Homeabab7-chat-preview
N/A
Model parameter quantity
MiniMax
Affiliated organization
Closed Source
License Type
November 6, 2024
Release time
Model Introduction
The abab7-preview model, produced by MiniMax, is an API model that shows significant improvements over the abab6.5 series in capabilities such as handling long texts, mathematics, and writing.
Comprehensive score
Language dialogue
Knowledge reserve
Reasoning association
Mathematical calculation
Code writing
Command following
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Language comprehension ability
Often makes semantic misjudgments, leading to obvious logical disconnects in responses.
5.0
Knowledge coverage scope
Possesses core knowledge of mainstream disciplines, but has limited coverage of cutting-edge interdisciplinary fields.
7.3
Reasoning ability
Unable to maintain coherent reasoning chains, often causing inverted causality or miscalculations.
5.5
Model comparison
abab7-chat-preview vs Doubao-Seed-1.6-251015 (Thinking)
The deep reasoning model released by ByteDance, which supports manual switching of deep reasoning, and its performance is significantly improved compared to doubao-1.5.
abab7-chat-preview vs Doubao-Seed-1.6-thinking-250715
The latest version of the seed series model launched by ByteDance, which supports the thinking mode.
Related model
MiniMax-M2.7
MiniMax-M2.7 is MiniMax’s new-generation general-purpose large model. By building an Agent Harness system, it deeply participates in its own training and optimization process, can take on 30%–50% of the workload in some R&D scenarios, and achieves about a 30% improvement on internal evaluation benchmarks.
MiniMax-M2.1
The latest flagship model released by Minimax features excellent general capabilities, advanced programming capabilities, powerful agent performance, and efficient architecture design.
MiniMax-M2
The latest flagship model released by Minimax features excellent general capabilities, advanced programming capabilities, powerful agent performance, and efficient architecture design.
MiniMax-Text-01
MiniMax-Text-01 is a powerful language model with 456 billion total parameters, of which 45.9 billion are activated per token. To better unlock the long context capabilities of the model, MiniMax-Text-01 adopts a hybrid architecture that combines Lightning Attention, Softmax Attention and Mixture-of-Experts (MoE).
MiniMax-M1-80k
The world's first open-weight, large-scale hybrid-attention reasoning model released by Minimax
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