Prime Intellect: INTELLECT-3

prime-intellect/intellect-3

131KContext Window

131KMax Output

Supported Protocols:reasoninginclude_reasoningmax_tokenstemperaturetop_pfrequency_penaltypresence_penaltytop_krepetition_penaltytoolstool_choiceresponse_formatstructured_outputs

Online

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.

Capabilities

🧠 Reasoning🔧 Function CallingText GenerationCode GenerationAnalysis & Reasoningmodels.reasoning

Technical Specs

Input Modality

Text

Output Modality

Text

Arch

—

Default Temperature

0.6

Pricing

Pay per use, no monthly fees

Input Token< ¥0.001/1K Token

Output Token< ¥0.001/1K Token

Quick Start

from openai import OpenAI

client = OpenAI(
    base_url="https://api.uniontoken.ai/v1",
    api_key="YOUR_UNIONTOKEN_API_KEY",
)

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

print(response.choices[0].message.content)

FAQ

Prime Intellect: INTELLECT-3

prime-intellect/intellect-3

In< ¥0.001/1K

Out< ¥0.001/1K

Context Window131K

Max Output131K

Start Using →View Integration Docs

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