Inflection: Inflection 3 Pi

Public pricingIntelligence 79/100Small memory

Inflection: Inflection 3 Pi은 일반 대화, 분석, 운영 환경에 맞춘 텍스트 모델입니다. 안정적인 범용 성능, 8K tokens의 컨텍스트, 프리미엄 특성을 결합해 general chat, analysis, and production workloads에서 안정적인 작업을 돕습니다. 특히 품질, 속도, 비용가 중요한 경우에 잘 맞으며, 안정적인 출력, 유연한 배포, 확장성을 중시하는 팀에 실용적입니다. 안정적인 응답, 넓은 문맥 처리, 그리고 시제품부터 운영까지 이어지는 유연성이 필요할 때 유용합니다. 안정적인 응답, 넓은 문맥 처리, 그리고 시제품부터 운영까지 이어지는 유연성이 필요할 때 유용합니다.

Input

$2.50/1M

Output

$10.00/1M

Cached

$0.25/1M

Batch

$1.25/1M

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Technical specifications

Inflection 3 Pi at a glance.

Memory

8,000

tokens

Max reply

1,024

tokens

Memory tier

Small

a few emails or a short document

Tokenizer

Released

Oct 2024

Training cutoff

Jul 2024

Availability

Public pricing

Status

active

What it can do

Capabilities & limits.

  • Understands images
  • Deep step-by-step thinking
  • Uses tools / calls functions
  • Strict JSON output
  • Streams replies
  • Fine-tunable on your data

When to pick Inflection 3 Pi

  • Inflection 3 Pi fits general-purpose text tasks within its memory tier.

When to look elsewhere

  • Your workload involves images — pick a vision-capable model instead.
  • You need tool-use / function calling for agent workflows.
  • Your inputs routinely exceed short documents.

FAQ

Inflection 3 Pi — the questions we see most.

Pricing, capabilities, alternatives — generated from the same data that powers the calculator above.

Get instant answers from our AI agent

At a typical workload of 50,000 conversations a month with 1,500-token prompts and 800-token replies, Inflection 3 Pi costs roughly $588 per month. Input is $2.50 /1M tokens and output is $10.00 /1M tokens.
Inflection 3 Pi has a 8,000-token context window (small memory — a few emails or a short document). That means you can fit about 1,500 words of input and history in a single call.
Inflection 3 Pi was released in October 2024, with training data cut off around July 2024.
Models in a similar class include Inflection 3 Productivity, Nova Premier 1.0, Command A. The "Similar models" section below this FAQ links into each.

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