Gemini 2.0 Flash Lite is the fastest model in the Gemini 2.0 series, optimized for higher cost-effectiveness and lower latency. It is designed to handle high-throughput lightweight tasks and supports multimodal inputs (such as images, documents, and audio), with a large input token limit

GPT-4.1 mini is a small and medium-sized multimodal model launched by OpenAI. It supports a context of one million tokens and can handle text, images, and videos. Its performance is comparable to that of GPT-4o. It scored 73% in the MMMU test, surpassing the previous generation. The latency is reduced by half, and the cost is reduced by 83%. It is suitable for developers to call through the API to handle long content and visual tasks.

Claude 3 Opus is a top - tier large - scale model launched by Anthropic. It belongs to the high - end version of the Claude 3 series and has multimodal capabilities, supporting a context window of 200,000 Tokens. It features a leading intelligence level, outperforming its peers in benchmark tests such as MMLU and GPQA. It can deeply understand complex tasks and achieve human - like interactions. It is suitable for scenarios such as task automation (API/database operations), R & D (drug R & D, research review), and strategic analysis (financial trend prediction, chart interpretation).

Gemini 2.0 Flash is a multimodal AI model launched by Google and is a sub - model of the Gemini 2.0 suite. It has the capabilities of text understanding, image generation and editing, supports a context window of 1 million tokens, and its response speed is twice as fast as that of 1.5 Pro. It is suitable for scenarios such as advertising design, social media content creation, and educational illustration generation. Developers can access it through Google AI Studio and the Gemini API.

Claude Haiku 4.5 is a small hybrid inference AI language model launched by Anthropic. Its performance is close to that of the medium-sized model Sonnet 4, and its cost is only one-third of it, with the inference speed more than doubled. It has the ability to process a context of 200,000 tokens, supports multimodal prompts, and has an AI security level of ASL-2. It is suitable for real-time response scenarios such as intelligent customer service, programming assistance, and conversational assistants, and can be integrated through the Claude application, API, and major cloud platforms.

Gemini 2.5 Flash is a lightweight multimodal AI model launched by Google. It supports text, image, audio, and video inputs, has adaptive inference capabilities, and improves token usage efficiency by 20 - 30%. It is suitable for high-throughput, low-latency tasks such as translation, classification, and multimodal interaction, and is open to developers and enterprise users.

Claude Sonnet 4.5 is a mid - range balanced AI model released by Anthropic in September 2025. It belongs to the "medium - sized" product in the Claude series, positioning as a compromise between performance and cost. It has outstanding programming capabilities, with a score of 77.2% in the SWE - bench Verified test, supports continuous programming for over 30 hours, and can build production - level applications. It also has both efficient reasoning and visual processing capabilities, with a fast response speed and moderate cost, suitable for software development, complex intelligent agent construction, and enterprise - level tasks.

Gemini 2.5 Flash - Lite is a lightweight AI inference model (preview version) launched by Google, featuring ultra - fast response and cost optimization. It is the fastest Gemini model currently. It supports multimodal input, a 1 - million - token context, and Google's native tools (such as search and code execution). It is suitable for high - throughput, low - latency scenarios (such as translation and classification) and provides API services for developers.

Qwen3-Coder-Plus is an enhanced code generation model in Alibaba's Tongyi Qianwen series. It belongs to the 480B parameter Mixture of Experts (MoE) architecture, with 35 billion active parameters and a 1M context window. It features strong code understanding and generation capabilities, supports multiple languages and complex logical reasoning, and its performance is comparable to Claude Sonnet. It is suitable for intelligent agent programming tasks such as large project analysis and code library operations.

Qwen3-Max is the most advanced large model in Alibaba's Qwen3 series. It has trillions of parameters, is pre - trained on 36T tokens, supports a context of over 260,000 tokens, covers multiple languages, and has an explicit reasoning mode. It is suitable for complex tasks such as enterprise - level policy Q&A, code review, and data analysis.

Qwen3-omni-flash-realtime is a real-time full-modal AI model launched by Tongyi Qianwen of Alibaba. It supports multimodal processing of text, images, audio, and video, and has real-time interaction capabilities such as streaming conversations and mid-way interruption. It can be applied to scenarios such as voice assistants, multimedia analysis, and intelligent editing, and supports 119 text languages and 20 voice interactions.

Qwen3-TTS-Flash-Realtime is a real-time text-to-speech model launched by Tongyi of Alibaba. The first packet delay is 97ms. It supports 17 timbres, 10 languages, and 17 dialects. The speech is natural and fluent. It is suitable for scenarios such as intelligent customer service, audiobooks, AI teachers, and film and television dubbing.

Kimi-K2 is an open-source large language model with a trillion parameters based on the MoE architecture, with 32 billion active parameters. It uses the MuonClip optimizer to achieve efficient training. Its features include outstanding code generation, tool invocation, and mathematical reasoning abilities. It is fast and supports the decomposition of complex tasks, and can generate visual data analysis reports. It is suitable for scenarios such as programming development, professional data analysis, and text creation.

Doubao-1.5-pro-32k is a product in the ByteDance Doubao large model series, which is a large AI model. It uses a sparse MoE architecture, featuring low hardware costs, high inference efficiency, and strong multimodal capabilities. It supports visual understanding and real-time voice interaction. In evaluations of knowledge, code, reasoning, etc., it outperforms models such as GPT-4o. It is suitable for scenarios such as copywriting generation and intelligent interaction.

Doubao-Seedance-1.0-pro is a large video generation model launched by ByteDance. It supports text-to-video and image-to-video generation, with an output resolution of 1080P and a maximum duration of 10 seconds. Features: Seamless switching between multiple shots, natural dynamic effects, stable subject movement, fast generation speed (about 40 seconds for a 5-second video), and low cost (about 3.6 yuan for a 5-second 1080P video). It is applied in scenarios such as creative content production, marketing videos, and social entertainment, and is available through platforms such as Jimeng AI and Volcengine.

Grok Code Fast 1 is a low-latency coding model developed by xAI. It is based on the MoE architecture, has 314 billion parameters, and a 256K context window. It features high speed (92 - 190 tokens/second) and low cost, supports tool calls and structured output, and is suitable for IDE integration, CI pipelines, and intelligent agent coding tasks. It can quickly complete code generation, debugging, and refactoring.

DeepSeek-V3.1 is a large language model released by the Chinese AI company DeepSeek in August 2025. It adopts a hybrid inference architecture and a 671 billion parameter MoE design, supporting the switch between "thinking" and "non-thinking" dual modes, and unifying general dialogue, complex reasoning, and coding capabilities. Its agent capabilities are enhanced and can be used for tool usage, multi-step reasoning, and programming assistance. The API has been opened, and an MIT open-source license is provided, making it suitable for scenarios such as agent development and financial risk control.

Hunyuan-T1-latest is a large deep inference model launched by Tencent in March 2025. It adopts the Hybrid-Transformer-Mamba MoE architecture and has a parameter scale in the trillions. It has super-strong long-text capture, mathematical/logical reasoning, and code generation capabilities. The decoding speed is 60 - 80 tokens/s. It supports API calls and is suitable for scenarios such as complex problem solving, scientific computing, and AI search.

Tencent Hunyuan Video Generation is an AI video generation and processing technology service launched by Tencent. Based on multi-modal fusion technology, it supports functions such as video special effects, stylized conversion, and image dynamicization. Features include high-coherence motion generation and accurate semantic understanding. It is suitable for scenarios such as short video creation, advertising and marketing, and educational content production, which can lower the threshold for professional production and improve content production efficiency.

Qwen-VL-Max is an enhanced visual language model in the Tongyi Qianwen series of Alibaba Cloud. It is positioned as the most powerful multimodal model, supporting image-text understanding and generation. Its feature is that its visual reasoning ability is better than that of Qwen-VL-Plus. It is suitable for complex image-text interaction scenarios, such as image content analysis, construction of multimodal Agent systems, and high-precision image-text generation tasks.

GPT-5 Mini is a lightweight language model launched by OpenAI, focusing on high efficiency and low cost. It is suitable for structured tasks such as form filling, data extraction, and standardized content generation. It reduces the demand for computing resources, enabling small and medium-sized enterprises to afford high-quality AI services. It balances performance and cost and is a reliable choice for teams with limited budgets.

GPT-5 nano is an ultra-low-latency large model launched by OpenAI. It is a lightweight API-specific version, focusing on speed and cost optimization. The pricing for input tokens is half of that of GPT-4o. It supports token caching and fine-grained inference control, making it suitable for high-frequency, low-inference tasks and development scenarios with extremely high requirements for response speed, such as real-time interaction and batch queries.

Qwen3-235B-A22B-Instruct-2507 is an ultra-large-scale causal language model open-sourced by Alibaba. It adopts a mixture-of-experts architecture with a total of 235 billion parameters and 22 billion active parameters. It has capabilities such as mathematical reasoning and code generation, surpasses GPT-4o in core benchmarks, and has an inference cost as low as one-third. It is suitable for the deployment of complex enterprise-level tasks.

GPT OSS 120B is a large language model with hundreds of billions of parameters open-sourced by OpenAI in 2025. It adopts a mixture-of-experts architecture and can be deployed on a single H100 GPU. It has strong reasoning and Agent capabilities, supports reasoning cost adjustment and thought chain tracing, and is under the Apache 2.0 license, suitable for production-level tasks and intelligent agent development.

Claude Opus 4.1 is a top - tier large language model developed by Anthropic and is the core engine of the Claude family. It features excellent long - text processing capabilities (with a context of over 200,000 characters) and strong complex reasoning abilities. It scored 74.5% on the SWE - bench coding test, supports multimodal input, and uses Constitutional AI technology to ensure safety. It is suitable for professional scenarios such as enterprise - level document analysis, code refactoring, and academic research.

Qwen-Flash is a high-performance, lightweight model in the Qwen3 series released by Tongyi Lab of Alibaba. It optimizes general task processing, logical reasoning, and Chinese and English comprehension, supports a context of one million characters, has a fast response speed and low cost, and is suitable for intelligent customer service, content generation, document analysis, and agent applications. It has been launched on the Alibaba Cloud Bailian platform.

Doubao-Seed-1.6-thinking is an enhanced version of the Doubao large model series 1.6 for deep thinking. It belongs to the large language model optimized for code and logical reasoning. It features support for a super-long context of 256K, with significant improvements in basic capabilities such as mathematical reasoning and code writing. It ranks among the world's top in complex reasoning tests and can independently plan and use search tools to complete in-depth research tasks. It is suitable for the implementation of complex business scenarios, such as quickly generating professional research reports, solving high school entrance examination-level math problems, and high-precision code development, which require strong logical analysis.

GLM-4.5 is an open-source Mixture of Experts (MoE) large language model with a total of 355 billion parameters (32 billion activated), supporting hybrid reasoning of thinking and direct response. After training on 23 trillion tokens, it performs excellently in agent, reasoning, and coding tasks. For example, it scores 70.1% on TAU-Bench, 91.0% on AIME 24, and 64.2% on SWE-bench Verified. There are versions with 355 billion parameters and a lightweight version with 106 billion parameters, suitable for complex reasoning, tool invocation, and fast response scenarios.

GLM-4.5-Flash is an open-source foundation model released by Zhipu AI. It uses a Mixture of Experts (MoE) architecture, provides dual inference modes of thinking/non-thinking, and supports tool invocation and multi-framework compatibility. It is suitable for agent development, code generation, and complex reasoning. The MIT license allows commercial use, offering high cost-effectiveness.

GLM-4.5-AirX is a lightweight hybrid inference large model launched by Zhipu AI, with a total of 106 billion parameters (12 billion active parameters). It adopts the MoE architecture, natively integrates inference, encoding, and agent capabilities, and supports both thinking (complex reasoning/tool use) and non-thinking (instant response) modes. It is suitable for agent development, local deployment, and multilingual processing. It is open-source and commercially available under the MIT license.