AI model recommendations

Choosing the right model for your task

The various AI models in nele.ai are optimized for different use cases. This overview will help you choose the right model for your specific tasks to achieve optimal results while using your credits efficiently.

The models can be divided into five main categories, which differ in terms of complexity, use case, and credit consumption.

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Note for professionals bound by confidentiality: If you are subject to professional secrecy obligations, ensure that you only select model variants hosted on European servers via Google, AWS Bedrock, Mistral, or Azure. In such cases, avoid using OpenAI or Anthropic directly. Many models are available in both versions – you can find the relevant server location information in the model overview.

Everyday tasks - Fast and efficient processing

Recommended models:

• GPT 5.6 Luna

• GPT-5.4-mini / GPT-5.4-nano

• GPT-5 mini / GPT-5 nano

• Gemini 2.5 Flash / Gemini 3.5 Flash

• Claude 4.5 Haiku

• Mistral Small 4 / Mistral Medium 3.5

• Mistral Small / Mistral Medium 3 (via Google)

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Use cases:

Text editing and communication:

• Correcting spelling and grammar

• Translating into different languages

• Drafting emails and business correspondence

• Creating social media content

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Everyday content creation:

• Summarizing articles and documents

• Generating simple website content

• Writing product descriptions

• Creating FAQ texts

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When to choose this category: These models are suitable for fast, cost-effective solutions for everyday text tasks where a certain level of context understanding is helpful. They consume fewer credits than the higher categories and deliver reliable results for clearly defined instructions.

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Business applications - Complex and analytical tasks

Recommended models:

• GPT 5.6 Terra

• GPT-5.5 / GPT-5.4 / GPT-5.2 / GPT-5.1 / GPT-5

• Claude 5 Sonnet

• Gemini 2.5 Pro

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Areas of application:

Business analysis:

• Conducting extensive data analysis

• Developing and revising business plans

• Creating and evaluating business reports

• Compiling market research reports

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Comparative work:

• Document comparisons with detailed analysis

• Creating competitive analyses

• Conducting contract comparisons

• Strategic assessments

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Professional assistance:

• Complex assistant prompts for specific use cases

• Strategic decision-making support

• Detailed project planning

• Comprehensive research

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When to choose this category: For demanding business tasks that require deep understanding, analytical thinking, and comprehensive expertise. These models offer higher quality for complex queries and a balanced trade-off between performance and credit consumption.

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Premium applications - Highest requirements for depth and precision

Recommended models:

• GPT 5.6 Sol

• Claude 5 Opus / Claude 4.8 Opus / Claude 4.7 Opus

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Use cases:

Highly demanding tasks:

• Complex strategic decision-making at the executive level

• In-depth scientific and technical analyses

• Extensive research projects with a high level of detail

• Sophisticated programming and algorithmic tasks requiring the highest precision

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When to choose this category: For the most demanding tasks where maximum quality, accuracy, and analytical depth are the priority, and the higher credit consumption is secondary to the quality of the results.

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Image generation - Create visual content

Recommended models:

• GPT Image 2

• Gemini 2.5 Flash Image

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Use cases:

Visual content creation:

• Create illustrations and concept art

• Design graphics for presentations

• Produce social media graphics

• Visualize visual ideas and drafts

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When to choose this category: For creating visual content based on text descriptions, such as supporting presentations, concepts, or social media posts.

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Important note: Starting in August 2026, all AI-generated images will be automatically watermarked to clearly identify them as AI-generated content. Please keep this in mind when using generated images in official documents or publications.

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Voice recording and transcription – convert audio to text

Recommended models:

• Azure Speech – Fast transcription

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Use cases:

Voice input for prompts:

• Dictate your requests directly via microphone instead of typing them

• Recorded speech is automatically converted to text and used directly as prompt context

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Transcription of audio files:

• Convert uploaded audio files into searchable and processable text

• Use the transcribed content directly in the ongoing chat, for example to summarize meetings or interviews

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When to choose this category: Whenever spoken content needs to be converted into text quickly and reliably – whether for convenient voice input in everyday life or for the structured preparation of audio recordings within a chat.

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Decision guide for model selection

Evaluate your task based on the following criteria:

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Task complexity:

• Very simple, no context required: → Category 1 (Everyday tasks without reasoning)

• Simple, with some context understanding: → Category 2 (Everyday tasks with reasoning)

• Medium to complex: Multiple dependencies, analytical components → Category 3 (Business applications)

• Highly demanding: Maximum precision and depth required → Category 4 (Premium applications)

• Visual content: Image generation required → Category 5 (Image generation)

• Spoken content: Speech needs to be converted to text → Category 6 (Voice recording and transcription)

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Subject Area:

• General: Standard text work, simple communication → Category 1 or 2

• Business/analytical: Specialized evaluations and strategies → Category 3

• Highly complex/scientific-technical: Maximum accuracy required → Category 4

• Visual: Creating image material → Category 5

• Auditory: Processing spoken language → Category 6

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Priority:

• Speed and efficiency: Fast results with minimal credit consumption → Category 1

• Balanced: A good compromise between speed and context understanding → Category 2

• Quality over speed: Higher quality for complex queries → Category 3

• Maximum quality: Highest precision regardless of credit consumption → Category 4

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Optimal usage:

• Test different models for similar tasks and compare the results

• For multi-stage projects, combine different models for specific steps in the workflow

• Use the custom instructions feature in chat settings to optimize models for recurring tasks

• If confidentiality is required, use EU-hosted model variants via Google, AWS Bedrock, or Azure

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