# OptimToken by OptimNow

> Compare LLM pricing and cloud compute pricing with business metrics, technical filters, and live provider data.

Primary site: https://optimtoken.optimnow.io/
Compute page: https://optimtoken.optimnow.io/compute
Per-model pages: https://optimtoken.optimnow.io/models/{provider}/{model}, one
static HTML page per model (full pricing incl. batch/cache, use-case costs),
readable without JavaScript; complete list in https://optimtoken.optimnow.io/sitemap.xml
Price barometer: https://optimtoken.optimnow.io/barometer, every LLM list-price
move over the latest measured window, with the blended 30/70 price before and
after each one and the rules behind the figures
Guides index: https://optimtoken.optimnow.io/guides, all FinOps guides on LLM and
cloud pricing
Compare tool: https://optimtoken.optimnow.io/compare, any 2-4 models side by
side, plus prebuilt head-to-head pages at /compare/{model-a}-vs-{model-b}
<!-- GUIDES-START -->
Guides: https://optimtoken.optimnow.io/guides/batch-api-economics, Batch API economics: when the -50% applies
  https://optimtoken.optimnow.io/guides/cost-per-request-methodology, How we compute cost per request
  https://optimtoken.optimnow.io/guides/open-weights-vs-proprietary, Open weights against proprietary APIs: the cost gap in numbers
  https://optimtoken.optimnow.io/guides/prompt-caching-economics, Prompt caching: the discount nobody budgets for
  https://optimtoken.optimnow.io/guides/quality-per-dollar, Quality per dollar: the models that beat their price class
  https://optimtoken.optimnow.io/guides/where-to-run-a-model, Bedrock, Vertex, Azure or direct: what the channel changes
<!-- GUIDES-END -->
Sitemap: https://optimtoken.optimnow.io/sitemap.xml
Detailed reference: https://optimtoken.optimnow.io/llms-full.txt

The block between GUIDES-START and GUIDES-END is regenerated by
scripts/prerender.mjs from scripts/guides/*.mjs on every build. Editing it here
by hand is pointless: the list a hand kept had already drifted a guide behind.

## Summary

OptimToken helps teams compare large language model pricing and cloud infrastructure pricing in one web app. The root page focuses on LLMs. The compute page focuses on cloud instances.

## LLM pricing

- Compare hundreds of models when live OpenRouter data is available (exact count in the API's meta.total), with static fallback coverage in local development or API outages
- Providers include OpenAI, Anthropic, Google, Meta, DeepSeek, Mistral, xAI, Cohere, Amazon, Alibaba, AI21 Labs, and others
- Business view shows efficiency score, unit cost per request, monthly budget estimates, and a FinOps Friendly badge
- Technical view shows input and output price per 1M tokens, context window, parameters, release date, and capabilities
- Use case presets: Support Ticket, Knowledge Q&A, Meeting Summary, Marketing Content, Coding Task, Invoice Processing, Call Summary, Agent Workflow
- FinOps Friendly requires all 4, on relative percentiles that recalibrate as the market moves:
  Arena ELO in the top 40% of ranked models, efficiency score in the top 30%, list price among
  the cheapest 70% of ranked models, and a stable release (no preview/beta/experimental label,
  not a frontier model released in the last 3 months, and no vendor-announced deprecation).
  The price gate reads list prices only: batch and cache discounts are conditional on the
  customer implementing them.

## Cloud compute pricing

- Compare AWS, Azure, GCP, DigitalOcean, OCI, OVH, and Alibaba Cloud
- Pricing tiers include on-demand, spot/preemptible, savings plans or CUDs, and reserved pricing where the provider supports them
- Filters cover provider, category, use case, processor family, operating system, region, vCPUs, and memory

## Machine-readable API (free, no auth, CORS enabled)

AI agents and applications are welcome to read the same JSON data the site uses.
Terms: free to use with attribution, cite https://optimtoken.optimnow.io/ as the
source. Data is provided as-is for comparison; verify final numbers with official
provider pricing pages.

OpenAPI 3.1 spec (full schemas + field provenance): https://optimtoken.optimnow.io/openapi.json
MCP server (Model Context Protocol, streamable HTTP): https://ai-pricing-hub-mcp-9604f763.alpic.live/
  Docs & connection guide: https://optimtoken.optimnow.io/mcp
  Tools: compare-llm-models, recommend-llm-model, compare-models-side-by-side,
  estimate-llm-cost, compare-compute-pricing.
  Registry name: io.github.optimnow/ai-pricing-hub

- LLM pricing JSON: https://optimtoken.optimnow.io/api/llm-models
  Query params: ?provider= (exact, case-insensitive), ?model= (substring), ?limit=
  Example: /api/llm-models?provider=anthropic&limit=10
  Returns { models: [...], meta }. Each model has: provider, model, inputPricePer1M,
  outputPricePer1M, batchInputPricePer1M, batchOutputPricePer1M (batch API, typically -50%),
  cachedInputPricePer1M (prompt-cache read price), contextWindow, category, capabilities,
  releaseDate, eloScore (Arena), license. meta.timestamp is the snapshot time and
  meta.eloAsOf the date of the last Arena ELO refresh.
  meta.unpriced lists models OpenRouter carries with NO published token price (its
  anonymous "stealth" evaluation endpoints). They are not in models[] and are not
  free: the price is simply unpublished, prompts are retained by the anonymous
  provider, and every such model so far was withdrawn or renamed within weeks.
  Never quote a price for one, and never call it the cheapest option.
- Compute pricing JSON: https://optimtoken.optimnow.io/api/pricing
  Query params: ?region= (us-east | us-west | europe | asia-pacific),
  ?provider=aws,gcp (comma list), ?instanceType= (substring), ?limit=
  Example: /api/pricing?region=europe&provider=aws,azure&instanceType=large&limit=50
  Returns { instances: [...], meta }. Each instance has: provider, instanceType, os, vCPUs,
  memory, onDemandHourly, onDemandMonthly, spot, savingsPlan1yr/3yr, reserved1yr/3yr
  (reserved = EFFECTIVE HOURLY, term totals divided by term hours).
  meta.sources marks each provider live or static; meta.sourceRegions tells the actual
  priced region per provider: some public endpoints return a global list price.

## Data sources and freshness

- LLM pricing: OpenRouter API, refreshed at most every 24 hours (CDN cache), with a
  daily-regenerated static fallback
- LLM quality: Arena (formerly Chatbot Arena / LMArena) ELO scores, rebased WEEKLY from
  the Arena leaderboard by a GitHub Action (Mondays). Every mapped score is rewritten in one
  pass or none is: the site ranks on percentiles, so a partial refresh reads as market
  movement. meta.eloAsOf carries the leaderboard's own stamp, not the run date
- Cloud pricing: live provider APIs (AWS, Azure, GCP, DigitalOcean, OCI, OVH), refreshed
  at most every 24 hours; Alibaba Cloud uses curated static data