AI inference pricing for agents: live and historical model prices, provider comparison.
| Endpoint | https://api.inferenceindexer.ai/mcp (streamable-http) |
|---|---|
| Registry version | 0.1.1 |
| Now | 10 tools · grade C (65) · pin ts_8f75bcd36fc0648ef083594ad7ad00b7 · protocol 2025-06-18 |
| First / last listed | 2026-10-26 06:24 UTC / 2026-10-26 06:24 UTC |
| Grade over time | 2026-10-26: C (65), 10 tools |
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Tools: recommend_models explain_model search_models get_model get_model_history list_providers get_provider get_composite_latest get_composite_history compare_providers
recommend_models | Recommend the best-value AI models for given constraints, ranked with receipts.
The core answer endpoint: give it constraints and it returns the top models
ranked by Cost/IQ (quality-adjusted price, lower is better), each with a
plain-English 'why', a hot-swap endpoint_config (provider base_url + native
model id, ready to call), as-of timestamps, and runner-ups.
Args:
params: budget_max_usd_per_m, context_min, modality, zdr, eu_sovereign, reasoning, aa_min, use_case, prefer_callable, limit |
explain_model | Get everything about one model in a single call: the full picture.
Returns current pricing (input/output/blended, Cost/IQ, 24h/7d changes),
a price-history summary with trend, all provider endpoints, the cheapest
hand-verified endpoint with its native model id (for hot-swapping),
privacy flags (ZDR/EU availability), and the AA intelligence score.
Everything is as-of stamped.
params: model_id*, history_days |
search_models | Search and list AI inference models with current pricing.
Args:
query: Text search on model id/name (optional).
tier: Filter by tier: frontier | standard | budget | micro (optional).
limit: Max results (1-100, default 25).
sort: Sort key: blended | input | output | sit_score | sit_adjusted_price (default sit_adjusted_price).
Returns: models with input/outpu params: query, tier, limit, sort |
get_model | Get full detail + current pricing for one model by its id.
Args:
model_id: Canonical model id, e.g. 'openai/gpt-5.6' or 'anthropic/claude-sonnet-5'.
Returns: pricing, tier, SIT score, quality-adjusted price (Cost/IQ).
params: model_id* |
get_model_history | Get HISTORICAL price data / trends for one model.
This is InferenceIndexer's differentiator: aggregators like OpenRouter
expose only current price; this returns the price over time (input,
output, blended $/M), enabling trend analysis.
Args:
model_id: Canonical model id, e.g. 'openai/gpt-5.6'.
days: History window in days (1-365, default 30; plan-dependent).
R params: model_id*, days |
list_providers | List all inference providers with model counts and price stats. params: none |
get_provider | Get detail for one provider: models, tier breakdown, price range.
Args:
provider_name: Provider name, e.g. 'DeepInfra', 'Novita', 'Venice'.
Returns: provider detail with model list and pricing.
params: provider_name* |
get_composite_latest | Get the current SIT-Composite index value + per-tier breakdown.
The SIT-Composite is a usage-weighted mean of the top-50 models by token
volume, reflecting what developers actually pay for inference.
params: none |
get_composite_history | Get SIT-Composite index history / trend over time.
Args:
days: History window in days (1-90, default 30).
Returns: historical composite index values.
params: days |
compare_providers | Compare the price of one model across the providers that host it.
Args:
model_id: Canonical model id, e.g. 'meta/muse-spark-1.1'.
Returns: per-provider endpoints with pricing, showing where direct
provider prices diverge (e.g. from OpenRouter's negotiated rate).
params: model_id* |
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.