Model Cost Profile

Inflection: Inflection 3 Pi

Developer: inflection

Pricing updated Mar 11, 2026

Input rank: #290Output rank: #281

Live Pricing

Input: $2.50

Output: $10.00

Pricing via OpenRouter API · Last synced Mar 11, 2026

Inflection 3 Pi, developed by Inflection, offers a substantial context window of 8000 tokens, making it suitable for applications requiring detailed and nuanced understanding, such as advanced customer support and content generation. Teams leveraging this API model should consider the input cost of $2.50 per million tokens and the output cost of $10.00 per million tokens, which can influence budget planning for high-volume usage scenarios. This pricing structure allows organizations to scale their projects efficiently while managing costs associated with extensive data processing and response generation.

Context Window

8,000

Tokens

Input Price / 1M

$2.50

Prompt tokens

Output Price / 1M

$10.00

Completion tokens

Intelligence (MMLU)

Benchmark Pending

Massive Multitask Language Understanding

Price History

Inflection: Inflection 3 Pi Pricing Trend

Input / 1M tokens0.0%Output / 1M tokens0.0%
Mar 7Mar 11
$2.50$6.25$10.00Mar 7Mar 8Mar 9Mar 10Mar 11

Current Input / 1M

$2.50

Current Output / 1M

$10.00

Cheaper Alternatives to Compare

Quick links for cost-down decisions before production rollout.

FAQ

Common pricing and benchmark questions for Inflection: Inflection 3 Pi.

How much does Inflection: Inflection 3 Pi cost per 1M input tokens?

Inflection: Inflection 3 Pi input pricing is $2.50 per 1M tokens based on the latest synced provider data.

How much does Inflection: Inflection 3 Pi cost per 1M output tokens?

Inflection: Inflection 3 Pi output pricing is $10.00 per 1M tokens based on the latest synced provider data.

What context window does Inflection: Inflection 3 Pi support?

Inflection: Inflection 3 Pi supports a context window of 8,000 tokens.

How can I compare Inflection: Inflection 3 Pi with cheaper alternatives?

Use the comparison links on this page to open direct model-vs-model pricing and benchmark pages, then evaluate monthly spend projections for your workload.