Selecting a model
- Whenever you start a new chat, you can use the model you want to work with at the top left.
- You can still change the model at the top left if you have already started a chat. For example, you can start with GPT-4.1 and, after three messages, switch to Claude Sonnet 4.
- You can also set your personal default model in the account settings here. The default for new users is GPT-4.1.
Selecting the right model
Below you find an overview of which models do exceptionally well at which use cases that you might encounter. Below, we also outline our personal recommendations based on our current user feedback.| Model | Strengths | Token Limits (Context Window and Output Limit) | Knowledge Cut-off |
|---|---|---|---|
| GPT-5.1 OpenAI | Fastest GPT‑5.1 variant for conversation and everyday tasks. Warmer communication style, high language understanding at low latency. Ideal for chat, writing, and support. | Input: 400,000 Output: 128,000 | Sep 30, 2024 |
| GPT-5.1 Thinking OpenAI | Deepest reasoning model from OpenAI, designed for complex analyses, multi-step planning, and coding tasks. Dynamically adjusts computation time based on complexity; excels through precise reasoning, structured explanations, and maximum transparency on challenging problems. | Input: 400,000 Output: 128,000 | Sep 30, 2024 |
| GPT-5.1 Thinking Fast OpenAI | Optimised reasoning model with better comprehensibility and clarity compared to GPT-5 Thinking. Spends less time on simple tasks and more on complex ones; uses adaptive reasoning for efficient, precise arguments and structured explanations – ideal for fast, intelligent analyses. | Input: 400,000 Output: 128,000 | Sep 30, 2024 |
| GPT-5 OpenAI | OpenAI’s latest flagship model with cutting-edge reasoning, advanced multimodal capabilities, and highest accuracy on complex tasks. Offers extended context capabilities, image understanding, and flexibility in response schemas, suited for enterprise applications. | Input: 400,000 Output: 128,000 | Sep 30, 2024 |
| GPT-5 Thinking Fast OpenAI | Reasoning variant of the GPT-5 series with higher accuracy and efficient token usage compared to o3. Better performance in visual reasoning and scientific problem-solving, reduces hallucinations with fewer errors on factuality benchmarks. Delivers more precise long-form answers and more reliable facts, optimised for research, technology, and highly complex analyses. | Input: 400,000 Output: 128,000 | Sep 30, 2024 |
| GPT-5 mini OpenAI | Faster, cost-efficient version of GPT-5 with near-flagship reasoning capabilities. Balances performance and speed, offering most GPT-5 features at a lower price – perfect for everyday professional tasks, routine content creation, and analysis. | Input: 400,000 Output: 128,000 | May 31, 2024 |
| GPT-5 nano OpenAI | Lightweight variant that prioritises speed and throughput while maintaining solid reasoning capabilities for common use cases. Delivers reliable answers at the lowest cost in the GPT-5 family and is suited for high-volume or latency-critical applications. | Input: 400,000 Output: 128,000 | May 31, 2024 |
| o3 OpenAI | Advanced technical writing & instruction following with outstanding mathematics, science, and programming capabilities. Excels at multi-step reasoning over text and code. A balanced and powerful model that sets new standards for mathematics, science, programming, and visual reasoning. | Input: 200,000 Output: 100,000 | Jun 01, 2024 |
| Claude Opus 4.5 Anthropic | Anthropic’s most intelligent and robustly aligned model, ideal for complex tasks, professional development, and advanced agents. Lower token consumption for reasoning, coding, and agent capabilities compared to Sonnet 4.5. Supports “effort control” for fine-tuned computation time and advanced context and memory management. | Input: 200,000 Output: 64,000 | Mar 01, 2025 |
| Claude Opus 4.5 Reasoning Anthropic | Reasoning version of Claude Opus 4.5, designed for problems requiring deep, step-by-step analysis. Specifically optimised for logical reasoning, complex planning, and multi-step inference. Utilises Opus 4.5 with expanded “effort level” for maximum analytical quality while reducing token consumption. | Input: 200,000 Output: 64,000 | Mar 01, 2025 |
| Claude Sonnet 4.5 Anthropic | Highest intelligence across most tasks with exceptional agent and programming capabilities and authentic, realistic tone for creative writing. Anthropic’s most advanced model that, according to multiple benchmarks, is comparable to GPT-5 models and even surpasses them in some areas. | Input: 200,000 Output: 64,000 | Nov 01, 2024 |
| Claude Sonnet 4 Anthropic | Excels at complex programming, creative writing, image analysis, and translation with a dual-mode system for fast responses and deep reasoning. Anthropic’s top model that improves upon Claude 3.7 with larger context window, seamless mode switching, better programming, and deeper reasoning. Maintains strong security and alignment. | Input: 1,000,000 Output: 64,000 | Nov 01, 2024 |
| Gemini 2.5 Flash | Excels at fast real-time content creation and robust image analysis, processes long documents and datasets with ease. Google’s fastest Gemini Flash model with large context window and double output length. Delivers results nearly twice as fast as its predecessor on tasks with long documents and multimodal analysis. | Input: 1,048,576 Output: 65,535 | Jan 01, 2025 |
| Gemini 2.5 Pro | Excels at fast real-time content and image analysis with ultra-long context for processing large documents. Google’s flagship model with support for large contexts that performs well on complex tasks and code. Prioritises nuanced reasoning and depth over speed and surpasses earlier Gemini models in accuracy and analysis. | Input: 1,048,576 Output: 65,535 | Jan 01, 2025 |
| Mistral Large 2411 Mistral | Mistral’s top model with outstanding reasoning capabilities and strengths in software development, programming, and multilingual abilities. Strong performance on demanding conversations and complex problem-solving. More refined than earlier versions with better instruction following. | Input: 128,000 Output: unspecified by Mistral | Oct 01, 2023 |
Our Recommendations
Our Default for Everyday Tasks: GPT-5 (OpenAI)
GPT-5 from OpenAI is our top recommendation for a versatile standard model, excelling in a wide range of tasks with its exceptional multimodal capabilities. This flagship model is ideal for users who need a powerful all-rounder, offering excellent performance in content generation, creative writing, image analysis, and multilingual support. GPT-5 stands out for its state-of-the-art reasoning capabilities while maintaining strong creative writing skills.A Hybrid Model for Coding and Writing: Claude Sonnet 4.5 (Anthropic)
Claude Sonnet 4.5 from Anthropic is our top recommendation for coding or text generation. Many of our users prefer Claude for writing their software code, emails, texts, translations etc. As with the previous versions of Claude Sonnet, we recommend it for coding and creating text, since it has an authentic and realistic tone of voice. We added two models to give you the choice on whether you want to use reasoning. The models are Claude Sonnet 4.5 and Claude Sonnet 4.5 Reasoning. Both offer amazing instruction-following abilities, minimal hallucination, and exceptional coding capabilities. We recommend it for its consistently high user satisfaction in language-related and software development tasks.The Specialized Model for Complex Reasoning: GPT-5 Thinking (OpenAI)
GPT-5 Thinking from OpenAI is our top recommendation for complex analytical tasks requiring maximum precision. This specialized variant excels at mathematical, scientific, and programming challenges through its advanced reasoning architecture, which breaks down intricate problems with exceptional clarity. The key technical advantage is its extended thinking capabilities combined with GPT-5’s state-of-the-art intelligence, enabling comprehensive analyses without losing coherence. While this deeper reasoning adds modest latency, the accuracy gains make it ideal for professional and enterprise applications requiring the highest quality outputs.Image Models
Below you will find the currently available image models within Langdock.| Model | Strengths |
|---|---|
| Flux1.1 Pro Ultra Black Forest Labs | The Black Forest Labs’ flagship model, offering state-of-the-art performance image generation at blazing speeds with top of the line prompt following, visual quality. |
| Flux.1 Kontext Black Forest Labs | State-of the art in-context image generation and editing by Black Forest Labs. Use it to combine text and images for precise, coherent results. |
| Imagen 4 | Google’s leading text-to-image model, engineered for creativity. Imagen 4 can render diverse art styles with greater accuracy - from photo realism and impressionism to abstract and illustration. |
| Imagen 4 Fast | Google’s image model which is optimised for rapid image generation and high-volume tasks. |
| Gemini 2.5 Flash Image (Nano Banana) | Google’s advanced AI image editing model, part of Gemini 2.5 Flash, that allows users to transform and edit photos using natural language prompts with fast, precise, and consistent results. Currently not available with exclusive EU-hosting. |
| DALL-E 3 OpenAI | OpenAI’s legacy text-to-image AI model that generates images from written prompts by combining language and visual understanding. |
| GPT Image 1 OpenAI | GPT Image 1 is OpenAI’s new state-of-the-art image generation model. It is a natively multimodal language model that accepts both text and image inputs, and produces image outputs. |
Legacy models
The following models are still available and can be used. However, our recommendation is to use the newer versions of them.For context: the older model versions have limitations in performance and accuracy compared to their newer counterparts. The newer versions include significant improvements in response quality, speed, and safety features that we’ve developed based on user feedback and technical advances.You can continue using the older versions if needed for compatibility reasons, but we’d recommend migrating to the newer versions when possible for the best experience.
| Model | Strengths | Token Limits (Context Window and Output Limit) | Knowledge Cut-off |
|---|---|---|---|
| GPT-5 Chat OpenAI | Conversationally fine-tuned GPT-5 model optimised for dialogue, customer support, and interactive assistants | Input: 128,000 Output: 16,384 | Sep 30, 2024 |
| GPT-4.1 OpenAI | Content Generation & Creative Writing, Strong Analytical Skills, high proficiency in logical reasoning and problem-solving | Input: 1,047,576 Output: 32,768 | Jun 01, 2024 |
| GPT-4.1 mini OpenAI | Smaller, faster version of GPT-4.1. Great for everyday tasks with significantly faster responses. | Input: 1,047,576 Output: 32,768 | Jun 01, 2024 |
| GPT-4.1 nano OpenAI | Fast and efficient content generation, quick interactive responses, and solid performance on everyday tasks | Input: 1,047,576 Output: 32,768 | Jun 01, 2024 |
| o4 mini OpenAI | Excels at visual tasks, optimized for fast, effective reasoning. | Input: 200,000 Output: 100,000 | Oct 01, 2023 |
| GPT-4o OpenAI | Content Generation & Creative Writing, Data Analysis (Excel & CSV files), Image Analysis, Translation and Multilingual Support | Input: 128,000 Output: 16,384 | Oct 01, 2023 |
| GPT-4o Mini OpenAI | Speed and Efficiency, Image Analysis | Input: 128,000 Output: 16,384 | Oct 01, 2023 |
| o1 OpenAI | Excels at real-time reasoning, planning, content creation, coding, and coherence in extended conversations. | Input: 200,000 Output: 100,000 | Oct 01, 2023 |
| o3 Mini High OpenAI | Enhanced accuracy and depth of response while still benefiting from an optimized, efficient architecture | Input: 200,000 Output: 100,000 | Oct 01, 2023 |
| LLaMA 3.3 70B Meta | Speed and Efficiency, Multilingual Capabilities | Input: 128,000 Output: 2,048 | Aug 01, 2023 |
| DeepSeek R1 32B DeepSeek | Software Development & Coding, Hallucination Resistance | Input: 128,000 Output: 8,000 | Jan 01, 2025 |
| Claude 3.7 Sonnet Anthropic | Software Development & Coding, Content Generation & Creative Writing, Image Analysis, Translation and Multilingual Support | Input: 200,000 Output: 8,192 | Nov 01, 2024 |
| Gemini 2.0 Flash | Long-Context Analysis & Document Processing, Image Analysis, Speed and Efficiency | Input: 1,048,576 Output: 8,192 | Aug 01, 2024 |
| Gemini 1.5 Pro | Long-Context Analysis & Document Processing, Image Analysis | Input: 2,097,152 Output: 8,192 | May 01, 2024 |