LLM Model Selection (High Impact)
The strongest impact on your bill. Using Claude Sonnet or ChatGPT for basic support is a common mistake. Use the default Swiftask model for routine tasks.
The Swiftask Cost Center is the financial governance system for your AI usage. A credit is the universal unit that measures every AI operation on the platform.
Consumption depends on the chosen LLM model, the length of the conversation, and the number of active skills. Savings of up to 40% are possible by applying the best practices described on this page.












































































































One credit = one unit of AI power. Here is exactly what makes up each interaction with a Swiftask agent.
The strongest impact on your bill. Using Claude Sonnet or ChatGPT for basic support is a common mistake. Use the default Swiftask model for routine tasks.
Each new message includes the entire previous history. Beyond 20 messages, the cost per message skyrockets. Start a new session as soon as the context changes.
Each activated skill consumes additional credits with every call. Only activate what the agent strictly needs for its primary mission.
Drawn directly from the experience of our clients who have reduced their costs by up to 40%.
Beyond 20 messages, the history weighs heavily on each request. Close the conversation and start over: your agent doesn't need to remember everything.
Premium models (Claude, ChatGPT) only for complex tasks. Summaries, FAQs, rewording: default Swiftask model. This single action can reduce costs by 40%.
A generalist agent consumes more and produces less accurate results. Create specialized agents: support, analysis, writing, research.
Each activated skill = additional cost per call, even if it's not used. Deactivate everything that isn't essential to the primary mission.
A vague prompt generates costly back-and-forth exchanges. A clear prompt delivers the right answer on the first try. Remove any repetition and unnecessary context.
Drawn directly from the experience of our clients who have reduced their costs by up to 40%.
If Swiftask is embedded in your organization, switch to annual billing. The savings on the Pro plan can reach up to 25%. It's the simplest discount there is.
A knowledge base import at depth 3+ consumes massively. Limit it to depth 1 or 2. Upload targeted documents rather than scraping an entire site.
Uploading a 200-page document all at once: costly and inefficient. Split it into thematic sub-sections and create specialized agents per domain.
Prompts that work → save them in the Swiftask library. Share them with the entire team to avoid unnecessary iterations.
Analyze the consumption dashboard at least once a month. Identify agents over budget, overused models, and adjust accordingly.
Swiftask Cost Control gives you all the levers to manage spending in real time, without slowing down your teams.
Set a spending cap. The agent stops gracefully when the limit is reached. Resets every night.
Prevent a single user from consuming the entire team budget. The admin sets individual quotas.
Receive an in-app notification before reaching your limit. Set a threshold per agent.
Each user sees their consumption in real time: by agent, by LLM model, and by day.
The admin sees who is consuming what, with a complete audit log and automatic alerts.
Proactive email alerts before reaching your thresholds. Export billing data.
Annual billing is the simplest cost-reduction strategy. Save up to 25% on the Pro plan.
Parfait pour l'entrepreneur solo
1 Utilisateur / mois Facturé annuellement
Parfait pour les petites équipes
10 Utilisateurs / mois Facturé annuellement
Pour les équipes en croissance
50 Utilisateurs / mois Facturé annuellement
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Three main factors influence consumption: the chosen LLM model (premium models like Claude or ChatGPT cost more), the length of conversations (the history accumulates with each message), and the number of active skills on your agents, even if they are not used on every call.
Apply three immediate actions: switch to the default Swiftask model for routine tasks (around -40%), start a new session after 20 messages, and disable non-essential skills on each agent.
No, thanks to Cost Control. The admin can set monthly caps per user and daily budgets per agent. Once the limit is reached, the agent stops gracefully without blocking other team members.
No, the credits included in your plan are renewed each month and are not carried over. That’s why it’s important to size your plan accurately and purchase additional credits as needed.
The cost varies depending on the model multiplier. The default Swiftask model is the most cost-efficient. Premium models (Claude Sonnet, GPT-4, Gemini Ultra) have a higher multiplier. Use them only for complex tasks requiring advanced reasoning.
Each user has a dashboard showing real-time consumption: by agent, by LLM model, and by day. Admins have a 360° workspace view with a complete audit log and can export the data.
No. The system sends proactive alerts (in-app and by email) before reaching the configured thresholds. The user is notified in advance and can adjust their usage. Blocking only occurs once the limit is actually reached.
Yes. Workspace administration allows you to define separate budgets and track consumption by usage type. You maintain full visibility over credits used internally versus those consumed by public agents.
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