Prime-intellect
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,...
It offers state-of-the-art performance for its size across math,...
This model is still tracked for research and discovery, but it is excluded from default public rankings until it returns to active status.
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Quality Score
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Arena ELO
106B
Parameters
131K
Context
Use this section to answer one simple question first: how much outside evidence do we have that this model performs well? Structured benchmark scores appear first, then official provider evidence, then live arena signal.
This model has normalized benchmark rows, so scores here are directly comparable across benchmark sources.
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Nov 2025
Released
These are recent benchmark or leaderboard claims from official provider sources. They are useful for freshness and context, but they are not treated the same as normalized independent benchmark rows.
INTELLECT-3 Benchmark Update
Quality: 22.2/100 | Price: $0/M tokens | Output: 0 tok/s | MMLU: 0.822% | HumanEval: 0.777%
View sourceINTELLECT-3 Benchmark Update
Quality: 22.2/100 | Price: $0/M tokens | Output: 0 tok/s | MMLU: 0.822% | HumanEval: 0.777%
View sourceINTELLECT-3 Benchmark Update
Quality: 22.2/100 | Price: $0/M tokens | Output: 0 tok/s | MMLU: 0.822% | HumanEval: 0.777%
View sourceINTELLECT-3 Benchmark Update
Quality: 22.2/100 | Price: $0/M tokens | Output: 0 tok/s | MMLU: 0.822% | HumanEval: 0.777%
View sourceINTELLECT-3 Benchmark Update
Quality: 22.2/100 | Price: $0/M tokens | Output: 0 tok/s | MMLU: 0.822% | HumanEval: 0.777%
View sourceINTELLECT-3 Benchmark Update
Quality: 22.2/100 | Price: $0/M tokens | Output: 0 tok/s | MMLU: 0.822% | HumanEval: 0.777%
View source