Best AI Cost Management Software for Google Sheets

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Compare the Top AI Cost Management Software that integrates with Google Sheets as of August 2026

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This a list of AI Cost Management software that integrates with Google Sheets. Use the filters on the left to add additional filters for products that have integrations with Google Sheets. View the products that work with Google Sheets in the table below.

What is AI Cost Management Software for Google Sheets?

AI cost management software helps organizations monitor, analyze, optimize, and control the costs associated with building, deploying, and using artificial intelligence models and services. These platforms provide visibility into AI-related spending across model providers, APIs, inference workloads, GPUs, tokens, cloud infrastructure, and AI applications. The software often includes real-time usage tracking, cost allocation, budget controls, forecasting, anomaly detection, chargeback reporting, and optimization recommendations to help organizations reduce AI expenses without sacrificing performance. Many AI cost management solutions integrate with AI platforms, cloud providers, model APIs, observability tools, and FinOps platforms to deliver comprehensive financial oversight of AI operations. By improving cost transparency and optimizing AI resource utilization, AI cost management software helps organizations maximize ROI, enforce spending policies, and scale AI initiatives efficiently. Compare and read user reviews of the best AI Cost Management software for Google Sheets currently available using the table below. This list is updated regularly.

  • 1
    Burnwise

    Burnwise

    Burnwise

    Burnwise is an AI cost copilot that shows where an organization’s AI budget goes, why spending changes, and what actions can reduce it without sacrificing product quality. It tracks usage across LLMs, image generation, video, and audio from major providers through a single SDK and unified dashboard. Instead of stopping at aggregate token charts, Burnwise attributes costs to individual product features, users, sessions, teams, and agent workflows, helping teams understand the true cost of functions such as chat support, document analysis, summaries, or translation. Usage intelligence highlights cost-to-value mismatches, while anomaly alerts identify sudden spikes and runaway prompts in real time. Burnwise delivers a small set of prioritized decision cards with estimated savings, risk, and quality impact, covering actions such as switching models, enabling semantic caching, setting limits, or changing how a feature runs.
    Starting Price: €9 per month
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  • 2
    ZenLLM

    ZenLLM

    ZenLLM

    ZenLLM is an AI cost optimization platform for engineering teams running LLM applications in production. It connects provider invoices to the application behavior behind them, showing which prompts, workflows, models, customers, retries, and request paths are driving spend. Teams send request-level telemetry through the ZenLLM SDK and can attach business context such as workflow, owner, customer, team, or product feature without storing prompt or response content. It monitors token usage, model selection, latency, errors, retries, and cost, then surfaces the waste patterns hidden by aggregate provider dashboards. It detects context accumulation when conversations or agents resend growing histories, premium-model overuse on low-risk work, retry loops that repeat expensive context, stale system prompts, routing mistakes, anomalies, and weak cost ownership.
    Starting Price: $49 per month
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  • 3
    FinOps LLM

    FinOps LLM

    FinOps LLM

    FinOps LLM is an AI cost management and LLM observability platform for engineering teams running production GenAI. It makes token spend visible across OpenAI, Anthropic, Amazon Bedrock, Google Gemini, Azure, Groq, and other providers and reconciles internal usage data against provider invoices. Token-level costs can be filtered by provider, model, feature, team, customer, environment, and custom dimensions, giving every dollar a clear owner. Attribution and chargeback tools map usage to product surfaces and customer cohorts, support showback, and export data to NetSuite, QuickBooks, CSV, or APIs. Real-time anomaly detection monitors spend, latency, and quality against rolling feature baselines, sending alerts through Slack, PagerDuty, email, or webhooks when behavior changes. Optional budget enforcement and auto-throttling can stop runaway agents, retries, or model shifts before they become expensive.
    Starting Price: $1,500 per month
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