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Prime Intellect: INTELLECT-3
Server-rendered model summary page for indexing/share previews. Use the interactive explorer for full filtering and comparison.
Match confidence: UnmatchedSource type: openrouter_only
Context window
131.1K
Arena overall rank
—
Input price
$0.000 / 1M
Output price
$0.000 / 1M
Identifiers & provenance
- Primary ID
- prime-intellect/intellect-3
- OpenRouter ID
- prime-intellect/intellect-3
- Canonical slug
- prime-intellect/intellect-3-20251126
Source semantics
- Arena rank is a human-preference leaderboard signal, not a universal truth metric.
- OpenRouter usage/popularity reflects adoption/traffic, not benchmark quality.
- Pricing fields may differ by provider and can include extra modes beyond prompt/completion.
Read more on Methodology & data sources.
Description
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.
Raw fields snapshot
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"name": "Prime Intellect: INTELLECT-3",
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"created": 1764212534,
"canonical_slug": "prime-intellect/intellect-3-20251126",
"hugging_face_id": "PrimeIntellect/INTELLECT-3-FP8",
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"openrouter_raw": {
"id": "prime-intellect/intellect-3",
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"hugging_face_id": "PrimeIntellect/INTELLECT-3-FP8",
"name": "Prime Intellect: INTELLECT-3",
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"description": "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.",
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}