InferIndex
LLM API prices across 70+ providers: cheapest offer, comparisons, history and cost estimates.
| Endpoint | https://mcp.inferindex.dev/mcp (streamable-http) |
|---|---|
| Registry version | 1.0.0 |
| Now | 9 tools · grade C (75) · pin ts_9469bf68f604a7dd664084c4d379e167 · protocol 2025-06-18 |
| First / last listed | 2026-10-29 01:43 UTC / 2026-10-29 01:43 UTC |
| Grade over time | 2026-10-29: C (75), 9 tools |
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Tools: search_models cheapest compare_providers price_history estimate_cost provider_ranking list_gpus gpu_rentals self_host_or_api
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. params: query* |
cheapest | 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 th params: model*, min_context, tools, json, vision, region, no_training, no_waitlist, strict, include_tiers, prompt_tokens, output_tokens, cached_ratio, requests_per_day, limit, detail |
compare_providers | 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. params: model*, sort, limit, detail, region, no_training, no_waitlist, strict, include_tiers, prompt_tokens, output_tokens, cached_ratio, requests_per_day |
price_history | 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. params: model*, days, from, to, at, granularity, provider, limit |
estimate_cost | 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. params: model*, prompt_tokens, output_tokens, cached_ratio, requests_per_day, limit, detail |
provider_ranking | Providers ranked by how far below or above the market their prices are: each provider's median gap to the market, in percent (score_pct, negative when below the market), where the market of a model is the median blended 3:1 price of its providers, counted only on models with at least min_providers comparable providers (models_measured). Also the number of models where the provider holds the offer params: none |
list_gpus | 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. params: none |
gpu_rentals | 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 params: gpu*, tier, gpu_count, region, detail |
self_host_or_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 wh params: model*, tokens_per_day, requests_per_day, prompt_tokens, output_tokens, utilization, tokens_per_second, weights_margin, gpu, gpu_count, quantization, tier, detail |
Entries describe changes in tool definitions. They are not statements about a server, its quality or its author. The grade measures how the tool definitions fit model providers (token cost, schema compatibility, confusable names) as scored by the ToolFit engine at the time of the listing. JSON: append .json. Opt-out: how or hello@youraitools.co.