Perplexity Adds Cross-Model Credit Tracking in Analytics

Perplexity introduced Computer Analytics that tracks credit spend across multiple AI models from a single dashboard.

The update is live for both individual and enterprise accounts. Users reach the feature through the Analytics tab inside account settings.

The change addresses a common pain point. Teams and heavy users often run queries on several models and lose visibility into overall consumption.

Previously, tracking required switching between model providers or maintaining separate spreadsheets. The new view consolidates the data in one place.

The rollout follows increased demand for usage transparency as more organizations adopt multi-model workflows. No separate sign-up or pricing tier is required.

Enterprise customers gain an additional layer of oversight. Admins can now review team-wide credit allocation without exporting raw logs from different endpoints.

The feature does not alter existing model access or rate limits. It only surfaces existing usage records in a unified format.

Early users report faster budget reviews and clearer month-end reporting. Some note reduced time spent reconciling invoices from separate vendors.

Perplexity has not disclosed exact update frequency or data retention periods for the analytics view. The company states the data reflects the same billing cycle used for credits.

The announcement was shared on the company's official X account on July 11, 2026.

Competitors such as OpenAI and Anthropic already provide per-model usage dashboards, yet none currently surface combined credit balances across third-party models inside a single pane.

Perplexity positions the update as a convenience layer rather than a new pricing model. No changes to credit costs or refund policies were mentioned.

Some users question whether the consolidated view will remain limited to Perplexity-hosted models or expand to external providers in future releases.

The company has not confirmed a timeline for additional integrations.

Teams running regular comparative tests across models now have clearer visibility into total spend. This may influence decisions on which models receive heavier workloads during budget reviews.

Individual subscribers gain the same reporting without extra tools. The feature appears immediately once the user visits the Analytics section.

No public roadmap details were released alongside the launch. Further refinements are expected based on user feedback collected through the in-app support channel.

Readers should monitor the Analytics tab for any added filters or export options in the coming weeks.