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    Odeus Docs

    Model Guide

    One of our core-values is to build a tool which is model-agnostic. This means we do not want to restrict users to models from just one provider, but rather allow them to choose which model from which provider to use. Each model has different strengths and we encourage you to test

    Model Guide

    One of our core-values is to build a tool which is model-agnostic. This means we do not want to restrict users to models from just one provider, but rather allow them to choose which model from which provider to use. Each model has different strengths and we encourage you to test the different models to find the best models for your specific need.

    Selecting a Model

    • Whenever you start a new chat, you can select which model to use from the dropdown in the top left
    • You can switch models mid-conversation. For example, start with a fast model for brainstorming, then switch to a more powerful one for the final output
    • Set your personal default model in account settings

    Auto mode

    Auto is Odeus's intelligent model routing option. Instead of choosing a model for every conversation, Auto analyzes your first message to understand the request and estimate its complexity, and then selects a suitable model for that conversation.

    <img src="https://mintcdn.com/odeus-34/F3Z8Fwagj1XAwOhC/images/auto_model.png?fit=max&auto=format&n=F3Z8Fwagj1XAwOhC&q=85&s=09e153b1ef2ce161ea95c3645786432b" alt="Auto mode model card in the model selector showing best balance of intelligence and speed" style={{borderRadius: '6px'}} width="990" height="614" data-path="images/auto_model.png" />

    Auto is designed for everyday work: quick questions, drafting, summarizing, rewriting, and analysis. By handling the model choice automatically, it helps teams work faster and avoid spending usage on powerful models for tasks that do not need them. For tasks that require maximum reasoning depth or quality, you can still switch to a specific model at any point.

    Auto currently routes between GPT-5.2 and Sonnet 4.6. Once a model is selected, it stays fixed for the rest of the conversation. Switching models mid-conversation would require resending the full conversation history to the new model, which would increase your token usage.

    Understanding Model Naming Conventions

    AI providers follow consistent naming patterns that help you quickly identify a model's capabilities. Understanding these patterns lets you choose the right model without memorizing specific versions.

    Version Numbers = Capability Level

    Higher version numbers generally indicate newer, more capable models. When a provider releases a new generation, they increment the major version number.

    PatternWhat it means
    GPT-5 vs GPT-4GPT-5 is the newer generation
    Claude 4 vs Claude 3Claude 4 is the newer generation
    Gemini 2.5 vs Gemini 2.0Gemini 2.5 is newer within the same generation

    When in doubt, choose the model with the higher version number. It typically has better reasoning, fewer errors, and more capabilities.

    Size Indicators = Speed vs Intelligence Trade-off

    Providers offer multiple sizes within each model family. Models without size indicators are the most intelligent but may be slower. Models with size indicators trade some capability for speed and cost efficiency.

    IndicatorIntelligenceSpeedBest for
    No indicator (e.g., "GPT-5", "Claude Sonnet")HighestModerateComplex tasks, important outputs
    mini / nanoMedium-HighFastEveryday tasks, quick iterations
    flash / fastMediumVery FastReal-time applications, high volume
    haiku (Anthropic)GoodVery FastSimple tasks, cost-sensitive use cases

    Pro tip: Start with a faster model for drafts and exploration, then switch to the full model for your final output. This saves time while still getting high-quality results when it matters.

    Thinking

    Reasoning or Thinking capabilities are available through a toggle directly in the model selector. When enabled, the model reasons through problems step-by-step before responding, producing more accurate results on complex tasks, at the cost of a longer response time.

    <img src="https://mintcdn.com/odeus-34/65kPTgZt2wzt1R2l/images/Extended_thinking_toggle.png?fit=max&auto=format&n=65kPTgZt2wzt1R2l&q=85&s=d0fd34242363a4298e45e280fee1d438" alt="Extended Thinking toggle in the model selector" style={{borderRadius: '6px'}} width="1266" height="810" data-path="images/Extended_thinking_toggle.png" />

    Thinking is well-suited for:

    • Complex multi-step problems
    • Mathematical and scientific analysis
    • Logical deduction and planning
    • Code architecture decisions

    Some models are by default thinking models (like GPT-5.1 Thinking Fast or OpenAI's o-series). Thinking is always active on them, with no separate toggle.

    Provider Tiers

    Each provider organizes their models into tiers:

    | Tier          | Examples            | Use Case                             |
    | ------------- | ------------------- | ------------------------------------ |
    | **Flagship**  | GPT-5, GPT-5.x      | Most capable, best for complex tasks |
    | **Reasoning** | o-series (o3, o4)   | Deep analytical tasks                |
    | **Efficient** | mini, nano variants | Fast, cost-effective                 |
    
    
    
    | Tier       | Examples      | Use Case                            |
    | ---------- | ------------- | ----------------------------------- |
    | **Opus**   | Claude Opus   | Most intelligent, complex reasoning |
    | **Sonnet** | Claude Sonnet | Balanced intelligence and speed     |
    | **Haiku**  | Claude Haiku  | Fast, efficient for simpler tasks   |
    
    
    
    | Tier      | Examples     | Use Case                     |
    | --------- | ------------ | ---------------------------- |
    | **Pro**   | Gemini Pro   | Most capable, complex tasks  |
    | **Flash** | Gemini Flash | Fast, real-time applications |
    
    
    
    | Provider     | Flagship      | Notes                       |
    | ------------ | ------------- | --------------------------- |
    | **Mistral**  | Mistral Large | Strong multilingual, coding |
    | **Meta**     | LLaMA         | Open-source, efficient      |
    | **DeepSeek** | DeepSeek R1   | Strong reasoning, coding    |
    

    Choosing the Right Model

    By Task Type

    TaskRecommended Model TypeWhy
    Quick questions, brainstormingFast/mini variantsSpeed matters, good enough quality
    Writing emails, documentsStandard flagshipGood balance of quality and speed
    Complex analysis, researchFlagship with Thinking enabledNeed highest accuracy
    Coding and debuggingAnthropic SonnetStrong at structured tasks
    Creative writingAnthropic modelsKnown for natural, authentic tone
    Long documentsGoogle GeminiExcellent long-context handling
    Math and scienceAny model with Thinking enabledStep-by-step problem solving

    Quick Decision Guide

    Not sure where to start?
    └─ Use Auto → Odeus picks the right model for you
    
    Know what you need?
    ├─ Simple, quick task → Use a fast/mini/flash model
    └─ Complex task
        ├─ Deep reasoning required → Use a flagship model with Thinking enabled
        └─ Otherwise → Use the standard flagship model
    

    Our Recommendations

    Choose Auto mode

    Not sure which model to pick? Select Auto from the model selector. Odeus analyzes your message and routes it to the right model. Fast and efficient for everyday tasks, and more capable when the request demands it.

    For Everyday Tasks

    Use the current flagship model from OpenAI or Anthropic. These provide the best balance of capability and speed for general use. Look for models without size indicators (no "mini", "fast", etc.).

    For Coding and Writing

    Anthropic's Sonnet models are consistently praised for natural-sounding text and strong coding capabilities. They have an authentic tone that works well for professional communication.

    For Complex Reasoning

    Enable Thinking on a flagship model when you need maximum accuracy on analytical tasks. This takes longer but significantly reduces errors on complex problems.

    For Speed-Sensitive Tasks

    Flash, mini, or nano variants deliver good results much faster. Perfect for real-time applications, iterating on ideas, or processing high volumes.

    Your model choice also affects how quickly you use your included usage limits. More powerful models consume more per interaction. See Fair Usage Policy for details.

    Image Generation Models

    Image models also follow naming patterns:

    ProviderModelsStrengths
    Black Forest LabsFlux seriesState-of-the-art quality, fast generation
    GoogleImagen seriesDiverse art styles, photo realism
    OpenAIDALL-E, GPT ImageText-to-image, integrated with chat

    For image generation, "Fast" variants prioritize speed while standard versions prioritize quality. Choose based on whether you need quick iterations or final-quality output.

    Staying Current

    AI models evolve rapidly. To stay current:

    1. Check the model selector - Odeus always shows the latest available models
    2. Look for version numbers - Higher numbers = newer capabilities
    3. Try new models - When a new version appears, test it on your typical tasks
    4. Read release notes - Providers announce major improvements with new releases

    Odeus continuously adds new models as they become available. The model selector in your chat always reflects the current options.