AICosts.ai vs Helicone: Read-only billing aggregation vs proxy-based LLM observability
These tools solve adjacent problems. Helicone is a proxy — you point your OpenAI/Anthropic SDK at it and get per-request logs, latency, and cost in real time, plus request-level debugging. AICosts.ai is a read-only billing aggregator — you paste read-only API keys and we pull invoice and usage data from 50+ providers, with no inference-path impact. If you need per-request observability and are willing to own a proxy in your hot path, Helicone is excellent. If you need multi-vendor finance-grade cost visibility with zero production risk, AICosts.ai is purpose-built for it. Many teams run both.
AICosts.ai vs Helicone: feature-by-feature
| Feature | AICosts.ai | Helicone |
|---|---|---|
| Architecture | Read-only billing aggregator (pulls from vendor APIs) | Proxy/gateway (sits in the inference path) |
| Inference-path impact | Zero — never touches your request path | Proxy adds a hop; marketed as <50ms overhead |
| Providers tracked (cost) | 50+ (OpenAI, Anthropic, Gemini, Bedrock, Vertex, Azure, plus 40+ more) | LLM providers supported by the Helicone proxy (primarily OpenAI, Anthropic, Azure OpenAI, Gemini via gateway) |
| Per-request logs and prompts | Not captured — billing data only, prompts/completions stay with the provider | Full per-request logs including prompts, completions, latency |
| Setup | Paste read-only API key per provider (no code changes) | Change your base_url to Helicone's gateway, or install the SDK wrapper |
| Invoice reconciliation | Pulls actual invoice data — month-end numbers match what the vendor bills | Estimates cost per request from published rate cards; may not match invoices when discounts or committed-use pricing apply |
| Best fit | Finance, founders, AI FinOps — 'what did we spend' | Developers debugging prompts — 'what did this request do' |
Where AICosts.ai is stronger
No proxy to own or operate
AICosts.ai never sits between your application and an LLM provider. There's nothing to fail, nothing to scale, and nothing that can add latency to user-facing requests.
Coverage across 50+ providers, not just LLMs
AICosts.ai tracks Pinecone, RunwayML, Tavily, Fireworks, and other specialist services in the same dashboard as OpenAI and Anthropic. Proxies typically only cover LLM providers.
Invoice-accurate numbers
Because we pull from billing APIs, our month-end totals match what the vendor actually charges — discounts, prompt-cache savings, and committed-use pricing are already baked in.
Zero risk to add or remove
Because we're not in the request path, adopting AICosts.ai is a reversible, low-stakes decision. Disconnecting a key stops ingestion; nothing downstream is affected.
Where Helicone is a better fit
No tool is right for every problem. Here's when Helicone is the more honest pick.
No per-request prompt visibility
If your goal is debugging why a specific prompt was slow or expensive, AICosts.ai can't help at the request level. Helicone's proxy logs every request with full prompt and completion text.
Daily granularity, not real-time
Billing APIs update on provider-specific cadences (usually hourly to daily). If you need sub-minute cost signal during a deploy, a proxy gives you that; we give you end-of-day accuracy.
No built-in prompt experimentation
Helicone has prompt playgrounds, A/B tools, and evaluator integrations. AICosts.ai is cost and spend only — by design.
Pricing at a glance
AICosts.ai
Starter $19.99/mo (up to 3 providers, 30-day retention). Professional $49.99/mo (all 50+ providers, 90-day retention, billing-file upload + parse). Enterprise is custom. 7-day free trial on Starter and Professional. Priced by provider count and tier, not seat count.
Helicone
Helicone has a generous free tier (10k requests/mo), Pro at $80/mo, Team tiers higher. Priced by request volume through the proxy.
Verdict
Pick AICosts.ai when your problem statement is 'we have 8 invoices and no unified view,' when you care about month-end accuracy, or when inference-path risk is a non-starter (regulated industries, real-time apps). Pick Helicone when your problem is 'I need to see this exact request's prompt, completion, latency, and cost right now' and you're comfortable with a proxy. Many teams run both: AICosts.ai for finance and leadership, Helicone for engineering debugging.
Frequently Asked Questions
Can I use Helicone and AICosts.ai together?+
Yes, and a lot of teams do. Helicone handles per-request logging and prompt debugging through the proxy; AICosts.ai pulls invoice data for finance-grade reporting and covers the long tail of non-LLM providers (Pinecone, RunwayML, Tavily, etc.). The two surfaces don't overlap much in practice.
Why not just use Helicone for cost tracking and skip a second tool?+
Two reasons: (1) proxy-computed costs are estimates based on published rates — when your vendor applies prompt-cache discounts, batch pricing, committed-use deals, or negotiated enterprise rates, the proxy number drifts from the actual invoice. (2) Helicone only covers providers you route through its gateway. Your AWS Bedrock, Vertex AI, Pinecone, and RunwayML bills aren't in it.
Does AICosts.ai support self-hosted deployment?+
Cloud-hosted is the default. Self-hosted is on the roadmap — contact us if it's a hard requirement for your team.
Which tool is cheaper?+
They price on different axes. Helicone is request-volume priced (free up to 10k req/mo, then usage-based). AICosts.ai is provider-count and feature priced. For a team running 10M+ LLM requests a month, Helicone's proxy pricing grows faster; for a team tracking 12 providers at modest volume, AICosts.ai is typically lower.
Is read-only billing aggregation actually reliable?+
Yes — it's how every enterprise FinOps platform (Cloudability, CloudZero, Vantage) works for AWS and GCP cost tracking. AICosts.ai applies the same pattern to the AI stack. The tradeoff is daily granularity instead of per-request, which is the right tradeoff for most cost-management use cases.
Try AICosts.ai
Read-only. 50+ providers. Free tier available.
Start tracking your AI spendFree tier available. Read-only ingestion. No changes to production.