Your OpenAI, Anthropic, and Gemini invoices arrive as one number nobody can explain. AI SpendOps is the AI spend management platform that tracks AI costs across 16+ LLM providers, attributes every token to a team, feature, or customer, tracks and alerts on budgets, and enforces model policies through one low-latency gateway.
One gateway, 16 AI providers, provider-correct pricing on every token
Every team building with LLMs hits the same three problems.
Your OpenAI and Anthropic invoices land as one lump sum each month, with no attribution by feature, team, or customer. When the CFO asks what drove the increase, nobody can answer.
Token pricing shifts monthly across providers. Without per-model token tracking, finance teams cannot forecast AI cost exposure.
No enforced model or provider control. Shadow AI usage spreads unchecked across teams.
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Everything you need, at a glance.
At ~$780/day, on pace to hit $22,000 around 28 Dec. Projected period total ~$24,200 (110%).
See which models and providers drive token spend, with error, cache, and stream rates alongside.
| Model | Provider | Spend | Requests | Tokens | Error Rate | Cache % | Stream % |
|---|---|---|---|---|---|---|---|
| claude-sonnet-4 | Anthropic | $6,840 | 48,214 | 1.21B | 0.1% | 38.4% | 92.1% |
| gpt-4o | OpenAI | $5,910 | 61,377 | 923.4M | 0.0% | 21.7% | 88.4% |
| gemini-2.5-pro | $2,750 | 24,831 | 512.7M | 0.2% | 12.9% | 76.2% | |
| gpt-4o-mini | OpenAI | $1,480 | 184,592 | 2.83B | 0.0% | 44.1% | 81.5% |
| mistral-large-2 | Mistral | $980 | 11,240 | 168.3M | 0.3% | 8.3% | 64.8% |
| anthropic/claude-haiku-4.5 | Vercel AI Gateway | $740 | 52,886 | 641.8M | 0.0% | 18.2% | 70.3% |
Three pillars that turn AI from an unpredictable cost centre into a controlled, auditable platform. FinOps for AI, built into a proxy you deploy in minutes.
Real-time AI cost monitoring across every provider and model. See prompt, completion, cached, and reasoning token costs by team, feature, and environment.
Enforce allowed models, providers, and dimensions at call-time. Block what shouldn't run.
Budget tracking, burn alerts, and cost allocation by department and cost centre. Give finance the numbers they need.
Quick Time to Value
Land and Expand
From the Blog
Eight LLM gateways compared by what they are actually for: routing and failover, model aggregation, platform-native gateways, and cost attribution. LiteLLM, Portkey, OpenRouter, Vercel AI Gateway, Cloudflare AI Gateway, Kong, Helicone and AI SpendOps, with the trade-offs stated plainly.
FOCUS 1.5, due December 2026, adds AI token cost visibility, a price sheet dataset and attribution to people and agents to the FinOps open billing standard. Drawing on production data across 16 providers, here are the provider semantics the AI columns must handle, and what finance teams should ask for now.
Helicone and LiteLLM are the two names most teams compare when they need an LLM proxy, but they solve different problems, and Helicone's move into maintenance mode changes the maths. Here is how they differ, where each wins, and the finance questions neither was built to answer.
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