Inflection: Inflection 3 Pi

Public pricingIntelligence 79/100Small memory

Inflection: Inflection 3 Pi est un modèle texte conçu pour conversation générale, analyse et usage en production. Il associe des performances générales stables, un contexte de 8K tokens et un profil premium pour un travail fiable sur general chat, analysis, and production workloads.

Input

$2.50/1M

Output

$10.00/1M

Cached

$0.25/1M

Batch

$1.25/1M

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What would Inflection 3 Pi cost you?

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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.

Alternatives

Similar models to compare.

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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