# OmniAgent AI Chat Models ### Which model should I use? OmniAgent gives you access to the world's leading AI models across multiple providers. Each model has different strengths, speed, and cost profiles. This guide helps you pick the right one for your task. ### Anthropic (Claude) Models #### Claude Haiku 4.5 **Best for:** High-volume, real-time tasks where speed matters most. Haiku 4.5 is Anthropic's fastest and most cost-efficient model. It runs at roughly 97 tokens/second, making it ideal for tasks that need instant responses at scale. Use it for quick summaries, classification, routing decisions, code completions, documentation generation, and test writing. If you're processing large numbers of requests simultaneously, Haiku is your go-to. **Use cases:** Chatbots, auto-tagging, quick Q\&A, bulk document summaries, form filling, real-time suggestions. *** #### Claude Sonnet 4.6 **Best for:** Everyday complex work — the best value in the Claude lineup. Sonnet 4.6 sits at the sweet spot between performance and cost. It scores 79.6% on SWE-bench Verified (real-world coding tasks) and supports a 1 million token context window, all at the same price as its predecessor. For most users, Sonnet will handle 90%+ of tasks without needing a more expensive model. **Use cases:** Feature implementation, bug fixing, code reviews, writing and editing long documents, data analysis, multi-step reasoning, business reports, research summaries. *** #### Claude Opus 4.6 **Best for:** Complex reasoning, graduate-level science, and multi-agent workflows. Opus 4.6 leads all commercial models on SWE-bench Verified (80.8%) and GPQA Diamond (91.3%). It was specifically improved for agentic computer use and desktop control tasks. Use it when you need the absolute highest accuracy on complex, multi-file codebases or scientific reasoning. **Use cases:** Architecture decisions, large codebase refactoring, graduate-level research, legal and compliance analysis, long-horizon agent tasks, complex debugging. *** #### Claude Opus 4.7 **Best for:** The most demanding tasks requiring precision, vision, and self-verification. Anthropic's newest flagship (released April 2026). Opus 4.7 introduces 3x higher vision resolution, a self-verification layer that checks its own outputs, and a new "xhigh" reasoning effort level. It also brings the largest improvement in agentic coding of any Claude generation. Use it when instruction-following precision and image understanding are critical. **Use cases:** Professional image analysis, legal documents requiring precise instruction-following, complex multi-agent pipelines, brand voice and compliance-sensitive writing, advanced scientific research. *** ### Google (Gemini) Models #### Gemini 3.1 Flash Lite **Best for:** Ultra-fast, high-volume tasks where cost efficiency is the top priority. Gemini 3.1 Flash Lite is Google's fastest and lowest-cost model in the Gemini 3 series. It supports a 1 million token context window and is optimized for latency-sensitive tasks. It features optional reasoning mode that can be toggled on when a task demands more depth. It's been used to achieve 45% reductions in processing latency in real-world deployments. **Use cases:** Translation at scale, content classification, real-time routing, video transcript analysis, bulk document processing, chat suggestions. *** #### Gemini 3 Pro **Best for:** State-of-the-art performance across complex reasoning and multimodal tasks. Gemini 3 Pro is Google's most capable model, designed for tasks requiring deep reasoning, advanced coding, and rich multimodal understanding. It supports text, images, audio, and video as input, and connects to tools like Google Search and code execution natively. **Use cases:** Complex research synthesis, multimodal document analysis, graduate-level problem solving, long-form professional writing, code generation across large projects. *** ### xAI (Grok) Models #### Grok 4.1 Fast **Best for:** Agentic workflows and tool-heavy tasks with a large context window. Grok 4.1 Fast is xAI's optimized variant built specifically for tool-calling and multi-step agent workflows. It supports a 2 million token context window — the largest available — and connects to external tools like web search, code execution, and APIs through the Agent Tools API. It's meaningfully faster and cheaper than standard Grok 4. **Use cases:** Long-document analysis (entire codebases, full books), multi-step research agents, tool-heavy automations, customer support pipelines with external integrations. *** #### Grok 4 **Best for:** First-principles reasoning, deep science, and expert-level knowledge work. Grok 4 is xAI's flagship reasoning model, trained with 100x more compute than its predecessor using large-scale reinforcement learning. It excels at multi-step math, logic, and graduate-level science. It has deep domain knowledge in finance, healthcare, law, and science, and supports native web search and code execution through tool use. **Use cases:** Research analysis, complex financial modeling, legal document review, scientific reasoning, competitive programming, data extraction from complex documents. *** #### Grok 4.3 **Best for:** A balanced, reliable model for everyday enterprise tasks. Grok 4.3 is a refined update in the Grok 4 series, offering improved reasoning, reduced hallucinations, and better multimodal understanding over prior versions. It's positioned as a dependable general-purpose model for professional use. **Use cases:** General writing, summarization, business analysis, Q\&A, content generation, professional correspondence. *** ### OpenAI (GPT) Models #### GPT-4o **Best for:** Fast, versatile multimodal tasks with broad general capability. GPT-4o is OpenAI's efficient all-rounder supporting text, image, audio, and video input. It has been continuously updated through 2025 with improved coding, cleaner communication, and better instruction-following. For users who need reliable, fast multimodal responses without the cost of frontier models, GPT-4o remains a strong choice. **Use cases:** General chat, image understanding, light coding tasks, document Q\&A, creative writing, customer-facing applications. *** #### GPT-5.4 Pro **Best for:** Advanced reasoning, coding, and complex professional workflows. GPT-5.4 Pro consolidates OpenAI's best reasoning and coding capabilities into a single model. It incorporates the coding strengths of the Codex line and handles spreadsheets, presentations, documents, and tool orchestration with high reliability. It leads on AIME math benchmarks and scores competitively on scientific reasoning. **Use cases:** Complex code generation and debugging, financial analysis, multi-tool agentic workflows, professional knowledge work across 40+ occupational domains. *** #### GPT-5.5 **Best for:** The most complex autonomous, agentic, and multi-step computer tasks. GPT-5.5 is OpenAI's current frontier model (released April 2026). It's designed to operate over extended, multi-step tasks autonomously — planning, using tools, checking its own work, and navigating ambiguity until completion. It excels at agentic coding, computer use, and early-stage scientific research. It's about 40% cheaper than GPT-5.4 at comparable quality levels. **Use cases:** Long-horizon autonomous task execution, complex software engineering, multi-tool research workflows, operating software on your behalf, creating and editing documents and spreadsheets end-to-end. *** ### DeepSeek #### DeepSeek V4 **Best for:** Cost-effective coding and algorithmic reasoning at high volume. DeepSeek V4 is a powerful open-weights model that outperforms GPT-4o on competitive programming benchmarks (Codeforces), making it a strong choice for algorithmic and engineering tasks at a fraction of the cost of closed models. It scores 88.5% on MMLU for general knowledge and is accessible via API at very low token pricing. **Use cases:** Competitive coding, algorithm design, code review, math problem solving, technical content generation, high-volume API workloads where cost is a constraint. *** ### Moonshot AI #### Kimi K2.6 **Best for:** Long-horizon autonomous coding and multi-agent scientific research. Kimi K2.6 is Moonshot AI's latest 1 trillion-parameter vision-language model and the leading open-weights model on the Artificial Analysis Intelligence Index. It's designed to execute coding tasks in a plan-write-test-debug loop that can run for days, and can instantiate hundreds of collaborative agents on a single task. It accepts text, images, and video up to 256,000 tokens. **Use cases:** Extended autonomous coding sessions, scientific research automation (especially GPQA Diamond-level science), multi-agent task execution, vision-language understanding, long-context document and video analysis. *** ### Quick Comparison: Pick the Right Model | If you need... | Use | | ------------------------------------- | ----------------------------------------- | | Fastest responses at lowest cost | Claude Haiku 4.5 or Gemini 3.1 Flash Lite | | Best everyday coding and writing | Claude Sonnet 4.6 | | Frontier coding and complex reasoning | Claude Opus 4.7 or GPT-5.4 Pro | | Long autonomous task execution | GPT-5.5 or Kimi K2.6 | | Largest context window (2M tokens) | Grok 4.1 Fast | | Deep science and math reasoning | Grok 4 or Claude Opus 4.6 | | Cost-effective high-volume coding | DeepSeek V4 | | Multimodal (image/video/audio) | GPT-4o or Gemini 3 Pro | *** *Models are updated regularly. 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