Prime Intellect: INTELLECT-3

by Prime Intellect open-weight intelligent

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,... 106B total parameters with 12B active (MoE architecture) Post-trained from GLM-4.5-Air-Base with SFT + large-scale RL State-of-the-art performance for its size class Budget pricing at $0.20/$1.10 per 1M tokens Strong across reasoning, coding, and general intelligence benchmarks Derived from GLM-4.5 base model, not trained from scratch Smaller community and ecosystem vs Qwen/DeepSeek alternatives Limited deployment options outside of Prime Intellect/OR Cost-effective high-quality inference Open-weight fine-tuning and customization General reasoning and coding tasks Research and experimentation with MoE architectures

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Specifications

Specifications for INTELLECT-3
LabPrime Intellect
Context window131,072
Input price $0.20/1M
Output price $1.10/1M
Release2025-11-01 00:00:00

Strengths

  • 106B total parameters with 12B active (MoE architecture)
  • Post-trained from GLM-4.5-Air-Base with SFT + large-scale RL
  • State-of-the-art performance for its size class
  • Budget pricing at $0.20/$1.10 per 1M tokens
  • Strong across reasoning, coding, and general intelligence benchmarks

Weaknesses

  • Derived from GLM-4.5 base model, not trained from scratch
  • Smaller community and ecosystem vs Qwen/DeepSeek alternatives
  • Limited deployment options outside of Prime Intellect/OR

Best for

  • Cost-effective high-quality inference
  • Open-weight fine-tuning and customization
  • General reasoning and coding tasks
  • Research and experimentation with MoE architectures

In Depth: INTELLECT-3

Summary

INTELLECT-3 is an AI model from Prime Intellect.

Released 2025-11-01 00:00:00. It currently appears in the Overall category on LMRank. It supports Text input and produces Text output, with a context window of 131.1K tokens. Input pricing is $0.20 per 1M tokens and output is $1.10 per 1M tokens on OpenRouter.

Sources & Further Reading

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