01.AI’s proprietary language model (Kai-Fu Lee, 2024): dense transformer, 32K context, strong ZH/EN bilingual performance; top-10 LMSYS Arena at launch.
Context window
32K
tokens
Release date
13 May 2024
Access:APIHostedDeployment:☁ Cloud
Overview
Access & deployment
APIHosted
Cloud
Weights: Closed
Key parameters
📏 Context: 32K
📥 Input: text
Technical specification
Context window
32K
tokens
License
Proprietary
Modalities
⬇ Input
text
⬆ Output
textcode
Capabilities and applications
Native model capabilities
Language modeling
Ability to predict subsequent tokens and generate coherent natural-language text based on the preceding context.
Category: language
Reasoning
The model's ability to reason logically and solve complex problems.
Category: reasoning
Mathematical reasoning
The model's ability to solve mathematical tasks requiring multi-step reasoning — equations, proofs, combinatorics, geometry, calculus and competition-level problems.
Category: reasoning
Coding
Generating, analysing and modifying code in many programming languages. Covers writing functions, debugging, refactoring, code review, and creating tests. Measured by benchmarks such as HumanEval and SWE-bench.
Category: coding
Multilingual
Competence in many natural languages (from a few to over a hundred): understanding, generation, translation, and code-switching within a single conversation. Frontier models support a wide range of languages with comparable quality.
Category: language
Instruction following
Precisely following instructions contained in the prompt: response format, length, style, constraints (e.g. 'reply in six words'). GPT-5.1 significantly improved this capability compared to GPT-5.
Category: language
Application domains
Benchmark results
1 benchmark
Chatbot Arena (LMSYS)
ranking Elo · ranking at model launch
Top-10 (2024)
📄 LMSYS Chatbot Arena (przy premierze, 2024)
Technical architecture
Core Architecture
Model Form
Training Techniques