Introduction to Various AI Translation Engines Built into Doclingo

Feb 20, 2025

1. GPT-4o mini

GPT-4o mini is a high-performance AI model launched by OpenAI in July 2024. It offers a better cost-performance ratio while maintaining strong performance. Whether handling complex contexts, performing multimodal analysis, or executing advanced mathematical and programming tasks, GPT-4o mini meets the demands of various high-requirement AI application scenarios.

Core Capabilities

• 128K tokens ultra-large context window
• Multimodal capabilities supporting text and visual inputs
• Outperforms GPT-3.5 Turbo in academic benchmark tests
• Excellent mathematical reasoning and programming abilities
• Supports real-time online search

Best Use Cases

• Large-scale text analysis: Handling long documents, codebases, or complex conversation histories
• Multimodal collaboration: Serving as a core component in complex AI systems
• Intelligent customer service: Providing accurate, context-relevant real-time support
• Data extraction and analysis: Extracting valuable information from structured and unstructured data

2. GPT-4o

GPT-4o is a revolutionary multimodal AI model capable of processing and understanding audio, visual, and text information in real-time. Launched by OpenAI in May 2024, it offers users an unprecedented natural human-computer interaction experience, suitable for various complex communication and creative scenarios.

Core Capabilities

• Multimodal input and output: Supports processing and generation of text, audio, and images
• Ultra-fast real-time response: Average response time for audio input is only 320 milliseconds
• Strong multilingual processing: Supports over 20 major languages, significantly enhancing non-English text processing capabilities
• Outstanding performance metrics: Excels in multiple benchmark tests, such as MMLU, HumanEval, and MGSM

Best Use Cases

• Global business communication: Real-time multilingual translation and dialogue, breaking down language barriers
• Creative content production: Multimodal content understanding and generation, inspiring creative ideas
• Intelligent meeting assistant: Automatically records meeting content and generates accurate summaries
• Personalized educational tutoring: Providing customized learning support based on student needs

3. Gemini 2.0 Flash

Gemini 2.0 Flash is the latest multimodal AI model launched by Google in December 2024. It can handle text and image content, assisting users in completing various complex multimodal tasks. Whether for daily conversations, content creation, or application development, Gemini 2.0 Flash provides powerful AI support.

Core Capabilities

• Supports multimodal input and output, including text and images
• Significantly improved performance, with response speed twice that of previous versions
• Can integrate with third-party user-defined functions

Best Use Cases

• Intelligent content creation: Generating articles, reports, or presentation materials with rich text and images
• Multilingual communication assistant: Real-time translation to facilitate cross-language communication
• Visual analysis and processing: Analyzing image content to provide in-depth insights
• Developer tools: Integrating into applications via API to achieve complex AI functionalities

4. Claude 3.5 Haiku

Claude 3.5 Haiku is a next-generation high-speed AI model launched by Anthropic on October 22, 2024. It provides users with fast responses and excellent coding, tool usage, and reasoning capabilities, helping you efficiently complete various complex tasks. Whether you are a developer, content creator, or data analyst, Claude 3.5 Haiku can be your reliable AI assistant.

Core Capabilities

• Ultra-fast response speed, significantly enhancing work efficiency
• Strong code generation and optimization capabilities to assist development work
• Precise tool usage and instruction execution abilities
• Excellent reasoning capabilities, adaptable to complex problem-solving
• Multilingual support to meet global user needs
• Supports real-time online search

Best Use Cases

• Code assistant: Quickly generating, completing, and optimizing code to accelerate the development process
• Intelligent customer service: Providing efficient user interaction services for e-commerce, education, and other platforms
• Data processing expert: Efficiently handling complex data in finance, healthcare, and research fields
• Content moderation tool: Providing real-time, accurate content moderation for social platforms

5. Claude 3.5 Sonnet V2

Claude 3.5 Sonnet V2 is a next-generation large language model launched by Anthropic on October 22, 2024. It features enhanced reasoning capabilities, top-notch programming skills, and advanced computer usage abilities, providing powerful AI assistance for developers, data scientists, and researchers.

Core Capabilities

• Enhanced reasoning capabilities supporting complex problem-solving
• Advanced programming abilities covering the entire lifecycle from design to maintenance
• Computer usage capabilities (currently in official testing phase, not yet supported), reliable operation of computer interfaces
• Visual data processing capabilities, supporting extraction of chart and graphic information
• Supports real-time online search

Best Use Cases

• Full-stack development: Assisting the entire software development process as a coding assistant
• Intelligent dialogue systems: Connecting multiple systems and tools to provide data analysis and processing
• Knowledge base Q&A: Handling large-scale knowledge bases to answer questions related to documents and code
• Data visualization analysis: Extracting and analyzing chart information to support data science tasks

6. DeepSeek V3

DeepSeek V3 is a groundbreaking AI model that employs a mixture of experts architecture with 671 billion parameters. Launched by DeepSeek-AI in December 2023, it demonstrates exceptional capabilities in mathematics, programming, and reasoning tasks. Each token activates 37 billion parameters, supporting a context length of 128K, setting a new standard for AI performance and versatility.

Core Capabilities

• Advanced MoE architecture with a total parameter count of 671 billion
• Extended context length of up to 128K tokens
• Innovative auxiliary loss load balancing strategy
• Multi-token prediction training objectives
• Excellent benchmark test results:
  • MMLU: 87.1%
  • C-Eval: 90.1%
  • GSM8K: 89.3%
  • HumanEval: 65.2%

Best Use Cases

• Mathematical problem solving: Outstanding performance in mathematical reasoning and computation
• Advanced code development: Enhanced capabilities across multiple programming languages
• Long document processing: Handling contexts of up to 128K tokens
• Multilingual tasks: Excellent performance in multiple languages, including Chinese and English
• Complex reasoning: Possessing advanced logical analysis and problem-solving abilities

7. Gemini 1.5 Pro

Gemini 1.5 Pro is a powerful AI model launched by Google in February 2024. This multimodal model features groundbreaking long text understanding capabilities, helping users process and analyze large-scale complex information, suitable for professional users and developers requiring deep content understanding and multimodal processing.

Core Capabilities

• Ultra-long context understanding: Processing information up to 1 million tokens
• Multimodal processing: Simultaneously handling text, code, and images
• Efficient mixture of experts architecture: Enhancing model efficiency and specialization
• Outstanding performance: Outperforming Gemini 1.0 Pro in 87% of benchmark tests

Best Use Cases

• Long document analysis: Analyzing documents over 400 pages long, performing complex reasoning across documents
• Video content understanding: Analyzing entire movies, identifying detailed plots
• Large-scale code processing: Analyzing over 100,000 lines of code, providing modification suggestions
• Multimodal information integration: Handling complex projects containing text and images