BenchmarksPrime IntellectYesterday
INTELLECT-3 Benchmark Update
Quality: 22.2/100 | Price: $0/M tokens | Output: 0 tok/s | MMLU: 0.822% | HumanEval: 0.777%
View sourcePrime-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
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Nov 2025
Released
Benchmarks
20
Recent launch, pricing, benchmark, and API signals linked to this model or its provider.
Quality: 22.2/100 | Price: $0/M tokens | Output: 0 tok/s | MMLU: 0.822% | HumanEval: 0.777%
View sourceQuality: 22.2/100 | Price: $0/M tokens | Output: 0 tok/s | MMLU: 0.822% | HumanEval: 0.777%
View sourceQuality: 22.2/100 | Price: $0/M tokens | Output: 0 tok/s | MMLU: 0.822% | HumanEval: 0.777%
View sourceQuality: 22.2/100 | Price: $0/M tokens | Output: 0 tok/s | MMLU: 0.822% | HumanEval: 0.777%
View sourceQuality: 22.2/100 | Price: $0/M tokens | Output: 0 tok/s | MMLU: 0.822% | HumanEval: 0.777%
View sourceQuality: 22.2/100 | Price: $0/M tokens | Output: 0 tok/s | MMLU: 0.822% | HumanEval: 0.777%
Quality: 22.2/100 | Price: $0/M tokens | Output: 0 tok/s | MMLU: 0.822% | HumanEval: 0.777%
Quality: 22.2/100 | Price: $0/M tokens | Output: 0 tok/s | MMLU: 0.822% | HumanEval: 0.777%
Quality: 22.2/100 | Price: $0/M tokens | Output: 0 tok/s | MMLU: 0.822% | HumanEval: 0.777%
Quality: 22.2/100 | Price: $0/M tokens | Output: 0 tok/s | MMLU: 0.822% | HumanEval: 0.777%
Quality: 22.2/100 | Price: $0/M tokens | Output: 0 tok/s | MMLU: 0.822% | HumanEval: 0.777%
Quality: 22.2/100 | Price: $0/M tokens | Output: 0 tok/s | MMLU: 0.822% | HumanEval: 0.777%
Quality: 22.2/100 | Price: $0/M tokens | Output: 0 tok/s | MMLU: 0.822% | HumanEval: 0.777%
Quality: 22.2/100 | Price: $0/M tokens | Output: 0 tok/s | MMLU: 0.822% | HumanEval: 0.777%
Quality: 22.2/100 | Price: $0/M tokens | Output: 0 tok/s | MMLU: 0.822% | HumanEval: 0.777%
Quality: 22.2/100 | Price: $0/M tokens | Output: 0 tok/s | MMLU: 0.822% | HumanEval: 0.777%
Quality: 22.2/100 | Price: $0/M tokens | Output: 0 tok/s | MMLU: 0.822% | HumanEval: 0.777%
Quality: 22.2/100 | Price: $0/M tokens | Output: 0 tok/s | MMLU: 0.822% | HumanEval: 0.777%
Quality: 22.2/100 | Price: $0/M tokens | Output: 0 tok/s | MMLU: 0.822% | HumanEval: 0.777%
Quality: 22.2/100 | Price: $0/M tokens | Output: 0 tok/s | MMLU: 0.822% | HumanEval: 0.777%
Quality: 22.2/100 | Price: $0/M tokens | Output: 0 tok/s | MMLU: 0.822% | HumanEval: 0.777%
Quality: 22.2/100 | Price: $0/M tokens | Output: 0 tok/s | MMLU: 0.822% | HumanEval: 0.777%
Quality: 22.2/100 | Price: $0/M tokens | Output: 0 tok/s | MMLU: 0.822% | HumanEval: 0.777%
Quality: 22.2/100 | Price: $0/M tokens | Output: 0 tok/s | MMLU: 0.822% | HumanEval: 0.777%
Quality: 22.2/100 | Price: $0/M tokens | Output: 0 tok/s | MMLU: 0.822% | HumanEval: 0.777%