Token Cost Intelligence Across Every AI Provider
Track, attribute, and optimize token spend across OpenAI, Anthropic, Google Vertex AI, Cohere, Mistral, and self-hosted models — all in one dashboard.
Token Costs Are the New Cloud Bill
Teams use GPT-4, Claude, Gemini, and open-source models simultaneously. Costs fragment across dozens of API keys and billing accounts.
You know the total monthly LLM bill, but can't tell which customer, feature, or experiment drove 40% of the cost.
Verbose prompts, unnecessary system messages, and unoptimized context windows burn tokens silently. There's no feedback loop.
Full-Stack Token Cost Visibility
MetaFinOps captures every API call, maps it to a customer and feature, and surfaces optimization opportunities automatically.
Track prompt tokens, completion tokens, embedding calls, and fine-tuning costs in a unified dashboard. Set per-team and per-customer token budgets with real-time alerts.
Compare cost-per-quality across providers: is GPT-4 Turbo worth 3x the cost of Claude 3 Haiku for your use case? Our model comparison engine answers that with data.
Token Intelligence Capabilities
Multi-Provider Tracking
Unified view of token spend across OpenAI, Anthropic, Google, Cohere, Mistral, and any OpenAI-compatible API. One dashboard for all LLM costs.
Per-Customer Attribution
Map every token to a specific customer, tenant, or business line. Know exactly what each user costs you in AI infrastructure.
Cost-per-Conversation
Track the total token cost of each conversation, session, or workflow. Identify expensive interaction patterns and optimize them.
Token Budget Alerts
Set per-team, per-project, and per-customer token budgets. Get Slack/PagerDuty alerts when spend approaches thresholds.
Prompt Optimization Insights
Identify verbose prompts, redundant system messages, and oversized context windows. Get actionable recommendations to reduce token waste.
Multi-Model Cost Comparison
Compare cost-per-quality across models. Find where cheaper models deliver equivalent results and where premium models justify the cost.
Token Cost Dashboard
How Token Cost Is Calculated
Token Cost = (Prompt Tokens × Input Price) + (Completion Tokens × Output Price)
Customer Cost = ∑ Token Cost per Request × Customer Attribution Weight
MetaFinOps captures input/output token counts per API call, multiplies by provider-specific pricing (updated in real-time), and attributes costs using your tagging rules — by customer, feature, team, or experiment.
A SaaS company using MetaFinOps Token Intelligence discovered that 30% of their LLM spend came from a single verbose system prompt. By optimizing it, they saved $1,200/month while maintaining the same output quality.
Start Tracking Your Token Costs
Get visibility into every token across every provider. See optimization opportunities in minutes.
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