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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.
Quality Index
22.2
170th of 442
Top 38%
Coding Index
19.1
153rd of 352
Top 43%
Math Index
88.0
36th of 268
Top 14%
Price/1M
$0.00
1st cheapest
100% below median
Top 27%
Speed
0 tok/s
TTFT
0.00s
Context Window
131K
145th largest
Top 63%
Input
$0.00
per 1M tokens
Output
$0.00
per 1M tokens
Blended
$0.00
per 1M tokens
Cheaper than 73% of models. Median price is $0.31/1M tokens.
Daily
$0.00
Monthly
$0.00
0
tokens/sec
Faster than 0% of models
0.00
seconds
Faster than 61% of models
0.00
seconds
Faster than 61% of models
Market Median
46 tok/s
100% slower
Median TTFT
0.42s
100% faster
Speed Comparison
Context Window
131K
tokens
Larger than 37% of models
Max Output
131K
tokens
100% of context