The hidden cost of single-provider strategy
Most companies integrating AI into their workflows make the same choice: they select one LLM provider (usually OpenAI or Anthropic) and send all requests to that single provider. It's simple to set up, but it's also the most expensive strategy.
Why? Because 70% of enterprise LLM requests are simple tasks: summarize an email, rephrase a paragraph, classify a ticket, extract a date from a document. Using GPT-4o or Claude for these tasks is like taking a taxi to go 200 meters. It works, but the value for money is terrible.
The multi-model strategy in practice
Orkestr8's router automatically distributes requests across available models. Simple tasks go to budget models like Minimax M2.5 or local models via Ollama. Complex tasks — multi-step reasoning, long document analysis, code generation — route to premium models.
In practice, for a typical client (15-person SMB on the Pro plan), the distribution looks like this: 60% of requests to budget models, 25% to mid-range, and 15% to premium. The result is a 40% reduction in token costs, with no perceived quality difference for users.
Three concrete levers to reduce your costs
First lever: economy mode. Enabled from the dashboard, it forces the router to maximize savings. Simple tasks are systematically routed to the cheapest models. Average reduction observed: 30% on tokens.
Second lever: response caching. When an agent asks a question similar to a recent one, Orkestr8 serves the response from cache instead of making a new LLM call. This mechanism is invisible to users and saves an average of 15% additional tokens.
Third lever: context compression. Before each LLM call, the Orkestr8 engine compresses context by eliminating redundant information and summarizing previous exchanges. Fewer input tokens = lower costs, without losing relevant information.
The cost tracking dashboard
Transparency is at the heart of our approach. The Orkestr8 dashboard displays real-time consumption by provider, agent, and task type. You see exactly how much each agent costs, which models it uses, and how the router distributes requests.
Configurable alerts notify you when you approach your monthly quota (at 80% and 95%). And if you exceed it, no surprises: requests are paused (no automatic overage charges) and you can upgrade with one click.
Before and after Orkestr8
One of our clients previously used GPT-4o for all their email and CRM automation tasks. Their monthly bill was €450 for 5 users. After migrating to Orkestr8 on the Pro plan (€29/month), their total bill (subscription + additional tokens) dropped to €180 — a 60% reduction.
The secret isn't magic: it's intelligent routing that uses the right tool for the right job. Simple emails go through Minimax, complex analyses through Claude, and classification tasks through local models. Every token is spent at the right price.
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