Opus 4.6 is Anthropic's strongest model for coding and long-running professional tasks. It is built for agents that operate across entire workflows rather than single prompts, making it especially effective for large codebases, complex refactors, and multi-step debugging that unfolds over time. The model shows deeper contextual understanding, stronger problem decomposition, and greater reliability on hard engineering tasks than prior generations.

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Opus 4.6 is Anthropic's strongest model for coding and long-running professional tasks. It is built for agents that operate across entire workflows rather than single prompts, making it especially effective for large codebases, complex refactors, and multi-step debugging that unfolds over time. The model shows deeper contextual understanding, stronger problem decomposition, and greater reliability on hard engineering tasks than prior generations.
Gemini 3.1 Pro is our most advanced reasoning Gemini model, capable of solving complex problems. Gemini 3.1 Pro can comprehend vast datasets and challenging problems from different information sources, including text, audio, images, video, PDFs, and even entire code repositories with its 1M token context window.
GPT-5.4 brings together the best of our recent advances in reasoning, coding, and agentic workflows into a single frontier model. It incorporates the industry-leading coding capabilities of GPT-5.3-Codex while improving how the model works across tools, software environments, and professional tasks involving spreadsheets, presentations, and documents. The result is a model that gets complex real work done accurately, effectively, and efficiently—delivering what you asked for with less back and forth.
Gemini 3 Pro Image Preview is Google's most advanced image generation and editing model. It integrates state-of-the-art reasoning capabilities (Chain-of-Thought) into the creative process, enabling superior image quality, accurate rendering of long text passages, and complex multi-turn image editing. It excels at following intricate prompts and maintaining factuality in visual synthesis.
Grok-Imagine-Video is xAI's flagship multimodal model that pioneered native audio-visual synchronization. It generates 720p HD video clips up to 10–15 seconds with context-aware sound effects and dialogue in a single pass. Powered by the Aurora Engine and trained on the world-class Colossus cluster, it prioritizes rapid inference and creative freedom. It currently leads the "Artificial Analysis" benchmarks for short-form content, outperforming competitors in latency and temporal consistency while maintaining xAI's signature permissive content policy.
Seedance 2.0 adopts a unified multimodal audio-video joint generation architecture that supports text, image, audio, and video inputs, leading to the most comprehensive multimodal content reference and editing capabilities in the industry.
DeepSeek-V3.2 is the definitive "Reasoning-First" multimodal foundation model, utilizing the third-generation Multi-head Latent Attention (MLA) and DeepSeek-MoE architecture. This version introduces the "Dynamic Token Pruning" technology, which reduces inference latency by 40% compared to V3.0 while maintaining top-tier coding and mathematical reasoning capabilities. V3.2 is natively multimodal, capable of processing interleaved text, high-resolution images, and long-form video inputs without separate vision encoders. In 2026, it is widely recognized as the most cost-effective "GPT-5 Class" model, offering open-source weights for researchers and a highly scalable API for global developers.
Qwen3.6-Plus achieves comprehensive improvements in coding agents, general agents, and tool usage by deeply integrating reasoning, memory, and execution capabilities. In the field of coding agents, Qwen3.6-Plus demonstrates strong practical engineering performance. It not only closely matches industry leaders on mainstream code repair benchmarks but also excels in complex terminal operations and automated task execution.
Doubao-Seed-2.0-Pro (v260215) is ByteDance's most advanced foundation model to date, released during the 2026 Lunar New Year to power the next generation of AI-native applications. It introduces a breakthrough "Dense-Reasoning" transformer architecture that bridges the gap between traditional LLMs and specialized reasoning models. Specifically optimized for "Agentic Workflows," it excels at decomposing high-level goals into executable sub-tasks with a 15% higher success rate than its predecessor (v1.8). In 2026, it is recognized as a top-tier multimodal model, capable of analyzing hour-long videos (up to 2,560 frames) and performing professional-level coding, mathematical derivation, and strategic planning. It is positioned as a direct competitor to GPT-5.2 and Gemini 3 Pro.
MiniMax-M2.5 is a SOTA large language model designed for real-world productivity. Trained in a diverse range of complex real-world digital working environments, M2.5 builds upon the coding expertise of M2.1 to extend into general office work, reaching fluency in generating and operating Word, Excel, and Powerpoint files, context switching between diverse software environments, and working across different agent and human teams. Scoring 80.2% on SWE-Bench Verified, 51.3% on Multi-SWE-Bench, and 76.3% on BrowseComp, M2.5 is also more token efficient than previous generations, having been trained to optimize its actions and output through planning.
GLM-5 is Z.ai's flagship open-source foundation model engineered for complex systems design and long-horizon agent workflows. Built for expert developers, it delivers production-grade performance on large-scale programming tasks, rivaling leading closed-source models. With advanced agentic planning, deep backend reasoning, and iterative self-correction, GLM-5 moves beyond code generation to full-system construction and autonomous execution.
Kimi-k2.5 is Moonshot AI's most versatile and intelligent flagship multimodal model to date. Built with a native multimodal architecture, it deeply integrates visual understanding, logical reasoning, code generation, and Agent task processing capabilities. Compared to its predecessor, K2, the k2.5 model marks a significant breakthrough in Agent automation, supporting over 300 steps of complex tool calling for autonomous data crawling, code execution, and in-depth research report writing. Its unique dual-mode design ("Thinking" and "Non-thinking") allows the model to perform long-horizon reasoning for complex logic while maintaining ultra-fast response speeds for standard conversational tasks.




