude and Gemini alongside OpenAI's current flagship, so switching between them happens inside one thread instead of three separate logins. On the coding side, Ninja-LLM 3.0 sits in a crowded field next to dedicated agents like Cursor, Windsurf, Claude Code, and Devin; Ninja's pitch is breadth across chat, research and code rather than a purpose-built IDE. The image generation layer draws on FLUX and competes for the same quick-asset use case as Midjourney, while the writing tools sit closer to a general-purpose assistant than specialists like Grammarly or Writesonic. SuperNinja's workspace connectors cover GitHub, Salesforce, Jira and Slack directly, a narrower set than a dedicated automation layer like Zapier but one that needs no separate integration platform. For anyone weighing Ninja AI purely as a chat assistant, it sits in HokAI's AI chatbots directory alongside Microsoft Copilot and the other multi-model options.

Screenshots

Pricing

Ninja AI moved to a usage-based credit model in 2026, replacing the old flat per-plan request allowance. Free: $0, a limited one-time credit allowance, 1 parallel task. Pro: $25/month ($300/year billed annually), 2,500 credits/month, up to 5 seats with shared credits, 4 parallel tasks, 3M token context window.

Business: $50/month ($600/year billed annually), 5,000 credits/month, unlimited seats and parallel tasks, an intelligent infinite context window. Enterprise: custom pricing with SSO and dedicated support. Credits are consumed per task based on complexity, including image generation and free-tier chat, rather than a flat per-request cap.

Readers comparing this against a dedicated research subscription can see how the numbers stack up in HokAI's best AI for deep research guide, against coding-focused alternatives in the best AI models for local coding roundup, against a pure search tool in the best AI search engines list, and against low-code app builders in AI app builders with real pricing.

Key Features

• SuperNinja Agent: Autonomous task executor that builds websites and apps from natural language, manages files, switches models mid-task, and maintains a persistent project knowledge base so resumed sessions have no context loss.
• Multi-Model Access: A single subscription provides access to premium frontier models, including GPT-5.5, Claude Opus 4.8, and Gemini 3.1 Pro, in one interface, eliminating the need for multiple API accounts.
• Deep Researcher 2.0: Multi-hop research agent that aggregates information across multiple sources, identifies connections between search results, and returns cited outputs for complex analytical questions.
• AI Image Generation: Generates images using FLUX, GPT Image 2.0, and Nano Banana Pro with multiple aspect ratios and style options; usage draws from the plan's monthly credit pool rather than a separate unlimited allowance.
• AI Scheduling Assistant: Automates meeting scheduling by negotiating available times across participant calendars in different time zones, drafting and sending calendar invitations autonomously.
• Cross-Platform Native Apps: Available as native apps on iOS (15.1+), Android, macOS (M1+), Windows, and web, with state synchronization across devices so conversations and projects carry over between sessions.
• Built-In Workspace Connectors: Pro and Business plans connect natively to GitHub, Salesforce, Jira, and Slack, letting SuperNinja pull and act on data from these tools without a separate integration platform.

Pros

• Consolidates the subscriptions people already pay for separately, a chatbot, a research tool, and an image generator, into one login instead of three or four separate bills.
• Ships as native apps on iOS, Android, macOS, and Windows rather than a browser-only tool, which most single-model chat assistants still don't offer.
• SuperNinja's persistent project memory removes a real pain point: most chat-based assistants forget everything the moment you close the tab.

Cons

• SuperNinja's monthly credit allowance can feel tight in practice: multi-step jobs consume credits based on task complexity rather than a flat per-task charge, so heavy users may hit the cap before the month is over.
• Agents occasionally enter repetitive loops on ambiguous tasks, requiring manual intervention to reset the task context, which undermines the autonomous execution promise for unattended workflows.
• Third-party platform integrations are limited compared to alternatives like Zapier-connected AI tools, restricting SuperNinja's ability to trigger actions in external applications like HubSpot.

Visit Ninja AI Official Website