> For the complete documentation index, see [llms.txt](https://docs.qolaba.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.qolaba.ai/model-reference/chatbot-models.md).

# Chatbot Models

Qolaba's Chatbot gives you access to 30+ large language models across six providers — all from a single interface. Each model has a different context window, credit cost, and area of strength. Use this page as a reference when selecting a model for a specific task.

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### How to Read This Page

<table><thead><tr><th width="229.64453125">Column</th><th>What It Means</th></tr></thead><tbody><tr><td><strong>Context Window</strong></td><td>Maximum tokens the model can process in a single request — includes your prompt, conversation history, uploaded files, and the model's response. See <a href="/pages/0qEffBKJmqIjV3bW7CAg">Model Information Panel →</a> for a detailed explanation of how context windows work.</td></tr><tr><td><strong>Input Credits / 1K tokens</strong></td><td>Credits consumed per 1,000 input tokens — your prompt, files, conversation history, and system instructions</td></tr><tr><td><strong>Output Credits / 1K tokens</strong></td><td>Credits consumed per 1,000 output tokens — the model's generated response, including thinking tokens if Thinking Depth is enabled</td></tr></tbody></table>

{% hint style="info" %}
Models marked with ⭐ are available on **paid plans only**.
{% endhint %}

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### Gemini Models

*Google*

Gemini models are Google's family of large language models — strong across long-context tasks, multimodal inputs, and general-purpose generation. The 1M token context window across most Gemini models makes them particularly well-suited for large document analysis, extended research sessions, and long conversations.

| Model                        | Context Window | Input Credits / 1K | Output Credits / 1K | Best For                                                                                |
| ---------------------------- | -------------- | ------------------ | ------------------- | --------------------------------------------------------------------------------------- |
| **Gemini 2.5 Flash**         | 1M             | 0.08               | 0.65                | Fast, cost-efficient general tasks — everyday queries, summarization, quick drafts      |
| **Gemini 2.5 Pro**           | 1M             | 0.33               | 0.39                | Balanced quality and cost — research, analysis, long-document processing                |
| **Gemini 3 Flash Preview**   | 1M             | 0.13               | 0.78                | Fast generation with improved quality over 2.5 Flash — content drafting, quick analysis |
| **Gemini 3 Pro Preview** ⭐   | 1M             | 0.52               | 3.12                | High-quality outputs — complex reasoning, detailed analysis, nuanced writing            |
| **Gemini 3.1 Pro Preview** ⭐ | 1M             | 1.04               | 4.68                | Highest quality Gemini output — advanced reasoning, complex multi-step tasks            |

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### Claude Models

*Anthropic*

Claude models are Anthropic's family of large language models — known for strong instruction following, nuanced writing quality, and reliable performance on long-form content. Claude models have a 200K context window, making them well-suited for detailed documents, complex briefs, and extended reasoning tasks.

| Model                   | Context Window | Input Credits / 1K | Output Credits / 1K | Best For                                                                                |
| ----------------------- | -------------- | ------------------ | ------------------- | --------------------------------------------------------------------------------------- |
| **Claude Sonnet 4.6** ⭐ | 1M             | 0.78               | 3.90                | Balanced quality and speed — writing, analysis, coding, general professional tasks      |
| **Claude Opus 4.6** ⭐   | 200K           | 1.30               | 6.50                | Premium quality — complex reasoning, detailed writing, nuanced instruction following    |
| **Claude Opus 4.7** ⭐   | 200K           | 1.30               | 6.50                | Latest Opus — advanced reasoning, high-complexity tasks, long-form professional content |

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### OpenAI Models

*OpenAI*

OpenAI models span a wide range — from the most cost-efficient nano models for everyday tasks to advanced reasoning models for complex problem solving. The GPT and o-series models offer strong prompt comprehension, reliable structured output, and broad capability across coding, writing, and analysis.

| Model              | Context Window | Input Credits / 1K | Output Credits / 1K | Best For                                                                                |
| ------------------ | -------------- | ------------------ | ------------------- | --------------------------------------------------------------------------------------- |
| **GPT-4.1** ⭐      | 1M             | 0.52               | 2.08                | General-purpose — reliable across writing, coding, analysis, and summarization          |
| **GPT-4.1 Mini**   | 1M             | 0.10               | 0.42                | Cost-efficient general tasks — everyday queries, drafts, quick summaries                |
| **GPT-5 Nano**     | 128K           | 0.03               | 0.10                | Most cost-effective OpenAI model — rapid iteration, high-volume simple tasks            |
| **GPT-5 Mini**     | 200K           | 0.12               | 0.94                | Lightweight everyday tasks — content drafting, quick answers, basic analysis            |
| **GPT-5.2** ⭐      | 200K           | 0.46               | 3.64                | Balanced quality — professional writing, structured analysis, coding assistance         |
| **GPT-5.2 Pro** ⭐  | 200K           | 5.46               | 43.68               | Maximum GPT-5.2 capability — highest quality structured outputs, complex reasoning      |
| **GPT-5.4** ⭐      | 272K           | 0.65               | 3.90                | Strong general capability — detailed analysis, complex writing, multi-step tasks        |
| **GPT-5.4 Mini**   | 200K           | 0.20               | 1.17                | Balanced speed and quality — content creation, moderate complexity tasks                |
| **GPT-5.4 Nano**   | 128K           | 0.05               | 0.33                | Fast, low-cost iteration — simple tasks, drafts, quick queries                          |
| **GPT-5.5** ⭐      | 1M             | 1.30               | 7.80                | Flagship GPT model — advanced reasoning, complex multi-step tasks, high-quality outputs |
| **OpenAI o1** ⭐    | 200K           | 4.29               | 17.16               | Advanced reasoning — complex logic, math, coding, multi-step problem solving            |
| **OpenAI o3** ⭐    | 200K           | 0.52               | 2.08                | Strong reasoning at moderate cost — analytical tasks, structured problem solving        |
| **OpenAI o4 Mini** | 200K           | 0.29               | 1.14                | Cost-efficient reasoning — logic tasks, coding, analysis at lower credit cost           |

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### DeepSeek Models

*DeepSeek*

DeepSeek models deliver strong technical performance — particularly for coding, mathematical reasoning, and analytical tasks — at highly competitive credit costs. Well-suited for developer workflows and cost-sensitive high-volume use cases.

<table><thead><tr><th width="161.703125">Model</th><th>Context Window</th><th>Input Credits / 1K</th><th>Output Credits / 1K</th><th>Best For</th></tr></thead><tbody><tr><td><strong>DeepSeek V3.2</strong> ⭐</td><td>131K</td><td>0.07</td><td>0.10</td><td>Cost-efficient general tasks — coding assistance, technical writing, analysis</td></tr><tr><td><strong>DeepSeek V3.2 Speciale</strong> ⭐</td><td>128K</td><td>0.07</td><td>0.10</td><td>General-purpose tasks — everyday queries, content drafting, summarization</td></tr><tr><td><strong>DeepSeek R1</strong> ⭐</td><td>164K</td><td>0.18</td><td>0.65</td><td>Reasoning tasks — multi-step logic, math, structured problem solving</td></tr></tbody></table>

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### Grok Models

*xAI*

Grok models are xAI's family of large language models — built for fast, real-time responses with strong general capability. The 2M token context window makes Grok models the highest context capacity models available in Qolaba — suited for extremely long documents, large codebases, and extended multi-turn conversations.

| Model               | Context Window | Input Credits / 1K | Output Credits / 1K | Best For                                                                                                     |
| ------------------- | -------------- | ------------------ | ------------------- | ------------------------------------------------------------------------------------------------------------ |
| **Grok 4.1 Fast** ⭐ | 2M             | 0.05               | 0.16                | Fast, cost-efficient responses — everyday tasks, quick analysis, real-time queries                           |
| **Grok 4.20** ⭐     | 2M             | 0.52               | 1.56                | High-quality responses with maximum context — large document analysis, extended conversations, complex tasks |

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### Perplexity Models

*Sonar*

Perplexity's Sonar models are purpose-built for web-grounded responses — all models have built-in internet search, delivering answers backed by live, up-to-date sources rather than training data alone. Best for research, fact-checking, competitive intelligence, and any query where current information matters.

| Model                     | Context Window | Input Credits / 1K | Output Credits / 1K | Best For                                                                                         |
| ------------------------- | -------------- | ------------------ | ------------------- | ------------------------------------------------------------------------------------------------ |
| **Sonar**                 | 127K           | 0.26               | 0.26                | Fast web-grounded responses — general research, current events, quick fact-checking              |
| **Sonar Pro**             | 200K           | 0.78               | 3.90                | Higher quality web-grounded responses — detailed research, in-depth analysis with live sources   |
| **Sonar Reasoning Pro** ⭐ | 200K           | 0.52               | 2.08                | Web-grounded reasoning — research tasks requiring logical analysis of live information           |
| **Sonar Deep Research** ⭐ | 128K           | 0.52               | 2.08                | Deep, multi-source research — comprehensive reports, competitive analysis, thorough fact-finding |

***

### Choosing the Right Model

With 30+ models available, here is a practical starting point for common use cases:

| Use Case                                 | Recommended Model                   | Reason                                           |
| ---------------------------------------- | ----------------------------------- | ------------------------------------------------ |
| **Everyday tasks and drafting**          | Gemini 2.5 Flash or GPT-4.1 Mini    | Low cost, reliable quality for standard tasks    |
| **Professional writing and analysis**    | Claude Sonnet 4.6 or GPT-5.2        | Strong writing quality and instruction following |
| **Complex reasoning and logic**          | OpenAI o3 or DeepSeek R1            | Purpose-built for multi-step reasoning           |
| **Advanced reasoning — maximum quality** | OpenAI o1 or Gemini 3.1 Pro Preview | Highest reasoning capability available           |
| **Coding and technical tasks**           | DeepSeek V3.2 or GPT-5.4            | Strong technical performance at competitive cost |
| **Research with live web data**          | Sonar or Sonar Deep Research        | Built-in web search for current, sourced answers |
| **Long document analysis**               | Grok 4.20 or Gemini 2.5 Pro         | 1M–2M context window for large inputs            |
| **High-volume, cost-sensitive tasks**    | GPT-5 Nano or Grok 4.1 Fast         | Lowest credit cost per token                     |
| **Premium quality — best output**        | GPT-5.5 or Claude Opus 4.7          | Flagship models for highest quality output       |