Find and compare the best Web-Based Artificial Intelligence software in 2026
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Use the comparison tool below to compare the top Web-Based Artificial Intelligence software on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.
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LALAL.AI
LALAL.AI
$20 one-time payment 5,355 RatingsAny audio or video can be extracted to extract vocal, accompaniment, and other instruments. High-quality stem cutting based on the #1 AI-powered technology in the world. Next-generation vocal remover and music source separator service for fast, simple, and precise stem removal. You can remove vocal, instrumental, drums and bass tracks, as well as acoustic guitar, electric guitar, and synthesizer tracks, without any quality loss. You can start the service free of charge. Upgrade to get more files processed and faster results. Only for personal use. Move to the next level. You can process thousands of minutes of audio and/or video. This software is suitable for both personal and business use. Each LALAL.AI package has a limit on the amount of audio/video that can be split. The package minute limit is deducted from each file that has been fully split. You can split as many files you like, provided their total length does not exceed the minute limit. -
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Qloo
Qloo
23 RatingsQloo, the "Cultural AI", is capable of decoding and forecasting consumer tastes around the world. Privacy-first API that predicts global consumer preferences, catalogs hundreds of million of cultural entities, and is privacy-first. Our API provides contextualized personalization and insight based on deep understanding of consumer behavior. We have access to more than 575,000,000 people, places, and things. Our technology allows you to see beyond trends and discover the connections that underlie people's tastes in their world. Our vast library includes entities such as brands, music, film and fashion. We also have information about notable people. Results are delivered in milliseconds. They can be weighted with factors like regionalization and real time popularity. Companies who want to use best-in-class data to enhance their customer experiences. Our flagship recommendation API provides results based on demographics and preferences, cultural entities, metadata, geolocational factors, and metadata. -
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Ethena
Ethena
$20 per user per year 131 RatingsEthena is an enterprise compliance management platform that leverages AI-powered agents to streamline compliance, ethics, and risk management activities across organizations. The platform includes specialized agents for training development, disclosure management, policy governance, and third-party risk assessment, helping compliance teams automate routine processes while maintaining full oversight. Instead of relying on generic compliance programs, Ethena uses real organizational risk data, disclosures, and policies to create targeted and relevant compliance training. The platform enables compliance professionals to review, approve, and refine AI-generated recommendations before implementation, ensuring accountability and governance remain intact. Additional capabilities include ethics hotlines, case management systems, phishing simulations, policy distribution, and compliance reporting tools. Organizations can track incidents, manage investigations, and maintain comprehensive audit trails through a centralized platform. Multilingual support and automated translations help global businesses deliver consistent compliance programs across regions and workforces. Ethena also offers a large library of compliance training content that can be customized to reflect company-specific policies and requirements. By combining intelligent automation, employee education, risk management, and compliance oversight, Ethena helps organizations build stronger and more scalable compliance programs. -
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Harmoni
Infotools
16 RatingsA powerful data analysis and visualization platform specifically designed for market research data. Harmoni can do it all, from data processing to analysis, reporting and visualization, as well as distribution, alerts and distribution. Spend less time processing data and more time analysing it. Harmoni automates your job. Harmoni makes it easy to share valuable and actionable insights with stakeholders. Although market research budgets are shrinking in number, expectations are increasing. Harmoni allows you to slice and dice data as the questions are asked. Harmoni allows you to combine multiple data sources into one usable set. Harmoni supports many data sources including IBM SPSS®, SQL and Microsoft Excel, CSV, tab delimited files, Dimensions and more. Harmoni is integrated with popular market research platforms such as Voxco and FocusVision Decipher. -
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Gemini 4 Argon
Google
$2 per 1M tokens (input)Gemini 4 Argon is a frontier AI model from Google DeepMind built to sustain deep reasoning across complex, long-running professional workflows. Google designed the model for demanding work spanning software engineering, finance, legal tasks, enterprise knowledge work, cybersecurity defense, and creative writing. Argon supports coding, reasoning, multimodality, and multi-step task execution, allowing it to work across workflows that require information gathering, analysis, tool use, and extended problem solving. Its output token limit has been increased from 64,000 to 1 million tokens, giving the model additional capacity for lengthy reasoning and generation within a single trajectory. On DeepSWE v1.1, Google reports a score of 77.9% for real-world long-horizon software engineering, while its AutomationBench score of 51.3% measures performance on end-to-end business workflows. Google also reports strong results on evaluations covering finance, legal work, visual analysis, and long-video understanding, including a 91.7% score on LVBench. For cybersecurity teams, Argon can autonomously discover, validate, and patch software vulnerabilities and achieved a reported 68% score on CWE-bench v1. Google is initially providing the model to selected cyber defenders through its Fairwind Program while strengthening safeguards before expanding access to developers, enterprises, and consumers. Argon is planned to launch at an introductory price of $2 per million input tokens and $10 per million output tokens, with cached input tokens receiving a 95% discount from the standard input price. -
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Claude Sonnet 5.5
Anthropic
$2 per 1M tokens (input) 1 RatingClaude Sonnet 5.5 is a general-purpose AI model from Anthropic built for everyday professional tasks, agentic coding, knowledge work, and fast iteration. It is the second model in the Claude 5.5 family and is intended to complement Claude Opus 5.5 by offering lower-cost performance on more clearly defined workloads. Anthropic reports that Sonnet 5.5 generates output more than 30% faster than Sonnet 5 and usually completes tasks with fewer tokens. Pricing remains $2 per million input tokens and $10 per million output tokens, with cache reads priced at $0.20 per million tokens. On Terminal-Bench 4.0, the model scores 70.6%, compared with 10.3% for Sonnet 5, while also posting sizable improvements on FrontierCode, CursorBench, and other coding benchmarks. Its knowledge-work results are also substantially stronger, including a GDPval-AA score of 1844 and an AA-Briefcase score of 1811, both close to Claude Opus 5.5. Anthropic says early testers found the model faster, more collaborative, more concise, and particularly strong at design-oriented work such as polished interfaces and presentation decks. The model supports adjustable effort levels so users can trade off speed and cost against more extended reasoning and checking. Claude Sonnet 5.5 is available through Claude apps, Claude Code, the Claude Platform, and major cloud providers including AWS, Google Cloud, and Microsoft Azure. -
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GPT-6 Astra
OpenAI
$10 per 1M tokens (input) 1 RatingGPT-6 Astra is an advanced general-purpose AI model from OpenAI designed for demanding agentic, technical, scientific, and professional workflows. The model combines reasoning with computer-use capabilities that let it interact with applications, websites, development environments, productivity software, and specialized tools. It can perform activities such as online research, CRM updates, form completion, calendar organization, data analysis, software testing, troubleshooting, and frontend quality assurance. Astra is also trained for professional artifact creation, including documents, presentations, spreadsheets, analyses, websites, applications, and visual designs that follow provided templates and business conventions. Its software engineering capabilities support complex coding, codebase understanding, debugging, database migration, verification, and extended autonomous development tasks. OpenAI has also introduced a Codex context system for Astra that can maintain notes across context windows and search earlier conversation and tool history instead of relying exclusively on repeated summarization. Scientific capabilities span areas such as mathematics, biology, chemistry, health, data analysis, and the use of specialized research software. The model includes strengthened alignment and cybersecurity safeguards intended to help it remain within authorized task boundaries while supporting legitimate activities such as secure code review and vulnerability remediation. GPT-6 Astra is available across supported ChatGPT plans and developer platforms, including the OpenAI API and Amazon Web Services infrastructure. -
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GPT-5.6 Sol
OpenAI
$4 per 1M tokens (input) 1 RatingGPT-5.6 Sol is OpenAI’s flagship model in the GPT-5.6 series, built for high-end reasoning, coding, scientific analysis, cybersecurity, and agentic automation. The model is designed to handle complex tasks that require planning, iteration, tool coordination, long-horizon reasoning, and careful execution across multiple steps. GPT-5.6 Sol introduces max reasoning effort, giving the model more time to reason deeply through difficult problems. It also introduces ultra mode, which uses subagents to accelerate complex work and extend capability beyond a single-agent workflow. For coding, GPT-5.6 Sol is positioned for command-line workflows, software engineering tasks, debugging, testing, and multi-step tool use. In biology and quantitative research workflows, the model is designed to support genomics analysis and other long-context scientific tasks while using tokens more efficiently than prior models. For cybersecurity, GPT-5.6 Sol supports legitimate defensive work such as vulnerability research, code review, patch development, security education, and defensive testing. The model includes a layered safeguard stack with trained refusals, real-time cyber and biology misuse classifiers, account-level monitoring, differentiated access, human-in-the-loop review, and ongoing red-team testing. GPT-5.6 Sol helps trusted users and organizations access more powerful AI for technical work while maintaining stronger controls around misuse, sensitive requests, and high-risk activity. -
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Claude Mythos 5.1
Anthropic
Claude Mythos 5.1 represents Anthropic's latest advancement in the Mythos-class of models, tailored for sophisticated applications in cybersecurity, biology, scientific investigation, programming, and extensive knowledge-oriented tasks. While it shares the same foundational architecture as Claude Fable 5.1, it is differentiated by unique safety measures: Fable 5.1 is widely accessible, whereas Mythos 5.1 is limited to select trusted access programs designed with specific safeguards for cybersecurity and life sciences research. This model establishes a new benchmark in performance for autonomous coding and showcases unparalleled cyber capabilities among all Anthropic models released thus far. In the realm of scientific research, Mythos 5.1 can effectively handle specialized tools and intricate workflows related to molecular design, computational biology, and various technical fields. During testing by Anthropic, it successfully engineered high-affinity protein binders for multiple targets, achieving its highest recorded hit rate to date. Additionally, it demonstrated proficiency in optimizing seven different open-source deep learning models focused on protein and genomics. By pushing the boundaries of what is possible, Mythos 5.1 is positioned to make significant contributions to future research and development endeavors. -
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Claude Fable 5.1
Anthropic
$10 per 1M tokens (input) 1 RatingClaude Fable 5.1 is a frontier AI model from Anthropic built for demanding coding, research, knowledge work, and autonomous multi-step workflows. It delivers higher performance than Claude Fable 5 across benchmarks covering scientific research, terminal-based coding, business automation, computer use, multidisciplinary reasoning, and agentic software development. The model is particularly suited to long-running tasks where it must investigate problems, use tools, maintain context, verify intermediate work, and continue operating with limited supervision. Early evaluations highlighted improvements in areas such as root-cause analysis, code review, browser automation, financial research, document drafting, slide creation, and complex engineering workflows. Fable 5.1 also introduces lower cache-read pricing, which Anthropic says can reduce costs by roughly 25% for typical workloads and considerably more for context-heavy agentic tasks. Enterprise customers can use new privacy-oriented safeguard options that are designed to support zero-data-retention-style deployments while still maintaining misuse protections. Cybersecurity safeguards have also been refined to intervene less often on legitimate defensive work while continuing to restrict higher-risk activities such as exploit generation. Anthropic offers the model through Claude Code, Claude Cowork, Claude.ai, the Claude API, and supported cloud platforms. Claude Fable 5.1 is intended for developers, researchers, enterprises, and professional teams that need strong reasoning and coding performance without relying on Anthropic’s most restricted-access model tier. -
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GPT-6 Luna
OpenAI
$0.10 per 1M tokens (input) 1 RatingGPT-6 Luna is a lightweight, cost-efficient model in OpenAI’s GPT-6 family built for coding, professional tasks, computer use, and high-volume AI applications. The model incorporates advances from the same generation as GPT-6 Astra while emphasizing lower inference costs and greater efficiency for everyday workloads. API pricing is $0.10 per million input tokens and $0.50 per million output tokens, making Luna suitable for applications that process large volumes of requests. In professional work, GPT-6 Luna can execute multi-step workflows involving business applications, tools, and structured tasks across functions such as sales, marketing, operations, support, finance, and HR. For software engineering, the model can work on real codebases, perform extended development tasks, and operate within coding agents such as Codex. Its computer-use capabilities allow AI agents to interact with software interfaces and carry out longer workflows that require repeated actions and decisions. OpenAI also reports substantial factuality improvements over GPT-5.6 Luna, with higher reasoning settings enabling stronger performance on difficult factual questions. GPT-6 prompt caching provides higher cache-hit rates and discounted cached input, helping persistent agents and long conversations reuse context more efficiently. GPT-6 Luna is available through ChatGPT Work, Codex, the OpenAI API, and the ChatGPT desktop app for eligible users. -
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GPT-6 Sol is a frontier AI model from OpenAI built for professional knowledge work, software development, business automation, computer use, and agentic applications. It brings many of the advances introduced with GPT-6 Astra to a model optimized for greater cost efficiency and higher-volume use. GPT-6 Sol can apply configurable reasoning effort to complex tasks, giving developers and users control over how much computation is used for different workloads. Its coding capabilities support long-horizon software engineering, codebase modification, debugging, testing, and agent-driven development in tools such as Codex. For professional workflows, the model can work across applications and tools to complete multi-step tasks in areas such as sales, marketing, operations, finance, support, and HR. OpenAI also reports improved factuality compared with GPT-5.6 Sol, reducing errors on its internal evaluation of difficult real-world conversations. Computer-use capabilities allow Sol-powered agents to navigate software interfaces and perform extended workflows that require multiple actions and decisions. Enhanced prompt caching provides higher cache-hit rates and discounts on reused input context, making the model better suited to persistent agents and long conversations. GPT-6 Sol is available to developers through the OpenAI API as gpt-6-sol and is also offered in ChatGPT Work and Codex.
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Claude Opus 5.5
Anthropic
$4 per 1M tokens (input) 1 RatingClaude Opus 5.5 is a frontier AI model from Anthropic built for coding, research, business analysis, computer use, and complex agentic workflows. The model is particularly suited to long-running software engineering tasks such as codebase migrations, audits, debugging, optimization, and large-scale refactoring. Anthropic also positions Opus 5.5 for professional knowledge work including financial analysis, legal workflows, research reports, spreadsheets, presentations, and business automation. Compared with Claude Opus 5, the model is designed to use fewer tokens, generate responses more quickly, and reduce typical workload costs. Its communication style has also been refined to make outputs clearer, easier to scan, and more consistent with user-defined writing requirements. Opus 5.5 includes stronger defenses against prompt injection and is less likely to take irreversible or out-of-bounds actions during autonomous tasks. Enterprise safety features include action classification, an auditable open-source sandbox, code review capabilities, preserved thinking protections, and configurable safeguards for sensitive domains. The model supports zero data retention and is available with additional verification programs for vetted life sciences and cybersecurity organizations. Claude Opus 5.5 is accessible through Anthropic’s applications and API as well as AWS, Google Cloud, and Microsoft Azure. -
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Grok 4.7 is SpaceXAI’s advanced AI model for software development, professional knowledge work, and multi-step agentic tasks. It is built on a larger base model than Grok 4.6 and uses a longer reinforcement learning training run weighted toward difficult problems that require extended execution time. The model is better at checking its own work, maintaining longer context, and completing complex workflows that span many steps. Native support for the Grok Bot harness improves its conversational abilities and makes it more capable across general knowledge and interactive work. Grok 4.7 is positioned for use in coding, terminal automation, legal workflows, document and presentation creation, electrical engineering, healthcare reasoning, and other professional tasks. SpaceXAI also reports improvements across software engineering benchmarks including CursorBench and DeepSWE as well as professional-work evaluations such as AA Briefcase. The model includes a redesigned safety system intended to improve refusal behavior, jailbreak resistance, and handling of potentially dangerous cybersecurity and biological requests. Developers can access Grok 4.7 through Grok Build, Cursor, the Grok API, third-party coding tools, cloud providers, and model-routing platforms. Grok 4.7 is priced starting at $2 per million input tokens and $6 per million output tokens, with a faster variant available at a higher price.
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Grok 4.6 is an advanced xAI model built for long-running agents, coding, knowledge work, interactive applications, and visual project creation. It improves on Grok 4.5 with a focus on staying with complex tasks across many steps, whether the user is researching a topic, analyzing information, working across a codebase, or building a polished application. The model was trained through a longer supplemental run that used curated model-generated reasoning data, advanced technical concepts, engineering data, and an improved training recipe. Grok 4.6 was also trained with SFT and RL across domains such as STEM, software engineering, knowledge work, kernel optimization, web development, computer-aided design, and agentic coding. It is designed to turn ambitious ideas into working projects by researching unfamiliar domains, defining application structure, building core interactions, and iterating through feedback. The model shows stronger first passes on visual and interactive projects, helping users establish structure and visual language more quickly. Grok 4.6 also demonstrates more self-testing and verification during longer trajectories. It is available through Cursor, Grok Build, the xAI API, OpenRouter, Vercel, Cloudflare, and other partners, with pricing starting at $2 per million input tokens and $6 per million output tokens. By combining frontier reasoning, agentic coding, long-running task execution, visual project generation, API access, and broad developer availability, Grok 4.6 helps builders move from idea to working software faster.
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Grok Imagine Image 2.0 is SpaceXAI's image generation and editing model designed to create usable visual assets for real creative work. The model powers the new Quality Mode in Grok Imagine and is available through grok.com, the Grok iOS app, and the Grok Android app. Grok Imagine Image 2.0 is built to follow instructions closely, preserve important details across generations, and produce stronger layouts, typography, and small text. Its editing capabilities are designed for iterative workflows where users need to change specific elements without disrupting the rest of the image. The magic wand edits selected regions, segmentation helps isolate precise areas, and background removal exports subjects with transparent backgrounds. Multi-reference editing accepts up to five input images in one generation, helping users combine references without manual compositing. Smart resize lets users choose a new aspect ratio and have the model fill in the frame. Templates package common workflows such as photo edits, product color changes, product posters, collages, mascot creation, e-commerce photos, headshots, icons, sprites, UI kits, emojis, and merchandise. By combining instruction-following generation, precise editing, smart resizing, multi-reference support, background removal, and workflow templates, Grok Imagine Image 2.0 gives creators a practical image tool for production-ready visual work.
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MiMo-V2.6-Pro
Xiaomi Technology
Free 1 RatingMiMo-V2.6-Pro is an open-source, natively omnimodal AI model from Xiaomi MiMo designed for coding, agentic workflows, visual creation, research, and computer-based tasks. It is the highest-capability model in the MiMo-V2.6 series and was trained using a large-scale reinforcement learning process focused on verifiable, complex tasks. The model can handle software engineering, automation, tool use, visual reasoning, and long-running agent workflows across multiple environments. Its multimodal capabilities extend beyond traditional coding into 3D scene generation, Blender modeling, embodied simulation, frontend development, presentation design, video creation, and music composition. MiMo-V2.6-Pro can take text, images, video, and other visual inputs and coordinate multi-agent workflows to produce and iteratively refine complex outputs. Research applications demonstrated by Xiaomi include materials discovery, literature analysis, computational simulation, hypothesis generation, and formalizing mathematical proofs in Lean. Xiaomi has released the model alongside its technical report, reinforcement learning environments, and RL code so researchers can study and reproduce the training approach. MiMo-V2.6-Pro is also available in an UltraSpeed configuration that provides substantially faster output for latency-sensitive workflows. Users can access the model through MiMo Desktop, AI Studio, MiMo Code, the MiMo API Platform, OpenRouter, and Hugging Face. -
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MiMo-V2.6-Flash
Xiaomi Technology
Free 1 RatingMiMo-V2.6-Flash is Xiaomi MiMo’s efficiency-focused open-source omnimodal model for coding, automation, visual work, and agentic applications. It is designed to provide a balance between model capability, inference cost, and practical performance across a broad range of workloads. The model can perform software engineering tasks, use tools, execute multi-step workflows, and interact with computer environments. Its multimodal capabilities support applications such as frontend development, presentation design, 3D content creation, game development, and visual reasoning. MiMo-V2.6 can also use multi-view visual inputs in embodied simulation environments to reason about scenes and guide actions through feedback loops. Xiaomi trained the Flash model using reinforcement learning over roughly 750,000 trajectories spanning coding, general agents, visual tasks, and cybersecurity environments. During that training process, Xiaomi reports substantial gains in long-horizon software engineering and general workflow performance compared with the model’s earlier checkpoints. The company has open-sourced the broader MiMo-V2.6 release along with its technical report, reinforcement learning environments, and RL code to support research and reproducibility. MiMo-V2.6-Flash can be accessed through MiMo Desktop, AI Studio, MiMo Code, the MiMo API Platform, OpenRouter, and Xiaomi MiMo’s open-source distribution channels. -
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Claude Opus 5
Anthropic
$5 per 1M tokens (input) 1 RatingClaude Opus 5 is Anthropic’s new state-of-the-art Opus model for coding, knowledge work, automation, science, and everyday AI assistance. The model is designed to provide near-frontier intelligence at a lower cost than Claude Fable 5 while keeping the same base pricing as Opus 4.8. Claude Opus 5 performs strongly on software engineering benchmarks, business task automation, computer use, novel problem solving, visual generation, and scientific research tasks. Users can adjust effort settings to trade off intelligence, speed, and token usage depending on the task. The model is also better at verifying its work, iterating carefully, building test harnesses, debugging root causes, and solving multi-step engineering problems. Anthropic highlights improvements in life sciences, including structural biology, organic chemistry, bioinformatics, and protein-related tasks. Claude Opus 5 includes alignment and safety safeguards designed to support beneficial work while blocking higher-risk cybersecurity and biology misuse. It is available through Claude.ai, Claude Max, Claude Pro, Claude Code, Claude Cowork, and the Claude API under the model name claude-opus-5. By combining stronger reasoning, coding ability, scientific capability, configurable effort, Fast mode, and enterprise-ready deployment options, Claude Opus 5 gives users a powerful model for demanding daily work. -
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GLM-5.2 is a next-generation large language model built for users who need strong reasoning, coding support, and agentic AI capabilities. It can assist with complex software development tasks, technical problem-solving, automation workflows, and advanced research projects. The model is designed to process long-context information, which makes it helpful for analyzing large documents, reviewing codebases, and maintaining continuity across multi-step tasks. GLM-5.2 supports developers and organizations that want to create AI-powered tools capable of planning, reasoning, and executing more sophisticated workflows. Its architecture is structured to deliver high performance while improving efficiency for demanding AI use cases. Businesses can use GLM-5.2 to enhance productivity, streamline engineering processes, and build more capable intelligent applications. It is also useful for teams that need AI assistance across documentation, data interpretation, coding, testing, and workflow automation. The model’s emphasis on agentic engineering makes it well-suited for applications that require more than simple text generation. GLM-5.2 provides a flexible AI foundation for companies looking to bring advanced reasoning and automation into their products or internal operations.
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Hermes Agent by Nous Research is an open-source autonomous AI system designed to function as a persistent, self-improving digital assistant. Unlike traditional AI tools, it runs locally on your server, allowing it to retain memory and learn from ongoing interactions over time. The agent integrates with multiple communication platforms, including Slack, Discord, Telegram, and WhatsApp, enabling seamless cross-platform usage. Hermes supports automation through natural language scheduling, allowing users to set up recurring tasks such as reports, backups, and updates. It can execute complex workflows by delegating tasks to subagents that operate in parallel environments. The platform includes advanced capabilities like web browsing, search, code execution, and multimedia processing. It also offers secure sandboxing options across multiple environments, including Docker and local systems. Hermes can be configured to use different AI models or APIs, giving users flexibility in deployment. Its command-line interface provides a powerful and customizable interaction experience. Overall, Hermes Agent delivers a scalable, adaptable, and intelligent solution for automation and task management.
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Grok Bot is an AI teammate platform that allows users to assign work to bots across their tools, apps, websites, and business workflows. The platform is designed for AI agents that can sign in to tools, operate them like a user would, and complete projects from start to finish. Users can message bots like teammates on desktop or iOS, give them tasks, and receive completed work or approval requests when needed. Grok Bot supports multiple bots working at once, making it possible to run one bot for outbound sales, another for expenses, another for inbox management, and another for systems or project operations. Bots can learn by watching a user complete a workflow, save that process as a routine, and repeat it later on a schedule. They keep context over time, learn from each other, and can collaborate inside shared threads by passing work between bots. Example workflows include researching accounts, scoring contacts, drafting email and LinkedIn messages, managing receipts, clearing inboxes, preparing follow-ups, booking venues, and creating recap documents. The platform includes a persistent cloud computer that bots share, allowing them to keep files, browser sessions, logins, and context available across work. By combining agentic task execution, tool access, workflow learning, scheduled routines, multi-bot collaboration, and approval checkpoints, Grok Bot helps users turn AI into an active teammate.
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Codex is an advanced AI coding assistant from OpenAI that helps developers streamline the entire software development process from start to finish. It functions as a powerful pair programmer capable of understanding repositories, writing code, and generating production-ready pull requests. The platform supports complex workflows, including debugging, refactoring, testing, and code reviews, all within a unified environment. One of its standout features is computer use, which allows Codex to operate your computer directly by seeing the screen, clicking, and typing within applications. This capability enables it to interact with tools and software that lack direct integrations or APIs. Codex also includes an in-app browser, allowing developers to iterate on web applications and provide precise instructions directly on live pages. It integrates with a wide range of tools and plugins, enhancing its ability to gather context and take action across workflows. The platform supports multi-agent collaboration, enabling parallel work across projects to accelerate development timelines. Codex also offers automation features that allow it to schedule and complete recurring tasks without manual input. With memory capabilities, it can remember preferences and past actions to improve future performance. Overall, Codex delivers a comprehensive AI-powered solution that combines coding, automation, and real-world computer interaction to boost developer efficiency.
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Gemini 3.6 Flash
Google
$1.50 per 1M tokens (input) 1 RatingGemini 3.6 Flash is Google’s workhorse Flash model for developers and enterprises building production AI agents at scale. The model is designed to deliver higher quality than Gemini 3.5 Flash while improving token efficiency, latency, and overall task cost. Google says Gemini 3.6 Flash uses 17% fewer output tokens than 3.5 Flash on the Artificial Analysis Index and can show even larger efficiency gains on certain software engineering benchmarks. It is priced lower than 3.5 Flash at $1.50 per 1 million input tokens and $7.50 per 1 million output tokens. Gemini 3.6 Flash improves performance in coding, ML research, computer use, knowledge work, document parsing, chart analysis, report drafting, and data-heavy workflows. The model also supports built-in computer use through the Gemini API and Gemini Enterprise, making it more useful for agentic systems that need to operate across digital environments. Google highlights customer use cases involving financial transcript analysis, code migrations, visual workflows, and interactive design tools. The model includes enhanced Frontier Safety safeguards for CBRN and cyber offense misuse while aiming to reduce unnecessary refusals for beneficial uses. By combining efficiency, stronger reasoning, multimodal ability, computer use, and enterprise availability, Gemini 3.6 Flash gives teams a practical model for scaling AI agents in production. -
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OpenAI Dots are persistent AI agents powered by GPT-6 Astra that can independently make progress on projects while remaining under the user's direction. A dot functions as an extension of its user by learning how they work, monitoring what requires attention, and using its own cloud computer to carry out tasks between conversations. It can begin with context from ChatGPT memory and use Codex and connected tools to work with relevant applications, documents, data, and workflows. Users can give a dot responsibility for a large project or a smaller recurring workflow and allow it to proactively determine appropriate next steps. Dots can analyze new data, refresh reports and presentations, investigate unexpected results, prepare code and tests, monitor feedback, and draft supporting materials for review. They can also maintain continuity across related tasks, such as updating an investor presentation when new financial data arrives or tracking an API migration until remaining dependencies are resolved. Users can communicate with their dots through ChatGPT on web, mobile, and desktop to provide feedback, change direction, or review work in progress. Permissions and Custom Rules determine which applications a dot can access, which actions it can perform independently, and which activities require explicit approval. Potentially consequential actions are subject to additional review against the user's instructions, configured rules, and applicable safety requirements.
