MiniMax: MiniMax M3.1-Flash is a cutting-edge multi-modal language model with a 1 million token context window designed for agent reasoning, tool invocation, programming and long text tasks. It supports text, image, and video input, and provides adjustable thinking depth (controlled by effort) to balance inference quality, latency, and token usage.
Google: Gemini 4 Argon is a cutting-edge model released by Google DeepMind on September 30, 2026. It is the first model in the Gemini 4 series to feature a new naming scheme. It is strong in programming, financial research, legal drafting, and autonomously fixing cybersecurity vulnerabilities. The model supports text, image, video, and file inputs, and has a context window of 1 million tokens. In benchmark tests, its DeepSWE v1.1 score was 77.9%, ahead of Claude Opus 5.5 and GPT-6 Astra, and ranked first in the Vals Index with 68.90%.
Anthropic: Claude Haiku 5.5 is Anthropic’s most affordable, fastest and most powerful small form factor model yet, built for high-volume, cost-sensitive workloads. It handles summarization, reduction, database query, classification, and subagent encoding tasks with low latency, making it particularly useful in real-time customer support, browser usage, and other speed-critical applications.
ByteDance: Seedream 5.0 flash is an image generation and editing model developed by ByteDance Seed. As the efficient and cost-effective version of the Seedream 5.0 series, it is designed for large-scale production and interactive editing workflows that require low latency and precise editing.
Google: Nano Banana 2.1 (Gemini Nano Banana 2.1) is an upgraded multi-modal inference image model designed for production-level image generation and editing. It features greater prompt following capabilities, multi-reference editing capabilities, and higher visual fidelity. The model understands text, image, video, and PDF inputs, supports alternate generation of text and images, and can reason about complex spatial and compositional instructions before generating images. Additionally, the model supports basic validation through Google Search and Google Image Search, enabling better long-tail entity recognition, visual understanding, and output accuracy.
GPT-6.1 Sol is an upgrade to GPT-6 Sol from OpenAI, positioned below the flagship GPT-6 Astra in the GPT-6 series. It is suited for agentic coding, computer use, document-heavy professional work, and multi-step business workflow automation, and approaches Astra-level results on these tasks at a much lower cost. Compared with GPT-6 Sol, it makes fewer factual errors and is more reliable at respecting explicit restrictions and user intent during agentic tasks.
Anthropic: Claude Sonnet 5.5 is Anthropic’s upgraded Sonnet-class model that delivers greater performance than Claude Sonnet 5 while running more than 30% faster and at a lower cost for many workloads. Designed for agent-based coding, tool usage, and everyday professional tasks, it's ideal for developers and teams building fast and powerful AI agents.
OpenAI: GPT-6 Luna is a fast and cost-effective model in the OpenAI GPT-6 series, positioned lower than GPT-6 Sol. It is suitable for high-concurrency and latency-sensitive workloads such as chat, classification, and lightweight agent tasks; at higher inference workloads, it can take on complex software engineering and computer usage tasks that previously required Sol-level models. It shares the improvements in factual reliability of the GPT-6 family, as well as a clearer, more concise communication style.
OpenAI: GPT-6 Sol is a cost-effective high-end model in the OpenAI GPT-6 series, positioned below the flagship GPT-6 Astra and above the fast GPT-6 Luna. It is suitable for demanding professional work, agency coding, business workflow automation and computer use, and is particularly good at long-span software engineering tasks in real code bases. It delivers near Astra-level reliability at a fraction of the cost and continues Astra’s clear, concise communication style in technical and programming conversations.
Claude Opus 5.5 is Anthropic's flagship model for demanding reasoning, coding, and long-horizon agentic work, succeeding Claude Opus 5. It is particularly strong at multi-step changes in large codebases, code review and bug finding, financial and scientific analysis, and reading dense charts, diagrams, and screenshots, and it is more careful than its predecessor about only stating figures and citing sources it can back up.
The model completes comparable tasks in fewer steps and with fewer tokens than Opus 5, and reports on its work in plainer language, with clear updates on what it did, what it found, and what it needs from the user. Thinking is always adaptive, so effort is the main lever for trading off depth, latency, and cost, and lower effort settings remain effective for latency-sensitive workloads.
Grok 4.7 is SpaceXAI's flagship model for coding, agentic tasks, and knowledge work, succeeding Grok 4.6. It is particularly strong at long-running software engineering tasks, verifying its own work, and managing long context, and it improves on its predecessor at professional knowledge work such as drafting documents and presentations.
Z.AI: GLM 5.3 FlashX is a faster, smoother version of GLM-5.3-Flash with inference speeds up to 200 tokens/s. Z.AI: GLM 5.3 FlashX is Z.ai’s native multi-modal model, suitable for efficient programming and long-range agent tasks. Its hybrid sparse and linear attention architecture reduces computational overhead while maintaining accurate long-context performance.
Jev is TypeSafe AI’s System One decision model for fast, structured decisions in software. It evaluates shared state against typed questions and returns choices, scores, and boolean probabilities, supporting classification, routing, rubric-based assessment, and automated verification. Multiple questions can be evaluated in parallel within a single request.
DeepSeek V4.1 Flash is a sparse mixture-of-experts model from DeepSeek, and the first built on the company's Causal Encoder-Decoder (CED) architecture. It activates 8B parameters on input and 16B on output from a 552B-parameter backbone, an asymmetric split that keeps per-token compute low relative to the model's total size. Image understanding is native to the architecture, with visual and text embeddings trained jointly from the start of pre-training rather than added afterward as in the earlier experimental V4 Flash Vision Exp(opens in new tab).
GPT Image 2.5 Flare is an image generation and editing model from OpenAI, positioned as the speed-oriented tier of the GPT Image 2.5 series. It is suited to high-volume everyday generation, creator content, and rapid prototyping via the dedicated Images API.
GPT Image 2.5 Sunburst is an image generation and editing model from OpenAI, positioned as the precision-oriented tier of the GPT Image 2.5 series. It is suited to detailed creative work where editing accuracy matters more than generation speed, via the dedicated Images API.
GPT-6 Astra is OpenAI's flagship model for demanding end-to-end work. It is suited for advanced analysis, software engineering, deep research, scientific work, and document creation, with particular strengths in long-horizon agentic tasks that involve computer and browser use.
Claude Fable 5.1 improves on Claude Fable 5 across the board, with the biggest gains in agentic coding, long-running agentic workflows, and knowledge work: long code refactors, front-end and visual code generation, and finance and analysis tasks in particular. It also tends to be more concise than Fable 5 in its plans and summaries. We recommend testing it as a direct upgrade wherever you use Fable 5 today, and alongside Opus 5 on reasoning-heavy tasks.
Gemini 3.8 Flash is Google's most intelligent Flash model with significant gains from 3.7 Flash across software engineering, agentic tasks, and multi-step reasoning.
MiniMax: MiniMax H3 Max is a video generation model jointly released by MiniMax and fal.ai. The model was further trained by fal.ai based on MiniMax H3 and optimized for high-speed generation. It supports mainstream 480P and 768P output, generating videos faster than MiniMax H3. Currently, it supports 'text-to-video' and 'image-to-video', and will later support 'reference image generation'.
Qwen3.8-Max-0902 is a snapshot version of Qwen3.8-Max, which has stronger coding performance and is suitable for complex engineering tasks and long-term independent development. It simultaneously improves the agent's tool usage capabilities and visual understanding capabilities for graph reasoning, document parsing and multi-modal perception, and retains the context window of 1 million tokens, reasoning modes and a complete tool ecosystem.
Tencent: Hy4 Preview is a hybrid expert (MoE) model launched by Tencent, with a total parameter size of 770B and an activation parameter size of 49B. It is designed for coding agents, complex tool usage workflows, and productivity tasks that require planning, contextual continuity, and sustained multi-step execution.
Qwen3.8-Flash is the latest multi-modal model of the Qwen series, which combines powerful reasoning and generation capabilities with amazing speed. It natively supports context windows with millions of tokens, and can handle long documents, complete code bases, and complex conversations at once. This model excels in code assistance, agent workflow, and visual understanding, whether it is autonomously repairing code, operating desktop applications, or analyzing charts and long videos. Qwen3.8-Flash is fully compatible with OpenAI and Anthropic API protocols, and can be seamlessly integrated with popular development tools such as Claude Code and Codex, helping developers easily build high-concurrency applications and intelligent workflows. With excellent performance and highly competitive inference costs, Qwen3.8-Flash is an ideal choice for developers and enterprises seeking a balance between performance and cost for AI applications.
GLM-5.3-Flash is a native multimodal model from Z.ai. It is suited for efficient coding and long-horizon agent tasks. Its hybrid sparse and linear attention architecture maintains accurate long-context behavior while reducing compute overhead.
Qwen Image 3 is a unified image generation and editing model from Qwen. It supports precise rendering of text and details as small as 10px, along with a richer world knowledge base than previous generations.
Alibaba: Wan3.0-Video is a multi-functional reference video generation model that supports text-to-video, image-to-video (first frame/first and last frame) and reference-based video generation. It is capable of generating videos up to 30 seconds long at 30fps.
Alibaba: Wan3.0-Video-Prime is a high-speed version of the Wan3.0 video generation model. It has the same powerful capabilities as the standard Wan3.0-Video model, supports comprehensive reference input of four modalities, can generate videos up to 30 seconds, and significantly improves the end-to-end generation speed while providing an immersive audio-visual experience.
Gemini 3.7 Flash is a multimodal model from Google for fast agentic workflows, coding, and complex multi-step reasoning. It is designed for tasks that require responsive performance and reliable multi-step problem solving.
GLM-5.3 is a large-scale reasoning model from Z.ai, built for complex software engineering and long-horizon agent tasks. It supports text input and output with a 1M-token context window, and improves on GLM-5.2 in coding and in the balance between performance and token efficiency.
Seedance 2.0 Mini is a video generation model from ByteDance. It supports text-to-video, image-to-video with first and last frame control, and multimodal reference-to-video with image, video, and audio inputs. It supports 480p and 720p output for 4-15 second videos. The number of tokens is given by (height of output video * width of output video * duration * 24) / 1024
DeepSeek V4 Pro is a large-scale Mixture-of-Experts model from DeepSeek with 1.6T total parameters and 49B activated parameters, supporting a 1M-token context window. It is designed for advanced reasoning, coding, and long-horizon agent workflows, with strong performance across knowledge, math, and software engineering benchmarks.
Grok Imagine Image 2.0 is an image generation and editing model from xAI. It is suited for creating images from text prompts and editing images from references, with low and medium quality modes.
Seedance 2.5 is a video generation model from ByteDance. It is suited for long-form storytelling, multimodal reference-based generation, video editing, and video extension. It supports first-frame and first-and-last-frame control, up to 50 image, video, and audio reference assets, optional generated audio, and multilingual audiovisual generation.
Qwen Image 3 Pro is an image generation and editing model from Qwen. It supports precise rendering of text and details as small as 10px, along with richer world knowledge compared to previous generations.
Qwen: Qwen3.8-Max is the MoE flagship model with 2.4 trillion parameters, achieving a comprehensive leap in the field of programming and professional work. It autonomously codes and delivers complete projects spanning 10+ days, handling hundreds of specialized tasks in legal, finance, design and other professional fields, producing production-grade results end-to-end in a single conversation. Native visual understanding spans the entire lifecycle of planning, execution, and validation, enabling deep semantic analysis of very long documents and extended video content. During long-term tasks, it can plan autonomously, iterate through closed-loop feedback, and continuously evolve.
MiniMax: MiniMax H3 is a lightweight open source weighted video generation model developed by MiniMax. It is designed for precise multimodal editing and controlled content generation, including command-driven editing, text and brand rendering, and video-to-video motion transfer. The model is suitable for commercial creative workflows such as advertising, e-commerce, games and interface design, and supports native audiovisual output for reference-driven generation.
Qwen: Qwen3.7-Flash is a visual language reasoning model from Alibaba. It is suitable for multi-modal agents, visual encoding, search and computer interaction, with advantages in object recognition, spatial understanding and real-world visual perception.
Claude Opus 5 is Anthropic’s flagship model for demanding reasoning, coding, and long-horizon agentic work. It is particularly strong at end-to-end software tasks, code review and bug finding, visual analysis of charts and documents, complex office deliverables, and coordinating parallel subagents.
Gemini 3.5 Flash Lite is a high-efficiency model from Google with upgraded agentic capabilities. It is suited for subagents that execute focused tasks within complex, multi-agent workflows.
Gemini 3.6 Flash is a high-efficiency model from Google for coding, agentic workflows, and web and app development. It is designed to produce polished outputs with fewer unnecessary edits and less hedging, while reducing token use and the number of model calls needed to complete a task.
Grok Imagine Video 1.5 is a video generation model from SpaceXAI. It creates videos from text prompts, with an optional starting image to guide the scene. It can direct subject and camera motion, pacing, atmosphere, and physical behavior while maintaining visual continuity, and can generate synchronized sound effects, ambience, and dialogue.
MoonshotAI: Kimi K3 is Kimi’s most powerful model to date, with 2.8 trillion parameters. It is built based on the hybrid linear attention mechanism Kimi Delta Attention and attention residual technology. It has native visual understanding capabilities and a context window of 1 million tokens. It is suitable for cutting-edge intelligent scenarios such as software engineering, knowledge work, and deep reasoning.
GPT-5.6 Luna is a fast, cost-efficient model in OpenAI's GPT-5.6 series. It is suited for high-volume, latency-sensitive tasks such as chat, classification, and lightweight agentic workflows, providing capable reasoning for its price tier.
GPT-5.6 Sol is the flagship model in OpenAI's GPT-5.6 series. It is suited for complex reasoning, coding, and agentic workflows, and is particularly strong at command-line and multi-step coding tasks and long-horizon problem solving.
GPT-5.6 Terra is a balanced model in OpenAI's GPT-5.6 series, positioned between the flagship Sol tier and the cost-efficient Luna tier. It is suited for everyday coding, reasoning, and agentic tasks where capability and cost need to be balanced, offering strong performance at roughly half the cost of Sol.
ByteDance: Seedream 5.0 pro is ByteDance’s latest image generation model, pushing image creation to a new stage of controllable production. This update brings greater controllable editing capabilities, more mature production-grade workflows, and more natural visual effects.
Tencent: Hy3 is a hybrid expert model launched by Tencent with 770 billion total parameters, of which 49 billion are activation parameters. It is designed for coding agents, complex tool usage workflows, and productivity tasks that require planning, contextual continuity, and sustained multi-step execution.
Google: Nano Banana 2 Lite (Gemini 3.1 Flash-Lite Image) is Google's fastest and most cost-effective Gemini image model, built for high-frequency development pipelines and rapid visual exploration. It can complete text-to-image generation in about 5 seconds, which is about 2.7 times faster than Gemini 3.1 Flash Image, while maintaining the character consistency, precise editing capabilities and real-world knowledge of the Nano Banana series. A single embedded API handles text-to-image, image editing, and multi-image composition. As a multi-modal model, it can also generate text while returning images. Output resolution is 1K, supports 14 aspect ratios, and comes with an invisible SynthID watermark for easy identification as AI-generated. The best balance of quality and speed in the Nano Banana 2 series, it generates thousands of images at a fraction of the cost of heavyweight production models, making it ideal for prototyping, real-time applications and large-scale visual workflows.
Claude Sonnet 5 is built to be the most agentic Sonnet model yet. It can plan, use tools such as browsers and terminals, and operate autonomously at a level that only recently required larger and more expensive models.
Alibaba: HappyHorse 1.1 is a video generation model from Alibaba. It generates short videos from a text prompt, a single starting image, or a set of reference images, with output up to 1080p and durations of 3 to 15 seconds. It is suited for creative content, social media clips, and image-driven animation, and improves on the prior version with stronger prompt adherence, smoother motion, and more consistent characters across frames.
GLM 5.2 is a large-scale reasoning model from Z.ai. It supports text input and output with a 1M-token context window, and is suited for long-horizon agent workflows, project-level software engineering, and complex multi-step automation.
Google: Nano Banana Pro (Gemini 3 Pro Image) is an AI image generation model based on Google Gemini 3 Pro, and is a major upgrade of its previous products. It aims to go beyond simple pattern matching, turn to a more rationally driven system, and make improvements in terms of physical understanding, text rendering, and image consistency. Its main features include faster processing speed, native 2K resolution, and the ability to edit existing images with higher precision, aiming to provide more reliable, professional-level generated results.
Claude Fable 5 is a Mythos-class model from Anthropic, built for autonomous knowledge work and coding. It supports text, image, and file inputs with text output, with reasoning support and a 1M-token context window. It is suited for long-running, complex, and asynchronous tasks that previously required frequent human check-ins.
Qwen3.7-Plus is a multi-modal generative model in the Qwen3.7 series that supports text, image and video input and text output. It is designed for agent workloads and delivers strong performance in programming, office productivity, and long-range autonomous execution.
MiniMax-M3 is a multimodal foundation model from MiniMax. It supports text, image, and video inputs with text output, a 1M-token context window, and is suited for long-horizon agentic work, coding, and tool use. It is built on MiniMax Sparse Attention (MSA), which replaces full attention with KV-block selection to cut per-token compute at long context — roughly 1/20 the cost of the previous generation at 1M tokens, with substantially faster prefill and decode while retaining quality across most tasks.
Claude Opus 4.8 is Anthropic's most capable generally available model in the Opus family. It supports text, image, and file inputs with text output, with reasoning support and a 1M-token context window. It is suited for highly autonomous agents, long-horizon agentic work, knowledge work, and memory-driven tasks where coherence over extended sessions matters.
Grok Build 0.1 is SpaceXAI’s fast coding model trained specifically for agentic software engineering workflows. It supports text and image inputs with text output, and is optimized for interactive coding agents, tool use, and multi-step development tasks. The model powers SpaceXAI’s Grok Build CLI and features a 256K context window with no text output limit, making it well suited for long-horizon coding and automation workflows. Currently in early access.
Qwen3.7-Max is the flagship model of Alibaba’s Qwen3.7 series. It supports text input and output and is designed for agent-centric workloads, with significant advantages in coding, office and productivity tasks, and long-term autonomous execution. The model offers significant improvements in encoding and agent performance compared to previous Qwen versions, and supports explicit cue word caching for efficient repeated context use.
Gemini 3.5 Flash is Google's high-efficiency multimodal model, bringing near-Pro level coding and reasoning at Flash-tier cost and speed. It is highly optimized for coding proficiency and parallel agentic execution loops, supporting text, image, video, audio, and PDF inputs.
Grok Imagine Image Quality is SpaceXAI's fast, high-fidelity image generation and editing model. It accepts text prompts and optional reference images, producing photorealistic outputs at 1K or 2K across a range of aspect ratios, including flexible adjustment of reference images.
Grok Imagine Video is SpaceXAI's fast, text-, image-, and reference-conditioned video generation model. It produces short videos (1–15 seconds, 24 fps) at 480p or 720p across seven aspect ratios - 1:1, 16:9, 9:16, 4:3, 3:4, 3:2, and 2:3.
Grok 4.3 is a reasoning model from SpaceXAI. It accepts text and image inputs with text output, and is suited for agentic workflows, instruction-following tasks, and applications requiring high factual accuracy. Reasoning can be configured between none/low/medium/high (default low) effort levels.
Alibaba: HappyHorse 1.0 is described as an open source, state-of-the-art AI video generator with native audio and video co-generation capabilities - meaning that the alibaba: HappyHorse 1.0 video model can simultaneously generate video frames and corresponding audio tracks (dialogue, ambience, foley) in a single forward pass, rather than generating silent video first and then dubbing it later. According to an architectural description compiled by the community, the model is built around a 15 billion-parameter unified self-attention Transformer that can process text, image, video, and audio tokens within a single token sequence. It is reportedly built without a dedicated cross-attention branch and without a separate audio module. Combined with DMD-2 distillation technology, its distilled version is said to require only 8 denoising steps on the NVIDIA H100 and requires no classifier-free guidance to generate 1080p video in approximately 38 seconds.
GPT-5.5 is OpenAI’s frontier model designed for complex professional workloads, building on GPT-5.4 with stronger reasoning, higher reliability, and improved token efficiency on hard tasks. It features a 1M+ token context window (922K input, 128K output) with support for text and image inputs, enabling large-scale reasoning, coding, and multimodal workflows within a single system.
Opus 4.7 is the next generation of Anthropic's Opus family, built for long-running, asynchronous agents. Building on the coding and agentic strengths of Opus 4.6, it delivers stronger performance on complex, multi-step tasks and more reliable agentic execution across extended workflows. It is especially effective for asynchronous agent pipelines where tasks unfold over time - large codebases, multi-stage debugging, and end-to-end project orchestration.
Seedance 2.0 is a video generation model from ByteDance. It supports text-to-video, image-to-video with first and last frame control, and multimodal reference-to-video. It is particularly strong at preserving character consistency, visual style, and camera movement from reference material. The number of tokens is given by (height of output video * width of output video * duration * 24) / 1024
Seedance 2.0 Fast is a video generation model from ByteDance. It supports text-to-video, image-to-video with first and last frame control, and multimodal reference-to-video. It prioritizes generation speed and lower cost over maximum output quality. The number of tokens is given by (height of output video * width of output video * duration * 24) / 1024
GPT-5.4 mini brings the core capabilities of GPT-5.4 to a faster, more efficient model optimized for high-throughput workloads. It supports text and image inputs with strong performance across reasoning, coding, and tool use, while reducing latency and cost for large-scale deployments.
GPT-5.4 nano is the most lightweight and cost-efficient variant of the GPT-5.4 family, optimized for speed-critical and high-volume tasks. It supports text and image inputs and is designed for low-latency use cases such as classification, data extraction, ranking, and sub-agent execution.
GPT-5.4 is OpenAI’s latest frontier model, unifying the Codex and GPT lines into a single system. It features a 1M+ token context window (922K input, 128K output) with support for text and image inputs, enabling high-context reasoning, coding, and multimodal analysis within the same workflow.
Gemini 3.1 Pro is the next generation in the Gemini series of models, a suite of highly-capable, natively multimodal, reasoning models. Gemini 3 Pro is now Google’s most advanced model for complex tasks, and can comprehend vast datasets, challenging problems from different information sources, including text, audio, images, video, and entire code repositories
Sonnet 4.6 is Anthropic's most capable Sonnet-class model yet, with frontier performance across coding, agents, and professional work. It excels at iterative development, complex codebase navigation, end-to-end project management with memory, polished document creation, and confident computer use for web QA and workflow automation.
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.
Claude Haiku 4.5 is Anthropic’s fastest and most efficient model, delivering near-frontier intelligence at a fraction of the cost and latency of larger Claude models. Matching Claude Sonnet 4’s performance across reasoning, coding, and computer-use tasks, Haiku 4.5 brings frontier-level capability to real-time and high-volume applications.
Gemini 2.5 Flash Image (also known as "Nano Banana") is now generally available. It is a cutting-edge image generation model with context understanding that supports image generation, editing, and multi-turn conversations.
GPT-4o ("o" for "omni") is OpenAI's latest AI model, supporting both text and image inputs with text outputs. It maintains the intelligence level of GPT-4 Turbo while being twice as fast and 50% more cost-effective. GPT-4o also offers improved performance in processing non-English languages and enhanced visual capabilities.