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To get started, navigate to the AI Models section in your dashboard.

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What you can do on the dashboard:

  • Use the search field to find a specific model for your needs.
  • Browse a list of models, each with a detailed description, developer information, and capability type
Model NameDeveloperDescription
deepseek-ai/DeepSeek-R1-0528DeepseekEnhanced model with improved reasoning, inference, and algorithmic post-training optimizations; designed for high-accuracy tasks.
Apertus-70B-Instruct-2509Swiss AILarge instruction-tuned model for complex reasoning and multi-turn conversations.
meta-llama/Llama-4-Maverick-17B-128E-Instruct-FP8Meta AIMultimodal instruction-tuned model leveraging a mixture-of-experts (MoE) architecture for top-tier performance in both text and image understanding.
gpt-oss-120bOpen AIOpen-weight 117B parameter Mixture-of-Experts model supporting 128k context, advanced reasoning via chain-of-thought, optimized for real-world tool use, coding, and efficient local or cloud deployment.
Intel/Qwen3-Coder-480B-A35B-Instruct-int4-mixed-arQwenHigh-capacity, instruction-tuned code generation model optimized with INT4 mixed-precision for fast inference, designed for complex programming tasks on Intel hardware.
Qwen3-Next-80B-A3B-InstructQwenHigh-capacity model optimized for instruction following and knowledge-intensive tasks.
gpt-oss-20bOpen AIOpen-source GPT-style model suitable for text generation and general-purpose tasks.
Qwen3-235B-A22B-Thinking-2507QwenPowerful 235B-parameter language model optimized for deep reasoning, planning, and complex multi-step tasks.
Mistral-Nemo-Instruct-2407Mistral AIInstruction-tuned model focusing on efficient reasoning and NLP tasks.
mistralai/Magistral-Small-2506Mistral AILightweight model optimized for chat, reasoning, and tool use in smaller deployment environments.
mistralai/Devstral-Small-2505Mistral AIDeveloper-focused compact model designed for fast and accurate code completions and debugging tasks.
K2-ThinkLLM360Lightweight model designed for fast inference and practical thinking applications.
meta-llama/Llama-3.3-70B-InstructMeta AILarge-scale transformer model fine-tuned for instruction-following, aligning responses with human preferences.
mistralai/Mistral-Large-Instruct-2411Mistral AILarge instruction-tuned model offering strong general-purpose reasoning, summarization, and assistant-style responses.
Qwen/Qwen2.5-VL-32B-InstructQwenPowerful vision-language model trained to follow multimodal instructions, suitable for image understanding, captioning, and reasoning.
meta-llama/Llama-3.2-90B-Vision-InstructMeta AIVision-language model with instruction tuning, capable of image analysis, visual Q&A, and multimodal dialogue generation.
BAAI/bge-multilingual-gemma2BAAIMultilingual embedding model optimized for semantic search and retrieval tasks across diverse languages.
For a full list of models, visit the AI Models section in your dashboard.

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Testing AI Model

Before using any of our AI models in your project, you can perform real-time testing directly from the dashboard. This allows you to evaluate the model’s performance and ensure it meets your requirements.

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How to Test an AI Model

  1. Select a Model:
    • Navigate to the AI Models dashboard.
    • Select the model you want to test by clicking on it.
  2. Start Testing:
    • On the AI model chat page, type your question or input into the centered text field.
    • Click the arrow icon to submit your query.
      Note: Below the request field, you can see the Used Free Token value and the Available Free Token balance. For more details on Free Tokens for specific AI models, visit our API Reference page.
  3. Interact with the Model:
    • The AI model will respond, starting a conversation. You can continue testing by asking additional questions or providing more input.
    • Compare different models to find the one that best suits your needs.

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Managing Chats

  • View Previous Chats:
    • On the right-hand side, you can manage your previously created chats with different AI models.
    • Click on any chat to dive deeper into the conversation.
  • Create or Remove Chats:
    • Create a new chat by clicking the Start New Chat button.
    • Remove unnecessary chats to keep your workspace organized.

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Switching Between Models

  • Next to the Start New Chat button, you’ll find a dropdown menu with the currently selected model.
  • Click the dropdown to switch to a different AI model and start a new conversation with it.
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