Pick primary and fallback models by task type | cheap bulk, coding, reasoning, embeddings, self-hosted | with blended monthly $ estimates from the OmniKit catalog.
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Route by task
Pick workloads to get primary + alternative models with blended $/mo estimates.
A model router recommender suggests primary and fallback models by task type — cheap bulk, coding, reasoning, embeddings, self-hosted — with blended monthly dollar estimates from the OmniKit catalog. It is a heuristic against list prices, not a live quality benchmark. You still eval the winner on your own prompts.
Do not send embeddings to chat models. Route those separately. Prefer a provider only if you already have a contract there.
Pick primary and fallback models by task type | cheap bulk, coding, reasoning, embeddings, self-hosted | with blended monthly $ estimates from the OmniKit catalog.
Select one or more task types, optionally prefer a provider, set monthly token volume, then review primary plus alternatives with estimated spend. Swap after your own quality evals. Catalog dollars are not quality scores.
Select one or more task types.
Optionally prefer a provider and set monthly token volume.
Review primary + alternatives with estimated monthly spend.
No. It is a heuristic against OmniKit’s pricing catalog and task labels. A cheaper model can fail your eval. Treat the table as a shortlist, then run your own golden set before you lock a route.
Embeddings, cheap classification, and hard reasoning have different price and quality curves. One flagship model for all of them usually overpays on bulk and underperforms on the hard cases. Split the route; keep a fallback.
A model router recommender suggests primary and fallback models by task type — cheap bulk, coding, reasoning, embeddings, self-hosted — with blended monthly dollar estimates from the OmniKit catalog. It is a heuristic against list prices, not a live quality benchmark. You still eval the winner on your own prompts.
Heuristic against OmniKit’s pricing catalog. Swap models after your own quality evals.
Map task types to primary/alternative models with blended $/mo estimates.
Calculators run on the numbers you enter in this tab. They do not upload a spreadsheet to OmniKit servers.
Keep measuring in the same cluster — or jump to the next decision.
Model Router Recommender lives at omnikitapp.net/tools/model-router-recommender. Pick primary and fallback models by task type | cheap bulk, coding, reasoning, embeddings, self-hosted | with blended monthly $ estimates from the OmniKit catalog. Use it as an operator page, then confirm invoices, policies, or published facts on the source. OmniKit does not sell detector evasion or ranking guarantees.
