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How Do You Chat, Compare Models, and Create Images in Sparkian?

A practical guide to Sparkian’s live chat and image features, model comparisons, file context, Spark usage, and listed plan limits.

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Sparkian is a multi-model AI workspace for chatting with different AI models and generating images. To use it, start a chat, choose a model, send a prompt, and compare or continue with the response that best fits your task. You can also add files or reusable knowledge, but keep an eye on Spark usage: the cost can rise with longer chat history and attachments.

Sparkian is the new name for Geekflare Chat. Its current documentation describes chat and image generation as available; audio, video, and agents are described as forthcoming, not usable features. See Sparkian’s current documentation for availability.

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Start a chat in Sparkian

Open Sparkian and begin a new conversation from the chat workspace. The exact landing page and controls may change, so use the current interface rather than relying on an older screenshot or menu label. Enter a focused prompt in the message field and submit it to start the conversation.

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Screenshot suggestion: capture the current chat screen with the new-chat control and prompt field visible. Remove account identifiers and any private content.

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Choose a model and compare its answer

Use the model picker to select a model for your prompt. Sparkian supports working with multiple models and comparing their responses side by side. Where the current account and interface offer that option, send the same prompt to more than one model, then compare the answers for accuracy, relevance, clarity, and usefulness.

When you have chosen a response or model, continue the conversation with it. Sparkian’s walkthrough also describes switching models within an existing conversation, so a different model can take up the thread when that better suits the next task. The vendor’s walkthrough describes these workflows; available controls can vary with the current interface.

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Screenshot suggestion: show the model picker and, if enabled in the account, the side-by-side response comparison.

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Add files or reusable knowledge

Chat about a file

For a task based on a document, use the file-chat control in the current interface to attach a small, non-sensitive example file and ask a question grounded in its contents. Check the response against the source document, especially for figures, quotations, or details that matter.

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Use the Knowledge Base

Sparkian’s Knowledge Base provides a place for reusable context. Add only material you are comfortable using in the service, and make sure the question makes clear which information the model should draw on. The official materials referenced here do not establish a guarantee that uploaded files are excluded from model training or inaccessible to the service provider; do not assume either.

Screenshot suggestion: use a harmless sample document, with personal or confidential information removed, and show the relevant upload or Knowledge Base controls only if they are present in the current account.

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Generate an image in a conversation

Image generation is documented as available in Sparkian. Start from a chat and use the image-generation option shown in the current interface, then describe the subject and the visual details you want. Before publishing a screenshot-led walkthrough, verify that the feature and the model or control shown are live in the account being captured; availability and labels can change.

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Screenshot suggestion: capture the actual prompt and resulting image from a current session. Avoid private prompts or account details.

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Understand Sparks and control usage

“Every Sparkian account runs on Sparks,” according to Sparkian Docs. Sparks are usage credits, not a fixed per-message price. The model panel may show an estimate such as “1+ Sparks / Request” or “25+ Sparks / Request”; the plus indicates an estimate, not a guaranteed charge. Actual usage depends on the model and the content processed. Longer conversation history and attachments can increase the amount used.

  • Start a fresh chat for a new topic so unrelated history is not included.
  • Choose a lighter model when it is adequate for the task.
  • Avoid adding unnecessary documents or retaining irrelevant context.

Sparkian’s memory documentation says recent-message retention can be adjusted from 0 to 50 messages and that a notice appears at around 20,000 tokens in an active conversation. These are documented settings and behavior, not a guarantee that every model or conversation will handle context identically. Check the memory and context documentation for current controls.

Compare Sparkian plans

The pricing page reviewed on October 7, 2026 lists the following monthly prices and allowances. Treat these as page-listed figures, not a permanent price list or a guarantee of availability in every billing currency. Confirm the current terms on Sparkian’s pricing page before choosing a plan.

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Plan Monthly price shown Monthly Sparks Seats Workspaces Knowledge Base
Free No monthly price stated 100 1 1 10 MB
Pro $19/month 10,000 2 2 100 MB
Business $49/month 25,000 5 5 250 MB
Scale $149/month 75,000 20 10 500 MB

The figures above are the allowances and limits stated on the reviewed pricing page; they do not establish that every model, web-search option, or history setting is identical across plans. Check the plan details in Sparkian’s current pricing information for any access or feature restriction relevant to your use.

A simple first-session checklist

  1. Open a new chat and choose a model.
  2. Submit a clear prompt; compare models if the option is available.
  3. Switch models or continue with the response that best serves the task.
  4. Attach a non-sensitive sample file or add reusable context only when it helps.
  5. Try image generation from the live interface if it is available to your account.
  6. Check the displayed Spark estimate and your plan’s current allowance before longer or attachment-heavy work.

Product prices and availability are accurate as of the date/time indicated and are subject to change. Any price and availability information displayed on Amazon at the time of purchase will apply.

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