Free
$0Free plan available.
Ninja AI is an all-in-one AI agent designed to boost productivity by providing access to over 24 leading LLMs under one platform. It offers tools for research, writing, coding, image generation, file analysis, and scheduling. Users can try Ninja AI for free and access various AI models like DeepSeek V3, DeepSeek R1, OpenAI GPT-4o, Anthropic Claude 3.7 Sonnet, and Google Gemini Pro.
Sign up for a free Ninja AI account to access tools for research, writing, coding, image generation, scheduling, and file analysis. Start a chat to create new conversation threads and use Ninja Mode to orchestrate your preferred AI models.
Yes, Ninja AI provides a free plan that includes 6 tasks per day, covering writing, online research, code generation, and basic image generation.
No, a credit card is not required to try Ninja AI for free.
Ninja AI offers access to leading models including DeepSeek V3, DeepSeek R1, OpenAI GPT-4o, Anthropic Claude 3.7 Sonnet, and Google Gemini Pro, among others.
Paid plans provide unlimited daily tasks, file upload analysis, custom image settings, and access to up to 20 leading AI models.
Free plan available.
Use these comparison pages to understand the trade-offs between the models most relevant to Ninja AI.
Compare Gemini 1.0 Pro Deprecated and Gemini 1.5 Flash Deprecated across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus general-purpose AI workloads.
Compare Gemini 1.0 Pro Deprecated and Gemini 1.5 Flash Vision Deprecated across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus general-purpose AI workloads.
Compare Gemini 1.0 Pro Deprecated and Gemini 2.0 Flash across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.
Compare Gemini 1.0 Pro Deprecated and Gemini 2.5 Flash across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus long-context workloads.
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