Prime Intellect: INTELLECT-3

Public pricingIntelligence 79/100Medium memory深度思考

Prime Intellect: INTELLECT-3 是一款文本模型，适合通用对话、分析与生产场景。它结合了稳定的通用表现、131K tokens上下文和低成本定位，可在general chat, analysis, and production workloads中提供可靠表现。它适合重视质量、速度与成本的团队，能带来稳定输出、灵活部署与扩展空间。 它适合需要稳定回答、较长上下文、清晰结构和可扩展部署的团队。 它适合需要稳定回答、较长上下文、清晰结构和可扩展部署的团队。 它适合需要稳定回答、较长上下文、清晰结构和可扩展部署的团队。 它适合需要稳定回答、较长上下文、清晰结构和可扩展部署的团队。 它适合需要稳定回答、较长上下文、清晰结构和可扩展部署的团队。 它适合需要稳定回答、较长上下文、清晰结构和可扩展部署的团队。

Input

$0.20/1M

Output

$1.10/1M

Cached

$0.02/1M

Batch

$0.10/1M

Calculate your INTELLECT-3 bill.

Set your workload — see cost at your exact volume.

What would INTELLECT-3 cost you?

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1,00010,00050,000250,0001M10M

Technical specifications

INTELLECT-3 at a glance.

Memory

131,072

tokens

Max reply

131,072

tokens

Memory tier

Medium

a long report or a codebase file

Tokenizer

—

Released

Nov 2025

Training cutoff

Jun 2025

Availability

Public pricing

Status

active

Benchmarks

Quality benchmarks

Independent evaluations from public leaderboards. Higher is better.

  • aime_2024

    90.8

  • aime_2025

    88

  • gpqa_diamond

    74.4

  • math

    98.1

  • mmlu_pro

    81.9

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 INTELLECT-3

  • Multi-step reasoning, research agents, or hard math.
  • High-volume workloads where unit cost matters.

When to look elsewhere

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

Alternatives

Similar models to compare.

FAQ

INTELLECT-3 — 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, INTELLECT-3 costs roughly $59 per month. Input is $0.20 /1M tokens and output is $1.10 /1M tokens.
INTELLECT-3 has a 131,072-token context window (medium memory — a long report or a codebase file). That means you can fit about 24,576 words of input and history in a single call.
Beyond text generation, INTELLECT-3 supports deep step-by-step reasoning, strict JSON output. It streams replies by default.
INTELLECT-3 was released in November 2025, with training data cut off around June 2025.
Models in a similar class include Nemotron Nano 12B 2 VL, GPT-5.4 Nano, Grok 4 Fast. The "Similar models" section below this FAQ links into each.

Still unsure?

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