​
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.
ModelProviderStrengthsToken Limits (Context Window and Output Limit)Notes
GPT-5OpenAIState-of-the-art reasoning, advanced multimodal capabilities, highest fidelity responses for complex tasksInput: 272,000
Output: 16,000		GPT-5 is OpenAI’s newest flagship model, featuring extended context, image understanding, and response schema flexibility suitable for enterprise-grade workloads.
GPT-5 miniOpenAIFaster, cost-efficient version of GPT-5 with near-flagship reasoning, ideal for everyday professional tasksInput: 272,000
Output: 16,000		GPT-5 mini balances performance and speed, offering most GPT-5 capabilities at a lower price point—perfect for routine content creation and analysis.
GPT-5 nanoOpenAILightweight variant prioritising speed and throughput while retaining solid reasoning for common use casesInput: 272,000
Output: 16,000		GPT-5 nano delivers reliable answers at the lowest cost in the GPT-5 family, making it suitable for high-volume or latency-critical applications.
GPT-5 ChatOpenAIConversationally fine-tuned GPT-5 model optimised for dialogue, customer support, and interactive assistantsInput: 272,000
Output: 16,000		GPT-5 Chat is tailored for chat scenarios, emphasising dialogue coherence and persona consistency while leveraging the full reasoning strength of GPT-5.
o3OpenAIAdvanced technical writing & instruction-following, outstanding math, science, and coding skills, excels at multi-step reasoning across text, code.Input: 200,000 Output: 100,000o3 is a well-rounded and capable model that performs strongly across a range of domains. It sets a new standard for mathematics, science, coding, and visual reasoning, and also excels in technical writing and instruction-following.
Claude Sonnet 4AnthropicExcels at complex coding, creative writing, image analysis, and translation, with a dual-mode system for both quick answers and in-depth reasoningInput: 200,000 Output: 64,000Anthropic’s top model, Claude Sonnet 4, improves on Claude 3.7 with a larger context window, smoother mode switching, better coding, and deeper reasoning. Maintains strong safety and alignment.
Gemini 2.5 FlashGoogleExcels at rapid, real-time content generation and robust image analysis, handling long documents and datasets with ease.Input: 1,048,576 Output: 65,535Google’s fastest Gemini Flash model, with a large context window and double the output length. Excels at long-document tasks and multi-modal analysis, delivering results nearly twice as fast as its predecessor.
Gemini 2.5 ProGoogleExcels at fast, real-time content and image analysis with ultra-long context for handling large documents.Input: 1,048,576 Output: 65,535Google’s Flagship Gemini 2.5 Pro model offers large context support and excels at complex tasks and code. It prioritises nuanced reasoning and depth over speed, outperforming previous Gemini models in accuracy and analysis.
Mistral Large 2411MistralSoftware Development & Coding, Multilingual CapabilitiesInput: 131,000 Output: 4,096Mistral’s top model with excellent reasoning capabilities. Strong performance on sophisticated conversations and complex problem-solving. More refined than previous versions with better instruction following.

​
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 (Anthropic)

Claude Sonnet 4 from Anthropic is our top recommendation for coding or text generation. Many of our users prefer Claude over GPT-4.1 for writing their software code, emails, texts, translations etc. This hybrid model is ideal if you need both quick answers and in-depth analysis, offering a standard mode for efficient responses and an extended thinking mode for complex tasks. Claude Sonnet 4 offers amazing instruction-following abilities, minimal hallucination, and improved 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.

​
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.
ModelProviderStrengthsToken Limits (Context Window and Output Limit)Notes
GPT-4.1OpenAIContent Generation & Creative Writing, Strong Analytical Skills, high proficiency in logical reasoning and problem-solvingInput: 1,047,576
Output: 32,768		OpenAI’s refined flagship before GPT-5, features a large context window, improved accuracy, and multimodal abilities. Still excellent for creative, analytical, and reasoning tasks.
GPT-4.1 miniOpenAISmaller, faster version of GPT-4.1. Great for everyday tasks with significantly faster responses.Input: 1,047,576
Output: 32,768		GPT-4.1 mini is a streamlined variant of OpenAI’s GPT-4.1 model, delivering fast, efficient responses while maintaining robust language understanding.
GPT-4.1 nanoOpenAIFast and efficient content generation, quick interactive responses, and solid performance on everyday tasksInput: 1,047,576
Output: 32,768		ChatGPT 4.1 nano is a lightweight and fast variant ideal for real-time assistants and high-volume use. Optimised for speed and lower resource use.
o4 miniOpenAIExcels at visual tasks, optimized for fast, effective reasoning.Input: 200,000
Output: 100,000		OpenAI’s o-series small model, o4-mini, excels at fast, effective reasoning and delivers highly efficient coding and visual performance.
GPT-4oOpenAIContent Generation & Creative Writing, Data Analysis (Excel & CSV files), Image Analysis, Translation and Multilingual SupportInput: 128,000
Output: 16,384		OpenAI’s previous flagship model with good multimodal capabilities. Balanced performance and speed with creative writing and reasoning skills.
GPT-4o MiniOpenAISpeed and Efficiency, Image AnalysisInput: 128,000
Output: 16,384		Faster and more cost-effective than GPT-4o but with reduced capabilities for complex tasks. Ideal for quick responses and lightweight applications where speed matters more than depth.
o1OpenAIExcels at real-time reasoning, planning, content creation, coding, and coherence in extended conversations.Input: 200,000 Output: 100,000ChatGPT o1, an optimised OpenAI model bridging GPT-4 and future GPT versions, delivers good dialogue management. It balances efficiency and advanced reasoning.
o3 Mini HighOpenAIEnhanced accuracy and depth of response while still benefiting from an optimized, efficient architectureInput: 200,000 Output: 100,000Upgraded o3 Mini for deeper, more powerful outputs. Handles longer, more detailed tasks while staying efficient.
LLaMA 3.3 70BMetaSpeed and Efficiency, Multilingual CapabilitiesInput: 128,000 Output: 2,048Meta’s open-source model with competitive performance against proprietary alternatives. Significant improvement over previous Llama models with better reasoning and instruction following.
DeepSeek R1 32BDeepSeekSoftware Development & Coding, Hallucination ResistanceInput: 128,000 Output: 8,000As the first competitive model from China, Deep Seek R1 is particularly impressive, considering it was built with significantly fewer resources than competitors like OpenAI. Optimized for quality of reasoning rather than speed, it demonstrates exceptional performance on benchmarks like math and coding challenges.
Claude 3.7 SonnetAnthropicSoftware Development & Coding, Content Generation & Creative Writing, Image Analysis, Translation and Multilingual SupportInput: 200,000 Output: 8,192Anthropic’s previous flagship model with unique dual-mode capability. Features standard mode for quick answers and extended thinking mode for complex reasoning tasks. Significantly improved coding capabilities over previous Claude models.
Gemini 2.0 FlashGoogleLong-Context Analysis & Document Processing, Image Analysis, Speed and EfficiencyInput: 1,048,576 Output: 8,192Google’s previous flagship high-speed model with a large context window. Outperforms the previous Gemini 1.5 Pro model on key benchmarks while being twice as fast.
Gemini 1.5 ProGoogleLong-Context Analysis & Document Processing, Image AnalysisInput: 2,097,152 Output: 8,192Google’s older model with 2M token context window. Strong multimodal capabilities and good for long-context applications.