> ## Documentation Index
> Fetch the complete documentation index at: https://help.wonka.chat/llms.txt
> Use this file to discover all available pages before exploring further.

# Model comparison

> Every model in WonkaChat side by side: what it is best at, speed, cost, region and public benchmarks.

WonkaChat gives you 14 AI models from 6 providers. This page helps you pick one: start with the task you have in mind, then compare the models in detail.

<Tip>Not sure? Pick the **Router** in the model picker: it chooses a model for each message. See [Choosing a model](/en/improved-usage/choosing-a-model).</Tip>

## Which model for which task

| Task | Recommended models |
| - | - |
| Everyday writing, emails and summaries | [GPT-5.6 Luna](#model-gpt-5-6-luna), [Claude Sonnet 5.5](#model-claude-sonnet-5-5), [Mistral Large 4](#model-mistral-large-4) |
| Connected business tools (ERP, CRM, email) | [GPT-6.1 Sol](#model-gpt-6-1-sol), [Claude Sonnet 5.5](#model-claude-sonnet-5-5), [GPT-5.6 Luna](#model-gpt-5-6-luna) |
| Complex analysis, strategy and hard problems | [Claude Opus 5.5](#model-claude-opus-5-5), [GPT-6.1 Sol](#model-gpt-6-1-sol), [Claude Sonnet 5.5](#model-claude-sonnet-5-5) |
| Quick answers and high volumes | [Claude Haiku 5.5](#model-claude-haiku-5-5), [Gemini 3.8 Flash](#model-gemini-3-8-flash), [Gemini 3.1 Flash Lite](#model-gemini-3-1-flash-lite) |
| Images, scans and visual documents | [Gemini 3.8 Flash](#model-gemini-3-8-flash), [Gemini 3.1 Pro (Vertex AI)](#model-gemini-3-1-pro--vertex-ai), [GPT-6.1 Sol](#model-gpt-6-1-sol) |
| Very long documents | [Gemini 3.1 Pro (Vertex AI)](#model-gemini-3-1-pro--vertex-ai), [Kimi K3](#model-kimi-k3), [GLM 5.2](#model-glm-5-2) |
| Data that must stay in Europe | [Mistral Large 4](#model-mistral-large-4), [GPT-5.6 Luna](#model-gpt-5-6-luna), [Claude Sonnet 5.5](#model-claude-sonnet-5-5) |

## Recommended models

These models are highlighted in the model picker. They cover most needs.

<CardGroup cols={2}>
  <Card title="GPT-5.6 Luna">
    OpenAI · € · 🇪🇺 EU

    Balanced everyday work at a low cost
  </Card>

  <Card title="GPT-6.1 Sol">
    OpenAI · €€ · 🇪🇺 EU

    Strong reasoning for demanding professional work and connected tools
  </Card>

  <Card title="Mistral Large 4">
    Mistral AI · € · 🇪🇺 EU

    European model for capable, cost-efficient work
  </Card>

  <Card title="Claude Haiku 5.5">
    Anthropic · € · 🇪🇺 EU

    Fast answers for high volumes and cost-sensitive work
  </Card>

  <Card title="Claude Opus 5.5">
    Anthropic · €€€ · 🇪🇺 EU

    The most capable Claude model, for the hardest tasks
  </Card>
</CardGroup>

## All models

| Model | Provider | Best for | Speed | Cost | Region |
| - | - | - | - | - | - |
| <a id="model-gpt-5-6-luna" />**GPT-5.6 Luna** | OpenAI | Balanced everyday work at a low cost | ●●●●○ | € | 🇪🇺 EU |
| <a id="model-gpt-6-1-sol" />**GPT-6.1 Sol** | OpenAI | Strong reasoning for demanding professional work and connected tools | ●●○○○ | €€ | 🇪🇺 EU |
| <a id="model-mistral-large-4" />**Mistral Large 4** | Mistral AI | European model for capable, cost-efficient work | ●●●●○ | € | 🇪🇺 EU |
| <a id="model-claude-haiku-5-5" />**Claude Haiku 5.5** | Anthropic | Fast answers for high volumes and cost-sensitive work | ●●●●● | € | 🇪🇺 EU |
| <a id="model-claude-opus-5-5" />**Claude Opus 5.5** | Anthropic | The most capable Claude model, for the hardest tasks | ●●●○○ | €€€ | 🇪🇺 EU |
| <a id="model-claude-sonnet-5-5" />**Claude Sonnet 5.5** | Anthropic | Strong reasoning with balanced speed and natural writing | ●●●●○ | €€ | 🇪🇺 EU |
| <a id="model-gemini-3-1-flash-lite" />**Gemini 3.1 Flash Lite** | Google | The lowest-cost option for light tasks | ●●●●● | € | 🇪🇺 EU |
| <a id="model-gemini-3-1-pro--vertex-ai" />**Gemini 3.1 Pro (Vertex AI)** | Google | Advanced reasoning on long and visual documents (preview) | ●●●○○ | €€€ | 🌐 Global |
| <a id="model-gemini-3-7-flash" />**Gemini 3.7 Flash** | Google | Previous fast Gemini model for text, images and documents | ●●●●○ | €€€ | 🇪🇺 EU |
| <a id="model-gemini-3-8-flash" />**Gemini 3.8 Flash** | Google | Fast work on text, images and documents | ●●●●● | €€€ | 🇪🇺 EU |
| <a id="model-mistral-medium" />**Mistral Medium** | Mistral AI | Efficient European model for everyday work | ●●●●● | €€ | 🇪🇺 EU |
| <a id="model-kimi-k2-5" />**Kimi K2.5** | Moonshot AI | Efficient work on long documents | ●●●●○ | €€ | 🌐 Global |
| <a id="model-kimi-k3" />**Kimi K3** | Moonshot AI | Reasoning on very long documents | ●●○○○ | €€€€ | 🌐 Global |
| <a id="model-glm-5-2" />**GLM 5.2** | Z.ai | Reasoning on long documents, hosted in Europe | ●●●○○ | € | 🇪🇺 EU |

## Benchmarks and technical details

**Intelligence Index** comes from [Artificial Analysis Intelligence Index v4.3.2](https://artificialanalysis.ai/leaderboards/models), retrieved on October 15, 2026. A higher score is better. It measures general capability on public tests, not how well a model works with your own tools and data.

| Model | Intelligence Index | Reasoning | Context window |
| - | - | - | - |
| **Claude Opus 5.5** | 54 | Yes | 1M tokens |
| **GPT-6.1 Sol** | 50 | Yes | 1M tokens |
| **Claude Sonnet 5.5** | 47 | Yes | 1M tokens |
| **Kimi K3** | 44 | Yes | 1M tokens |
| **Gemini 3.8 Flash** | 41 | Yes | 1M tokens |
| **Gemini 3.7 Flash** | 39 | No | 1M tokens |
| **Mistral Large 4** | 38 | Yes | 1M tokens |
| **Claude Haiku 5.5** | 38 | Yes | 1M tokens |
| **GLM 5.2** | 34 | Yes | 1M tokens |
| **GPT-5.6 Luna** | 32 | Yes | 1M tokens |
| **Gemini 3.1 Pro (Vertex AI)** | 30 | Yes | 1M tokens |
| **Kimi K2.5** | 23 | No | 262K tokens |
| **Gemini 3.1 Flash Lite** | 16 | No | 1M tokens |
| **Mistral Medium** | 14 | No | 131K tokens |

## How to read this page

* **Speed**: how fast the model answers, from ● (slow) to ●●●●● (very fast).
* **Cost**: how many credits the model uses compared with the others, from € (lowest) to €€€€ (highest). See [AI usage and credits](/en/pricing/tokens-guide) for how credits work.
* **Region**: where the model runs. 🇪🇺 EU stays in the European Union, 🇺🇸 US runs in the United States, 🌐 Global can run in any region of the provider.
* **Reasoning**: the model thinks step by step before answering. Needed for connected business tools (ERP, CRM, email).
* **Context window**: how much text the model can read at once (1M tokens is roughly 750,000 words).

<Info>Your administrator decides which models your organization can use. If a model listed here is missing from your model picker, ask them.</Info>

*Model list updated on October 15, 2026.*


This documentation is built and hosted on [Mintlify](https://mintlify.com), a developer documentation platform.