Google Gemini

Gemini LLM Cost Management & API Spend Observability

Google Gemini models from Gemini 1.5 Pro to Gemini Flash are embedded in enterprise applications through Vertex AI and the Gemini API. As Gemini usage scales across product teams and internal tools, token-based billing creates a cost surface that is difficult to track and govern without dedicated tooling. Aquila Clouds provides enterprises with complete visibility into Gemini API spend unified alongside cloud costs on Google Cloud for a single FinOps operating layer.

Unify Google Cloud and Gemini API Cost Visibility

  1. Unified Google Cloud and Gemini API cost visibility in one platform
  2. Token-level cost attribution to teams, products, and projects
  3. Proactive governance with model-level and team-level budget controls
  4. Elimination of blind spots between cloud and AI spend on GCP
  5. Improved forecast accuracy for Gemini-powered product investments
  6. Executive reporting on Gemini and GCP spend through Agent Sherlock

What Enterprises Achieve with OpenAI Cost Visibility

Expected Outcomes

Unified Google Cloud and Gemini cost visibility

Organizations using both GCP and Gemini APIs often manage their infrastructure costs and AI model costs in separate tools or spreadsheets. Aquila Clouds eliminates this fragmentation by providing a single pane of glass for all Google Cloud spend from Compute Engine and BigQuery to Gemini 1.5 Pro token consumption enabling finance and engineering teams to understand the true cost of building on Google.

Token-level cost attribution

Gemini API costs are driven by input and output token volumes that vary significantly across models, use cases, and teams. Aquila Clouds maps every Gemini token to a project, team, or environment creating the attribution needed for accurate chargeback and informed model selection decisions.

Proactive governance with budget controls

As Gemini adoption expands, spend can outpace quarterly budget cycles. Aquila Clouds enables FinOps teams to set Gemini-specific budget thresholds at the model, team, or project level with automated alerts that surface cost risks before they become budget incidents.

Gemini is built into Google Cloud.
Your cost governance should be too.

As your teams build more products on OpenAI APIs, the financial complexity grows exponentially. Andromeda gives you the observability, allocation, and governance layer your OpenAI deployment needs to scale responsibly.