# Available Models uniGPT offers a variety of models — both **internal** (hosted on-premises at the university) and **external** (provided via cloud partners). We always support the **latest** model generation as well as **latest-1** (the previous generation), so you can keep using familiar models while new ones are introduced. For balance reset details and practical advice on conserving credits, see [Usage Limits & Balance](). ## Choosing the Right Model Rule of thumb: **start with a cheap model** and only switch to a more expensive one if the result isn't good enough. - **Everyday tasks (default)**: **DeepSeek V4 Flash** for most requests (possible bias on China-related political topics). **gemma-4-31B-it** is a strong alternative, especially for writing. - **Up-to-date or specific information from the web**: **Gemini Flash 3.8** (stronger) or **GPT 5.6 Luna** (cheaper) with **web search enabled**. - **Harder tasks** (e.g. programming, complex analysis): **GPT 5.6 Sol** - **Only for really hard tasks**: **GPT-6 Astra**, **Claude Opus 5**. Both are extremely capable but by far the most expensive options per task. - **Medical text & image tasks**: **medgemma-1.5-4b-it** - **Sensitive/confidential data**: **Always use internal models**, regardless of task difficulty. For coding, use **Qwen3.8-27B**; for demanding tasks, **gpt-oss-120b**. Do not enable web search. ## Internal Models (On-Premises) These models run entirely on university infrastructure. Your data **never leaves the university**, making them fully GDPR-compliant and suitable for sensitive data. Costs for internal models are given as credit costs per 1M tokens (input / output). | Model | Description | Input / output cost (credits) | | --- | --- | --- | | **DeepSeek V4 Flash** | Fast, cost-effective reasoning model; multimodal (Vision) with image support | 0.14 / 0.28 | | **Qwen3.8-27B** | Fast, capable general-purpose model | 2 / 6 | | **Qwen3.5-35B-A3B** | Chinese advanced reasoning and coding model with image support | 0.035 / 0.138 | | **Muse-Glimmer-30B** | Open-weight model by Meta, successor to Llama-3.3 | — | | **gemma-4-31B-it** | Efficient multimodal model with image support | 0.09 / 0.16 | | **medgemma-1.5-4b-it** | Specialized multimodal model for medical text and image understanding | 0.02 / 0.04 | | **gpt-oss-120b** | Large internal model for complex tasks | 0.15 / 0.6 | | **mistral-small-4** | Hybrid model unifying instruct, reasoning, and coding capabilities | 0.15 / 0.2 | > [!CAUTION] > > **Retired models** > > **Gemma 3** and **Mistral Small (Legacy)** have been retired. **Llama-3.3-70B** has been replaced by **Muse-Glimmer-30B**. > [!TIP] > > **Best for sensitive data** > > Use internal models when working with personal data, unpublished research, or any data subject to GDPR restrictions. ## External Models (Cloud Providers) These models are accessed via cloud providers through the [GÉANT OCRE framework](). While they offer state-of-the-art performance, data is processed externally. Costs are given as credit costs per 1M tokens (input / output). | Model | Provider | Notes | Input / output cost (credits) | | --- | --- | --- | --- | | **GPT-6 Astra** | OpenAI | New flagship model, available for employees only | 10 / 50 | | **GPT 5.6 Sol** | OpenAI | Flagship reasoning model | 5 / 30 | | **GPT 5.6 Luna** | OpenAI | Cost-efficient GPT-5.6 variant | 1 / 6 | | **Claude Opus 5** | Anthropic (via Google Cloud) | Strongest Claude model for deep analysis | 5 / 25 | | **Claude Sonnet 5** | Anthropic (via Google Cloud) | Balanced writing and analysis model | 2 / 10 | | **Claude Haiku 4.5** | Anthropic (via Google Cloud) | Fastest and cheapest Claude option | 1 / 5 | | **Gemini Flash 3.8** | Google Cloud | Latest fast multimodal model, available for all | 0.75 / 3.75 | | **Gemini 3.1 Pro** | Google Cloud | Older and larger multimodal model | 2 / 12 | > [!NOTE] > > **Costs** > > Credit costs are per 1M tokens (input / output) and equal the providers' base list prices. **uniGPT may still apply its own markup, exchange rate, caching rules, or internal-model pricing.** > [!WARNING] > > **Cost awareness** > > External models cost significantly more per token than internal models. The university receives only a minimal discount (\<5%) from providers. **Please use external models sparingly** and prefer internal models or cost-effective options like **DeepSeek V4 Flash**, **GPT 5.6 Luna**, or **Gemini Flash 3.8** when possible. Note in particular that **GPT-6 Astra and Opus are extremely capable but expensive** — reserve them for complex tasks and use cheaper models for standard requests or testing. Otherwise, user limits may need to be reduced. For current balance behavior and reset timing, see [Usage Limits & Balance]().