intellect-3 by openrouter - AI Model Details, Pricing, and Performance Metrics
intellect-3
completionsintellect-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.
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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Category Scores
Benchmark Tests
| Metric | HLE | GPQA | SciCode | MMLU-Pro | LiveCodeBench | AA Math Index | AA Coding Index | AAII |
|---|---|---|---|---|---|---|---|---|
| Score | 12.1 | 76.1 | 39.1 | 82.2 | 77.7 | 88.0 | 19.1 | 22.1 |
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