InferIndex

io.github.InferIndexPublished by GitHub account InferIndexv1.0.0Updated Oct 24, 2026

LLM API prices across 70+ providers: cheapest offer, comparisons, history and cost estimates.

VerifiedStreamable HTTPWeb executableCloud & InfrastructureFinanceAI & ML

Overview

AI-generated overview

Remote MCP server that lets an assistant compare LLM API prices across 60+ providers, check price history, estimate costs and weigh self-hosting against API use

What you can do
Find tracked model ids by name or partial name, with the best match first and optional filters for context, tools, JSON, vision, region, no training on prompts and open sign-up, plus usage figures for cost estimates. Compare current offers for one model, one line per provider and source, cheapest first, with quantization, conditions and reliability. Review price history per offer and the lab's official prices by days, date range or a single date. Estimate workload cost per request and per month, including tiered pricing and prompt-cache prices. List tracked GPU types with the lowest rental price per tier, and rental offers for one GPU. Judge whether self-hosting an open-weights model on rent
When to use it
Use it when choosing a provider or model for a workload, checking whether a quoted price is competitive, tracking how prices moved, or deciding between self-hosting open-weights models and paying for an API.
Requirements
A remote Streamable HTTP endpoint; no installation, account or key is required. An optional API key can be sent in the x-api-key header to raise rate limits. Network access to the service is needed; requests are limited per IP and per API route.
Before you install
Read-only and unauthenticated, but prices are collected from public listings and parsed pages, so treat them as what the collector last saw, not as a billing guarantee; confirm on the provider's own page before committing to real spend. Promotions, misparsed units and reseller margins can distort figures. The API is early, has no versioned contract, and response shapes may change.

Installation

In SourceWeft

  1. Open InferIndex in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.

Use with an agent

Paste this prompt into Claude Code, Codex, Cursor or another agent — or into SourceWeft chat. The agent reads this server's install guide, shows you its publisher, endpoint and sign-in, and adds it to your client once you agree. Keys never go into a command.

Read https://sourceweft.com/mcp/io.github.InferIndex%2Finferindex/install.md and connect the MCP server it describes to my client. Before changing any config, show me its publisher, endpoint and sign-in method and wait for my OK. Never put an API key in a command or in a file I would commit; ask me where it should come from.

Read the install guide the agent follows

Other MCP clients

Add this to your client's mcpServers config.

{
  "mcpServers": {
    "inferindex": {
      "type": "http",
      "url": "https://mcp.inferindex.dev/mcp"
    }
  }
}

README

InferIndex

InferIndex finds the cheapest provider for a given LLM, across more than 60 tracked pricing sources — direct provider APIs and aggregators/routers — with price history and promotion detection.

Live API: https://api.inferindex.dev

Service status: https://status.inferindex.dev (external uptime monitoring)

This repository holds the public documentation, examples and (eventually) a client SDK for that API. The backend itself — collection, parsers, data model — lives in a separate private repository.

bash
curl "https://api.inferindex.dev/cheapest?model=deepseek/deepseek-v3.2"

Example response as of 2026-10-07 — prices, providers and statuses change.

json
{  "query": "deepseek/deepseek-v3.2",  "model": {    "id": "deepseek/deepseek-v3.2",    "name": "DeepSeek: DeepSeek V3.2"  },  "other_matches": [],  "sort": "blended",  "cheapest": {    "provider": "GMICloud",    "via": "openrouter",    "via_name": "OpenRouter",    "offer_url": "https://openrouter.ai/models",    "offer_url_kind": "pricing",    "tier": "standard",    "input_per_1M": 0.2088,    "output_per_1M": 0.3096,    "cache_read_per_1M": 0.0216,    "blended_per_1M": 0.234,    "currency": "USD",    "quantization": "fp8",    "quantization_source": "declared",    "context_length": 163840,    "promo": true,    "also_via": [      "kilo"    ],    "unverified": []  },  "offers": [    {      "provider": "GMICloud",      "via": "openrouter",      "via_name": "OpenRouter",      "blended_per_1M": 0.234,      "…": "…"    },    {      "provider": "Nous Portal",      "via": "nous",      "via_name": "Nous Portal",      "blended_per_1M": 0.234,      "…": "…"    }  ],  "hidden_tiers": {    "flex": 1  },  "filters_unknown": {},  "strict": false}

Prices are in USD per million tokens, converted at the day's ECB rate when the source publishes another currency. blended_per_1M is (3 × input + output) / 4, a rough proxy for a typical chat workload. Each offer appears once, at its cheapest source: via is "direct" or the aggregator it comes from, and also_via lists other sources selling the same offer. promo is false unless a promotion was detected, in which case confidence and price_before_promo are filled in.

Status

Early / actively developed. The API is public and free to use, without authentication, but there is no uptime guarantee, no versioned API contract yet, and endpoints or response shapes may change. If you build something on it, expect to adjust when they do. Feedback and issues are welcome.

Service status: https://status.inferindex.dev (external uptime monitoring). It shows current and past availability; it is not an uptime guarantee.

Why

Provider pricing pages disagree, change without notice, and rarely show what resellers actually charge for the same model. InferIndex collects prices from more than 60 sources, each read from its own listing on its own schedule (from hourly to daily depending on the source), stores every change, and answers "who is cheapest for model X right now" from that history — client requests never trigger a live call to a provider.

Data freshness and limits

  • Cache: successful responses carry Cache-Control: public, max-age=300 (5 minutes) (except /health/ready, never cached). On the custom domain, responses are additionally held in Cloudflare's edge cache for the same 5 minutes.
  • Collection frequency: most sources are polled hourly; a few (exchange rates, model catalog) once a day.
  • Rate limits: 60 requests per minute per IP on /cheapest, /history, /resellers, /self-host, /gpus and /gpu-rentals, counting only requests not answered from cache. An optional API key (x-api-key header) raises this to 300 requests per minute per key; free keys will be offered, self-service sign-up isn't available yet. An invalid key returns 401. Over the limit, requests get 429. The MCP server has its own limits, see Use with AI assistants.
  • Cost estimate: add prompt_tokens, output_tokens, cached_ratio and requests_per_day to /cheapest or /resellers to get an estimated cost per request and per month for each offer, and sort=estimated_cost to rank by it. See docs/api.md.
  • Hidden tiers by default: degraded service tiers (flex, batch — lower priority, variable latency, in exchange for a lower price) are excluded from /cheapest and /resellers unless you ask for them with include_tiers=flex,batch. The number hidden is reported in hidden_tiers.

Reliability of the prices — read this before trusting a number

Data corrections are listed in the changelog.

InferIndex is a comparison tool, not a source of truth. Treat every price as "what our collector last saw", not as a guarantee of what you will be billed:

  • Prices come from public APIs and, for some sources, HTML pages parsed with source-specific code — a page redesign can silently break a parser until it's caught.
  • A price that looks unusually low may be a promotion, a misparsed unit, or a provider that hasn't updated its page yet. InferIndex applies guard rails (rejecting implausible prices, quarantining sudden jumps, flagging outliers against a second reference source) and reports detected promotions with a confidence level, but these are heuristics, not certainties.
  • Reseller aggregators can add their own margin. When a source's pricing model isn't fully understood, it is either excluded or flagged.
  • Always confirm the price on the provider's own page or dashboard before committing to real spend.

Endpoints

RouteWhat it does
GET /cheapest?model=deepseek/deepseek-v3.2Cheapest offer across all active sources, and every matching offer deduplicated and sorted
GET /resellers?model=deepseek/deepseek-v3.2Current prices across every reseller (direct and via aggregators), one line per source, paginated beyond 100 offers
GET /history?model=deepseek/deepseek-v3.2&days=30&granularity=dayPrice history, paginated by cursor
GET /models?search=deepseekSearch tracked models
GET /gpusGPU types tracked for rental prices, with the lowest price of each tier — see GPU rental prices
GET /gpu-rentals?gpu=h100-sxm-80gbRental offers for one GPU, one block per tier — see GPU rental prices
GET /self-host?model=qwen/qwen3-32b&tokens_per_day=50000000Is it cheaper to rent GPUs and run an open-weights model yourself, or to use the cheapest API offer? An estimate, hardware rental only — see how the answer is built
GET /trendingUp to 10 models currently getting attention, recomputed about every 6 hours
GET /index?series=marketWeekly market index, published every Monday since 2026-10-05 — see the methodology
GET /health/liveLiveness only: the service is up, no database access
GET /health/readyReadiness: data freshness and scheduler health, see below
/mcpMCP server for AI assistants, see Use with AI assistants

/cheapest filters

  • sort=blended\|input\|output — sort order (default blended)
  • min_context=100000 — minimum context window
  • quantization=fp8,bf16 — accepted quantizations
  • min_uptime=95 — minimum 30-minute uptime (%), as observed by an aggregator (not measured by InferIndex)
  • tools=true, json=true, vision=true — only offers declared to support tool calling, JSON output, image input
  • region=eu — only offers processed in that region (eu, us, cn, uk, ch, sg, id, my, vn, kr, jp, in, ca, au), per the providers' official documents
  • no_training=true — only offers whose providers state they don't train on prompts
  • no_waitlist=true — only providers whose signup is open to everyone
  • strict=true — also drop offers for which the filtered data is unknown (by default they're kept and flagged in unverified, counted in filters_unknown)
  • include_tiers=flex,batch — include degraded service tiers (excluded by default, see above)
  • explain=true — list every excluded offer with its reason codes (an explanation summary is always included)

Offers also carry conditions (data region, retention, training on prompts, and what it takes to open an account — each with its official source link), quantization_source (whether the compute precision is declared by the source or inferred), and, on /resellers, reliability from the providers' official status pages. See docs/api.md.

/history

granularity=raw returns one row per price change; day / week (weeks start Monday) return one point per period and per offer (provider, quantization, variant) with min, max and last price. Use days or from/to for a period, or at=2026-09-15 for the prices in force at a given moment. Prices are converted to USD at the ECB rate of the day of the price.

Model search (/models):

bash
curl "https://api.inferindex.dev/models?search=deepseek"

Example response as of 2026-09-15 — prices, providers and statuses change.

json
{  "count": 19,  "models": [    { "id": "deepseek/deepseek-v3.2", "name": "DeepSeek: DeepSeek V3.2" },    { "id": "deepseek/deepseek-v4.1-flash", "name": "DeepSeek: DeepSeek V4.1 Flash" }  ]}

/health/ready

Example response as of 2026-09-15 — prices, providers and statuses change.

json
{  "ready": true,  "status": "ok",  "failures": [],  "degraded": [],  "warnings": ["2 price source(s) in error", "1 announcement source(s) in error"],  "prices": { "current_offers": 5664, "latest_check_at": "2026-09-15T05:01:05.639Z", "latest_check_age_minutes": 1.5 },  "watcher": { "active_sources": 84, "errors": 1, "persistent_errors": 0, "latest_check_at": "2026-09-15T05:02:08.890Z", "latest_check_age_minutes": 0.4 },  "schedulers": { "active": 62, "ok": 62, "starting": 0, "late": 0, "not_started": 0 },  "source_errors": { "count": 1, "persistent": 0 },  "version": { "id": "…", "tag": "", "deployed_at": "…" },  "checked_at": "2026-09-15T05:02:34.383Z"}

status is ok, degraded (a non-critical part is having trouble — see the degraded array for which) or unavailable (no usable price data). HTTP 200 for ok/degraded, 503 for unavailable. Useful as an uptime-monitor target if you depend on this API.

Full route and parameter reference: docs/api.md.

Use with AI assistants (MCP)

InferIndex is also available as a remote MCP server, so an AI assistant can look up prices for you:

  • Endpoint: https://mcp.inferindex.dev/mcp (Streamable HTTP) (https://api.inferindex.dev/mcp also works, as an alias)
  • Listed in the official MCP Registry as io.github.InferIndex/inferindex.
  • Read-only, no authentication. An API key can be passed in the x-api-key header.
  • Limits: 120 requests per minute per IP on /mcp, at most 10 JSON-RPC messages per batch and 64 KB per request (otherwise 400 or 413 with JSON-RPC error -32600). Over the rate limit: 429 with JSON-RPC error -32000. Each tool call also counts toward the limit of the API route it uses (/cheapest, /resellers, /history, /self-host, /gpus, /gpu-rentals).
ToolWhat it does
search_models(query)Find the exact id of a model
cheapest(model, …)Cheapest offers, with the same filters as /cheapest (min_context, tools, json, vision, region, no_training, no_waitlist, strict, include_tiers), optional usage (prompt_tokens, output_tokens, cached_ratio, requests_per_day) and limit
compare_providers(model, sort, limit, …)Every offer, one line per provider, with usage conditions and reliability
price_history(model, days | from + to | at, granularity, provider, limit)Offer price history, plus the lab's official prices
estimate_cost(model, prompt_tokens, output_tokens, cached_ratio, requests_per_day)Estimated cost per request and per month, sorted
list_gpus()GPU types tracked for rental prices, with the lowest price of each tier
gpu_rentals(gpu, tier, gpu_count, region, detail)Rental offers for one GPU, one block per tier
self_host_or_api(model, tokens_per_day, utilization, …)Self-host an open-weights model on rented GPUs, or use the cheapest API offer? Hardware rental only, see how the answer is built

Every result includes api_url, the equivalent API call, so you can check or reuse it.

cheapest, compare_providers and estimate_cost return a compact view by default: the winner in detail and one short line per other offer. Pass detail: "full" to get every field of every offer. In the compact view, an absent condition was not published by the provider (it never means "no"), and a flag that is not listed in signals is false.

Setup

For Cline and other agents that install servers themselves, see llms-install.md.

Claude Code

bash
claude mcp add --transport http inferindex https://mcp.inferindex.dev/mcp

With an API key, add --header "x-api-key: YOUR_KEY".

Claude Desktop / claude.ai: Settings → Connectors → Add custom connector, URL https://mcp.inferindex.dev/mcp. Older Claude Desktop versions, in claude_desktop_config.json:

json
{ "mcpServers": { "inferindex": { "command": "npx", "args": ["-y", "mcp-remote", "https://mcp.inferindex.dev/mcp"] } } }

Cursor: one click, or add it by hand.

[Add to Cursor]

In ~/.cursor/mcp.json:

json
{ "mcpServers": { "inferindex": { "url": "https://mcp.inferindex.dev/mcp" } } }

With an API key, add "headers": { "x-api-key": "YOUR_KEY" } next to "url".

Codex CLI

bash
codex mcp add inferindex --url https://mcp.inferindex.dev/mcp

Or in ~/.codex/config.toml:

toml
[mcp_servers.inferindex]url = "https://mcp.inferindex.dev/mcp"

With an API key, add env_http_headers = { "x-api-key" = "INFERINDEX_API_KEY" } to that table and set the INFERINDEX_API_KEY environment variable.

Contributing

Documentation fixes and example contributions are welcome — open a pull request or an issue. This repository covers the public API surface only; the backend itself is not open source.

License

  • Documentation (this README, docs/): CC BY 4.0. Reuse and adapt it freely, with credit to InferIndex.
  • Code (examples, snippets, client SDK): MIT.

These licenses cover this repository only, not the InferIndex backend or its price data.

Source: README.md at commit 0344797

Tools

8

search_models

Search models

Find the exact id of an LLM tracked by InferIndex from a name or partial name (e.g. 'deepseek', 'qwen3 max', 'claude opus'). Returns matching model ids and names, best match first.

Parametersqueryrequired

cheapest

Cheapest offers for a model

Cheapest current API offers for one model across direct providers and aggregators, in USD per 1M tokens (input, output, blended 3:1). Stale prices, and flex/batch tiers, are excluded by default. Optional filters (context, tools, JSON, vision, region, no training on prompts, open sign-up) and usage (tokens per request, requests per day) to get an estimated cost per request and per month. Returns the winner in detail and one short line per following offer. A condition that is absent was not published by the provider, it never means "no"; a flag not listed in signals is false.

Parametersjsonlimitmodelrequiredtoolsdetailregionstrictvisionmin_contextno_trainingno_waitlistcached_ratio+4 more

compare_providers

Compare providers for a model

Current offers for one model, one line per provider and source (direct or via an aggregator), cheapest first (10 by default), with price, quantization, signals and training on prompts when published; the cheapest offer comes in detail. Pass detail: "full" for context, every published condition (data regions, sign-up) and reliability from official status pages on each offer.

Parameterssortlimitmodelrequireddetailregionstrictno_trainingno_waitlistcached_ratioinclude_tiersoutput_tokensprompt_tokens+1 more

price_history

Price history of a model

Price history of one model: every offer tracked by InferIndex (daily or weekly min/max/last price in USD, or raw price changes), plus the official price of the model's lab over time. Give either days, or from/to (YYYY-MM-DD), or at (a date) for the prices in effect that day.

Parametersattodaysfromlimitmodelrequiredprovidergranularity

estimate_cost

Estimate the cost of a workload

Estimated cost of a workload on one model at each provider: cost per request, and per month if requests_per_day is given, taking the provider's tiered pricing and prompt-cache price into account. Offers sorted by estimated cost, cheapest first: the cheapest in detail, then one short line per offer with its estimated cost.

Parameterslimitmodelrequireddetailcached_ratiooutput_tokensprompt_tokensrequests_per_day

list_gpus

GPU types tracked for rental prices

GPU types whose rental price InferIndex tracks (H100, A100, L40S…), with the lowest price per GPU per hour in USD for each tier (guaranteed, community, spot) and the number of GPUs of that configuration. Prices are per GPU per hour, as published by each provider, and dated. Tiers are different products and are never compared with each other.

Takes no parameters.

gpu_rentals

Rental offers for one GPU, by tier

Rental offers for one GPU type: provider, price in USD per GPU per hour, number of GPUs in the published configuration, billing and region when published. One block per tier (guaranteed, community, spot), each with its own cheapest offer, also given per configuration (cheapest_by_gpu_count: the price per GPU of a single GPU and of a multi-GPU node are not comparable); tiers are never compared with each other. guaranteed: capacity the provider presents as not interrupted; community: third-party hosts; spot: interruptible capacity. Prices are as published by the provider, and dated. Get the GPU id from list_gpus.

Parametersgpurequiredtierdetailregiongpu_count

self_host_or_api

Self-host an open model or use the API?

Is it cheaper to host an open-weights model yourself on rented GPUs, or to use the cheapest API offer? Returns a one-sentence verdict (headline) and the numbers behind it: the break-even volume in million tokens per day, the throughput the whole configuration must deliver for self-hosting to cost less (required_tokens_per_second: compare it with what your setup does), the break-even utilization when a throughput is known, the GPU configuration and its hourly price, and what the verdict rests on (confidence). Without a volume you still get the verdict and the break-even volume. It is an estimate: the throughput is a published measurement (measured), an estimate scaled from one (derived; estimated for a wide range), or a published minimum (lower_bound: a floor, valid for requests of up to 2,048 tokens in total, that can show self-hosting wins, never that the API is cheaper); or you give your own tokens_per_second. When no published figure decides, the headline gives the break-even volume and the required throughput, to compare with yours, rather than a yes or no, and may point out a dearer setup that published figures do decide (settled_alternative: for comparison, not a recommendation). headline_kind and headline_values give the headline as fields. It declines to give a number (status refused, with a reason) when it cannot do so reliably, for example a closed model, weights that do not fit the requested GPU, or a GPU nobody rents. Hardware rental only: the hourly price the provider publishes for the machine. It does not count the engineering to deploy and run the model, monitoring, redundancy, start-up time, or storage and network costs billed separately.

Parametersgputiermodelrequireddetailgpu_countutilizationquantizationoutput_tokensprompt_tokenstokens_per_dayweights_marginrequests_per_day+1 more

Version history

1
  1. v1.0.0LatestSep 18, 2026

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