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One control plane between your app and every AI model.

Parezen reads the AI usage you already pay for, sends each request to the cheapest model that still clears your quality bar, and counts every saving against your own baseline.

Try the free AI bill X-raySee how it works

Early access. The X-ray is planned and not live yet.

Your appOpenAI SDKParezen gatewayOpenAIAnthropicGeminiMistral

Requested model Cheaper model that passed your quality bar

Routing decisions

Sample data

  • Support repliesgpt-4.1 › gpt-4.1-mini26% lower
  • Docs searchclaude-sonnet › claude-haiku22% lower
  • Nightly evalgemini-2.5-flash › gemini-2.5-flash-lite42% lower
  • Coding reviewgpt-4.1 › gpt-4.1-mini6% lower

Illustration on sample data. Percentages come from the sample month. Routing is planned, not live.

Built for teams spending on OpenAI, Anthropic, Google and Mistral

  • OpenAIOpenAI
  • AnthropicAnthropic
  • GoogleGoogle
  • MistralMistral

Providers Parezen is built to work with, not customers.

Four steps. One ledger.

The same loop for every provider and every feature. Each step is planned.

  1. STEP 01

    Connect

    Upload a usage export or connect read-only billing. Nothing in your traffic changes to start.

    Planned
  2. STEP 02

    See

    Spend by provider, model, feature, team and agent, in one place, with budgets and hard stops.

    Planned
  3. STEP 03

    Cut

    A smaller model, a cache or a shorter prompt, switched on only after a shadow test passes your quality bar.

    Planned
  4. STEP 04

    Prove

    Every saving is a ledger line against your own baseline, then matched to the provider invoice within 2%.

    Planned

Four modules. Start free.

Pick the modules you need. Prices follow your tracked AI spend, billed annually.

  • Free

    Core

    Organisation, users, projects and provider connections. Free under $1,000 a month of AI spend. We plan to open-source it.

    See pricing
  • From $49/mo

    FinOps

    Spend analysis, budgets and alerts, chargeback, the savings ledger and the match against your provider bill.

    See pricing
  • From $49/mo

    Inference

    The gateway: routing, semantic caching, shadow tests and fallbacks. Full prompt capture stays off unless you turn it on.

    See pricing
  • From $29/mo

    Governance

    Policies, approvals, guardrails, roles and the audit log, across every provider you use.

    See pricing

See where the money actually goes.

Switch the breakdown between provider, model, feature and team. The same sample month stays in view, and every total adds up to the same bill.

  • Read-only. No change to your traffic.
  • Your own baseline, not an industry average.
  • Sample data on this site.
Spend breakdown

SpendBaseline

OpenAI: $10,600 spend, $13,000 baselineAnthropic: $4,200 spend, $5,400 baselineGoogle Gemini: $3,800 spend, $5,800 baselineMistral: $3,000 spend, $4,000 baseline
  • OpenAI$10,600$13,000
  • Anthropic$4,200$5,400
  • Google Gemini$3,800$5,800
  • Mistral$3,000$4,000
Show the table
Sample spend by provider
providerSpendBaseline
OpenAI$10,600$13,000
Anthropic$4,200$5,400
Google Gemini$3,800$5,800
Mistral$3,000$4,000
gpt-4.1: $10,600 spend, $13,000 baselineclaude-sonnet: $4,200 spend, $5,400 baselinegemini-2.5-flash: $2,100 spend, $3,600 baselinemistral-medium: $2,100 spend, $2,600 baselinegemini-2.5-pro: $1,700 spend, $2,200 baselinemistral-small: $900 spend, $1,400 baseline
  • gpt-4.1$10,600$13,000
  • claude-sonnet$4,200$5,400
  • gemini-2.5-flash$2,100$3,600
  • mistral-medium$2,100$2,600
  • gemini-2.5-pro$1,700$2,200
  • mistral-small$900$1,400
Show the table
Sample spend by model
modelSpendBaseline
gpt-4.1$10,600$13,000
claude-sonnet$4,200$5,400
gemini-2.5-flash$2,100$3,600
mistral-medium$2,100$2,600
gemini-2.5-pro$1,700$2,200
mistral-small$900$1,400
Support: $6,100 spend, $8,200 baselineEng: $4,500 spend, $4,800 baselineDocs: $4,200 spend, $5,400 baselineEval: $2,100 spend, $3,600 baselineOps: $2,100 spend, $2,600 baselineFinance: $1,700 spend, $2,200 baselineCatalog: $900 spend, $1,400 baseline
  • Support$6,100$8,200
  • Eng$4,500$4,800
  • Docs$4,200$5,400
  • Eval$2,100$3,600
  • Ops$2,100$2,600
  • Finance$1,700$2,200
  • Catalog$900$1,400
Show the table
Sample spend by project
projectSpendBaseline
Support$6,100$8,200
Eng$4,500$4,800
Docs$4,200$5,400
Eval$2,100$3,600
Ops$2,100$2,600
Finance$1,700$2,200
Catalog$900$1,400
Chat reply: $6,100 spend, $8,200 baselineCode review: $4,500 spend, $4,800 baselineRetrieval: $4,200 spend, $5,400 baselineBatch score: $2,100 spend, $3,600 baselineClassify: $2,100 spend, $2,600 baselineRAG: $1,700 spend, $2,200 baselineBatch draft: $900 spend, $1,400 baseline
  • Chat reply$6,100$8,200
  • Code review$4,500$4,800
  • Retrieval$4,200$5,400
  • Batch score$2,100$3,600
  • Classify$2,100$2,600
  • RAG$1,700$2,200
  • Batch draft$900$1,400
Show the table
Sample spend by task
taskSpendBaseline
Chat reply$6,100$8,200
Code review$4,500$4,800
Retrieval$4,200$5,400
Batch score$2,100$3,600
Classify$2,100$2,600
RAG$1,700$2,200
Batch draft$900$1,400
None: $15,000 spend, $19,800 baselinereview-bot: $4,500 spend, $4,800 baselineeval-bot: $2,100 spend, $3,600 baseline
  • None$15,000$19,800
  • review-bot$4,500$4,800
  • eval-bot$2,100$3,600
Show the table
Sample spend by agent
agentSpendBaseline
None$15,000$19,800
review-bot$4,500$4,800
eval-bot$2,100$3,600

Ways to spend less

Each lever has a stop. Anything that can change answer quality waits for a passed shadow test.

  • Lever 1

    Right-size the model

    Send simple requests to a smaller model that still clears the quality bar.

    How it works
  • Lever 2

    Cascade

    Try a cheap model first and escalate only when a check fails.

    How it works
  • Lever 3

    Provider prompt caching

    Reorder prompts so stable parts qualify for cached-token discounts.

    How it works
  • Lever 4

    Response cache

    Exact-match cache is in the gateway prototype. A semantic cache would come later.

    How it works
  • Lever 5

    Prompt and context trimming

    Flag duplicate system prompts, oversized context and repeated instructions.

    How it works
  • Lever 6

    Output control

    Set length limits, structured output and reasoning effort per route.

    How it works
  • Lever 7

    Batch routing

    Move async work onto discounted batch APIs.

    How it works
  • Lever 8

    Waste removal

    Catch retry storms, duplicate calls, agent loops and stale test keys.

    How it works
  • Lever 9

    Host arbitrage

    For an open-weight model, pick the cheapest healthy host.

    How it works
  • Lever 10

    Shadow testing

    Replay a sample of real traffic and score it before any switch.

    How it works
  • Lever 11

    Distil or fine-tune

    Advise a tuned small model where one high-volume task would pay off.

    How it works
  • Lever 12

    Commit advisor

    Advise on provider commitments and credits from actual usage.

    How it works
  • Lever 13

    Cross-provider switch

    A cheaper model from another provider you connected, only after a replay of your own requests holds quality. Not built.

    How it works

Every saving has a line. Every line has a baseline.

  • The baseline is the model you asked for, with no levers, at the same price version.
  • Estimated, then realised on real traffic, then verified against the provider bill.
  • The total is always the sum of its lines.
Savings ledger

Estimated $2,900

Realised $1,700

Verified $2,000

Support replies

OpenAI · gpt-4.1

Estimated

$8,200 baseline → $6,100 · gap $2,100

Docs search

Anthropic · claude-sonnet

Realised

$5,400 baseline → $4,200 · gap $1,200

Nightly eval

Google Gemini · gemini-2.5-flash

Verified

$3,600 baseline → $2,100 · gap $1,500

Coding review

OpenAI · gpt-4.1

Estimated

$4,800 baseline → $4,500 · gap $300

Invoice Q&A

Google Gemini · gemini-2.5-pro

Realised

$2,200 baseline → $1,700 · gap $500

Catalog copy

Mistral · mistral-small

Verified

$1,400 baseline → $900 · gap $500

Ticket classify

Mistral · mistral-medium

Estimated

$2,600 baseline → $2,100 · gap $500

Sample savings ledger for September
FeatureProviderStatusBaselineSpendGap
Support repliesOpenAIEstimated$8,200$6,100$2,100
Docs searchAnthropicRealised$5,400$4,200$1,200
Nightly evalGoogle GeminiVerified$3,600$2,100$1,500
Coding reviewOpenAIEstimated$4,800$4,500$300
Invoice Q&AGoogle GeminiRealised$2,200$1,700$500
Catalog copyMistralVerified$1,400$900$500
Ticket classifyMistralEstimated$2,600$2,100$500
September total$28,200$21,600$6,600
Gap $6,600

Baseline $28,200Spend $21,600Gap $6,600

Connect what you already use

Read-only access. Connectors never call a model and never change your traffic.

  • Planned

    Usage export (CSV or JSONL)

    Import is written and tested, not deployed. This site only previews a file.

  • Planned

    OpenAI Costs API

    Read-only. Not built.

  • Planned

    Anthropic Usage and Cost Admin API

    Read-only. Not built.

  • Planned

    AWS Cost and Usage Report

    Read-only. Not built.

  • Planned

    Google Cloud billing export

    Read-only. Not built.

Your data, your call.

Hybrid by default: your gateway, your keys and your logs stay on your servers.

  • Planned

    Hybrid (default)

    You run the gateway and Postgres next to your app. Parezen runs the dashboard, audit and ledger. Only signed totals leave your servers. No gateway image is published.

  • Planned

    Hosted Quickstart

    For startups: change one URL to api.parezen.com and bring your own provider keys. Free trial, then priced above hybrid. Price not set. Not built.

  • Planned

    Offline

    Air-gapped installs, signed bundles and a flat fee or a signed monthly report. Enterprise only. Not built.

Parezen is pre-revenue. There are 0 customers and 0 letters of intent. The product interface is live on sample data. Pricing is published. Nothing on this site moves live traffic. The gateway is not deployed. This repository does not call a model provider, does not read provider usage fields, does not terminate TLS, does not encrypt stored keys and does not rate-limit requests.

See where your AI spend goes.

Try the free AI bill X-ray

Early access. The X-ray is planned and not live yet.

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Parezen reads the AI usage you already pay for and finds where you could spend less. A saving is the gap against your own baseline.

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Figures on this site are labelled sample data unless stated otherwise. List prices are the published prices. This site does not take a payment.

Contact [email protected].