Homeabab6.5s-chat
N/A
Model parameter quantity
MiniMax
Affiliated organization
Closed Source
License Type
April 17, 2024
Release time
Model Introduction
abab6.5 is an API model produced by MiniMax, with the version number being abab6.5. The abab6.5 serie is a trillion-parameter Mixture of Experts (MoE) large language model. The abab6.5 is suitable for complex scenarios, such as application problem calculations, scientific computations, and other similar scenarios. The abab6.5s is suitable for general scenarios.
Comprehensive score
Language dialogue
Knowledge reserve
Reasoning association
Mathematical calculation
Code writing
Command following
Swipe left and right to view more
Language comprehension ability
Often makes semantic misjudgments, leading to obvious logical disconnects in responses.
3.8
Knowledge coverage scope
Has significant knowledge blind spots, often showing factual errors and repeating outdated information.
6.9
Reasoning ability
Unable to maintain coherent reasoning chains, often causing inverted causality or miscalculations.
4.0
Model comparison
abab6.5s-chat vs Qwen2.5-7B-Instruct
Like Qwen2, the Qwen2.5 language models support up to 128K tokens and can generate up to 8K tokens. They also maintain multilingual support for over 29 languages, including Chinese, English, French, Spanish, Portuguese, German, Italian, Russian, Japanese, Korean, Vietnamese, Thai, Arabic, and more.
abab6.5s-chat vs Hunyuan-T1-20250822
The deep reasoning model independently developed by Tencent adopts the version number hunyuan-t1-20250822.
abab6.5s-chat vs Spark-X1
The inference model Spark X1 released by iFlytek, on the basis of leading domestic mathematical tasks, benchmarks the performance of general tasks such as inference, text generation, and language understanding against OpenAI o1 and DeepSeek R1.
Related model
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
abab6.5
abab6.5 is an API model produced by MiniMax, with the version number being abab6.5. The abab6.5 serie is a trillion-parameter Mixture of Experts (MoE) large language model. The abab6.5 is suitable for complex scenarios, such as application problem calculations, scientific computations, and other similar scenarios. The abab6.5s is suitable for general scenarios.
Relevant documents
China Telecom Invests in Mianbi Intelligence, Raises Capital to 713,000 Yuan for LLM & Data Infra
The "national team" and the leading figure from Tsinghua University in the large model space are deepening their strategic alignment. On March 1, 2026, according to the latest business registration data from Qichacha, Beijing Mianbi Intelligent Techn
Taotian Group Accelerates AI-Native Restructuring, Grants Interns Free Token Quotas
TaoTian Group recently introduced the "AI Productivity Plan," designed to accelerate the integration of AI technology into e-commerce operations and R&D workflows through resource allocation and tool subsidies. The program is now available to all int
Glean targets enterprise AI infrastructure in land grab
The race to dominate enterprise AI is accelerating. Microsoft is embedding Copilot into Office, Google is integrating Gemini into Workspace, and both OpenAI and Anthropic are selling directly to corporations. Meanwhile, nearly every SaaS vendor now i
Tibetan Language Model Earns Acclaim at Beijing Science and Technology Fair
At the 28th China Beijing International Science and Technology Industry Expo, a large language model that can "understand" Tibetan and generate content using Tibetan-style thinking drew significant attention. Developed by a research team from Tibet U
Anthropic Merges with Google in $20B Bet, AI Computing Competition Intensifies
As competition in artificial intelligence intensifies, leading AI startups like Anthropic have made a major move. Sources say the company has officially committed to paying Google up to $20 billion over the next five years. This large sum will mainly
