(3 × $0.050 + $0.200) ÷ 4 = $0.087/1M — the $/1M figure blends input and output at 3:1 — that is the only way models with two different rates can be ranked on one axis. Your actual rate depends on your own input:output mix — input only $0.050, 3:1 $0.088, 1:1 $0.125, output only $0.200 per 1M.
The board shows this model's cheapest measured offer ($0.087/1M); the smaller figure under it is the mean of the 8 offers listed below ($0.164/1M). Add those up and divide — it matches.
Cheapest ranked by blended = (3×in + out) ÷ 4; performance columns show only when a source provides them, never estimated. “Official list” = LiteLLM open pricebook (MIT); “API-measured” = provider/aggregator public APIs. Machine-readable data: /api/v1/models/gpt-4.1-nano.json. Free reuse requires attribution to tkx.org.
About
GPT-4.1-nano is a machine-learning language model designed for natural language processing tasks. It is served by multiple inference providers on AI model marketplaces and is listed under the "azure" serving-platform tag.
AI-generated summary from public information — is this yours?
FAQ
How much does GPT-4.1 Nano (batch) cost?
Cheapest measured offer right now: $0.05/1M input, $0.2/1M output via openrouter-best — across 8 tracked providers, refreshed hourly.
Who serves GPT-4.1 Nano (batch)?
8 providers currently serve it. The table above lists each with input/output price, TTFT, TPS, uptime and an evidence tier.
Is the price of GPT-4.1 Nano (batch) going up or down?
The daily candles above track the cheapest blended price ($/1M, 3:1 in:out). TKX snapshots every hour, so drops and hikes show up the same day they happen.