Current model prices (USD / 1M tokens), context windows and capabilities — plus what's trending in the open-model ecosystem.
Keyless over MCP, or one REST call with a free key. Every datapoint is provenance-stamped and citeable.
# REST (free key)
curl -H "X-API-Key: $KEY" "https://dynamicfeed.ai/models?query=gpt"
# MCP (keyless) — point any client at https://dynamicfeed.ai/mcp, then call:
search_ai_models(query="gpt") · ai_models(sort="trending")
{ "model": "example-4o", "provider": "openai", "input_per_1m": 2.5,
"output_per_1m": 10, "context": 128000, "vision": true }
Model lineups and prices change constantly and a model can't reliably quote its own — let alone competitors'. This serves current pricing/capabilities so an agent recommends and budgets accurately.
Tracked live from LiteLLM (MIT) plus Hugging Face metadata for trending open models.
Both — search_ai_models for closed flagships with pricing, ai_models for the open ecosystem.
MCP is keyless; REST uses a free key.