Gemini usage, measured and managed.
From long-context document analysis to multimodal pipelines, Gemini workloads have their own cost and failure patterns. Obsivara traces every request — text, image, and audio — and puts Gemini's real economics side by side with the rest of your model stack.
Gemini, fully observable.
Multimodal request tracing
Text, image, video, and audio requests traced with modality-aware token accounting, so multimodal costs stop being a mystery line item.
Long-context cost visibility
Million-token contexts are powerful and expensive. See exactly which workflows use large contexts, what they cost, and where trimming would be free money.
Cross-provider comparison
Gemini versus your other providers on cost, latency, and reliability — measured on your traffic, so routing decisions are based on evidence.
Reliability and quota monitoring
Error classification, quota exhaustion warnings, and latency drift detection across every Gemini model you use.
Three steps. No code changes.
Connect your Google AI account
Add a usage connection for Google AI Studio or Vertex AI-hosted Gemini. No changes to application code.
Obsivara profiles your workloads
Every Gemini model, workflow, and cost center mapped automatically, with baselines established within the first day.
Configure alerts and budgets
Spend limits, latency thresholds, and anomaly detection per workflow — live in minutes.
Signals tracked out of the box.
- →Tokens per request by modality
- →Cost per call, workflow, and project
- →Context-window utilization
- →Latency by model and region
- →Quota and rate-limit pressure
- →Safety-block and refusal rates
Common questions.
Does Obsivara cover both Google AI Studio and Vertex AI usage?
Yes. Connect either or both — Obsivara consolidates Gemini usage across surfaces into a single per-workflow view.
How does multimodal cost tracking work?
Obsivara accounts for each modality's token pricing separately, so an image-heavy workflow and a text-only one are costed accurately rather than averaged.
Can I compare Gemini against OpenAI and Claude in one place?
That's the point. Cross-provider comparison on your live traffic is built in — cost, latency, and reliability, normalized per workflow.