INTELLECT-3

Other chatreasoningtool_use

API ID: prime-intellect/intellect-3-20251126

Input Price
$0.20
/1M tokens
Output Price
$1.10
/1M tokens

About INTELLECT-3

INTELLECT-3 is a 106B-parameter Mixture-of-Experts model (12B active) post-trained from GLM-4.5-Air-Base using supervised fine-tuning (SFT) followed by large-scale reinforcement learning (RL). It offers state-of-the-art performance for its size across math, code, science, and general reasoning, consistently outperforming many larger frontier models. Designed for strong multi-step problem solving, it maintains high accuracy on structured tasks while remaining efficient at inference thanks to its MoE architecture.

๐Ÿ’ฐ
Price Ranking
#867 lowest price among 1240 Chat models

Model Specifications

Context Length
131k
Max Output
131k
Release Date
2025-11-27
Capabilities
chat reasoning tool_use
Input Modalities
text
Output Modalities
text

Best For

  • Complex reasoning, math problems, multi-step logic
  • Conversations, content writing, general assistance

Consider Alternatives For

  • Image understanding (needs vision capability)
  • Simple Q&A (cheaper models available)

๐Ÿ’ฐ Real-World Cost Examples

Estimated monthly costs for common use cases

Personal AI Assistant
$0.42
/month
50 conversations/day, ~500 tokens each
Customer Service Bot
$12.90
/month
1000 tickets/day, ~800 tokens each
Data Analysis Pipeline
$17.70
/month
500 analyses/day, ~2k tokens each

Other Model Lineup

Compare all models from Other to find the best fit

Model Input Output Context Capabilities
INTELLECT-3 Current Free Free 131k chat reasoning tool_use
Riverflow V2 Max Preview Free Free 8k chat vision image_gen
Riverflow V2 Standard Preview Free Free 8k chat vision image_gen
Riverflow V2 Fast Preview Free Free 8k chat vision image_gen
AFM 4.5B Free Free 66k chat
AFM 4.5B Free Free 66k chat

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๐Ÿš€ Quick Start

Get started with INTELLECT-3 API

OpenAI-compatible SDK
from openai import OpenAI

client = OpenAI(
    base_url="https://api.provider.com/v1",
    api_key="YOUR_API_KEY"
)

response = client.chat.completions.create(
    model="prime-intellect/intellect-3-20251126",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)
print(response.choices[0].message.content)