Inflection: Inflection 3 Pi

Public pricingIntelligence 79/100Small memory

Inflection: Inflection 3 Pi is een tekst-model voor algemene chat, analyse en productiegebruik. Het combineert stabiele algemene prestaties, een context van 8K tokens en een premium-profiel voor betrouwbaar werk in 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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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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