Straico's Generative AI Models
Your Comprehensive Guide
Welcome to the Straico AI Model Resource Center — your definitive encyclopedia for navigating our diverse array of generative AI models. Whether you’re spearheading startup ventures, orchestrating powerful marketing narratives, or simply indulging your curiosity in AI, this center equips you with the knowledge to choose the ideal AI tools tailored to your aspirations.
Compare AI Models at a Glance
Our AI Comparison Table presents a straightforward view of key attributes for each model, emphasizing cost, capabilities, and more, to swiftly guide your selection.
| Model Name | Editor's Choice | Max Words (approx) | Coins 🪙 per 100 Words | Type | Features | Capabilities |
|---|---|---|---|---|---|---|
| OpenAI: GPT-4o | 👑 | 96.000 | 4 | Proprietary | 📃Text | 🌐Web browsing |
| Anthropic: Claude 3 .5 Sonnet | 👑 | 150.000 | 5 | Proprietary | 📃Text | - |
| Gryphe: MythoMax L2 | 👑 | 6,000 | 1 | Open Source | 📃Text | - |
| Google: Gemini Pro 1.5 | 👑 | 750.000 | 3 | Proprietary | 📃Text | - |
| OpenAI: GPT-4 Turbo 128K | - | 96,000 | 8 | Proprietary | 📃Text | 🌐Web browsing |
| OpenAI: GPT-4 Turbo 128k - New (April 9) | - | 96.000 | 8 | Proprietary | 📃Text | 🌐Web browsing |
| Mistral: Mixtral 8x7B Instruct | - | 24,576 | 1 | Open Source | 📃Text | - |
| Anthropic: Claude 3 Opus | - | 150,000 | 24 | Proprietary | 📃Text | - |
| Anthropic: Claude 3 Sonnet | - | 150,000 | 5 | Proprietary | 📃Text | - |
| Anthropic: Claude 3 Haiku | - | 150,000 | 1 | Proprietary | 📃Text | - |
| OpenAI: GPT-4o mini | - | 96.000 | 0.4 | Proprietary | 📃Text | 🌐Web browsing |
| OpenAI: GPT-3.5 Turbo 16K | - | 12,000 | 0 | Propietary | 📃Text | 🌐Web browsing |
| OpenAI: GPT-4 | - | 6,000 | 20 | Proprietary | 📃Text | 🌐Web browsing |
| OpenAI: GPT-4 Vision | - | 96,000 | 8 | Proprietary | 📃Text 🖼️Vision | - |
| Cohere: Command R+ | - | 96.000 | 4 | Proprietary | 📃Text | - |
| Dolphin 2.6 Mixtral 8x7B | - | 24,000 | 1 | Open Source | 📃Text | - |
| Meta : Llama 3 8B Instruct | - | 6,000 | 0.5 | Proprietary | 📃Text | - |
| Meta : Llama 3 70B Instruct nitro | - | 6,000 | 1 | Proprietary | 📃Text | - |
| Mistral: Large | - | 24.000 | 8 | Open Source | 📃Text | - |
| Goliath 120B | - | 4,608 | 5 | Open Source | 📃Text | - |
| Perplexity:Llama 3 Sonar 70B Online | - | 21.000 | 1 | Proprietary | 📃Text | - |
| Perplexity:Llama 3 Sonar 8B Online | - | 9.000 | 1 | Proprietary | 📃Text | - |
| Qwen 2 72B Instruct | - | 34.576 | 0.5 | Open Source | 📃Text | - |
* Models marked with a 👑 are our Editor’s Choices, selected for their proven effectiveness in practical use on Straico.
Explore Editor’s Choice LLMs
Browse our Editor’s Choice tabs, a collection born from our team’s extensive efforts to evaluate AI models through empirical use rather than technical specifications. Here, discover the practical merits and constraints each selected model offers. We also provide links to shared chats and prompt templates, allowing you to experience and test their effectiveness firsthand on the Straico platform.
OpenAI: GPT-4 Family
The GPT-4 family, especially its noteworthy member, GPT-4o, represents the latest generational leap in OpenAI‘s development of Generative Pre-trained Transformers. GPT-4 continues the tradition of text-based large language models (LLMs), while GPT-4o expands capabilities to include large multimodal models (LMMs), capable of understanding and generating content across text, images, and other inputs.
Specialities
- Enhanced Context Understanding: GPT-4 exhibits a significantly improved ability to understand and generate human-like text across vast contexts, pushing the boundaries further in AI communication.
- Increased Efficiency: Compared to its predecessors, GPT-4 and especially GPT-4o show efficiency gains in processing and generating content, attributed to their advanced training and model architecture.
Limitations
- Complexity and Resources: The advanced capabilities of GPT-4 and GPT-4o come with the cost of increased computational resources for training and operation.
Anthropic: Claude 3 Family
The Claude 3 model family, spearheaded by Anthropic, encompasses a pioneering suite of large language models (LLMs) released in March 2024. Among its distinguished members, Claude 3.5 Sonnet stands out as the editor’s choice for its remarkable capabilities in processing and understanding natural language, demonstrating unprecedented competence in managing up to 1 million tokens for specialized applications.
Specialities
- Superior Cognitive Abilities: Claude 3.5 Sonnet leads the pack with its advanced cognitive performance, excelling in complex reasoning, creative content generation, and nuanced analytical tasks.
- Extended Contextual Understanding: Offers the ability to handle extensive context lengths, enriching conversations and analyses.
Limitations
- Higher Resource Usage: The model’s sophisticated capabilities may necessitate substantial computing resources.
Gryphe: Mythomax L2 13B 8K
Mythomax L2 13B 8k is a cutting-edge large language model (LLM) developed by Gryphe, designed to deliver exceptional performance with 13 billion parameters and an 8,000-token context length. It is specifically engineered for high-complexity NLP tasks, offering superior language comprehension and generation capabilities.
Specialities
- High Parameter Count: With 13 billion parameters, Mythomax L2 13B 8k ensures detailed and nuanced text generation.
- Extended Context Length: The 8,000-token context length allows for more coherent and contextually aware responses over long pieces of text.
- Specialized Capabilities: Excels in tasks requiring deep language understanding and generation, making it suitable for professional and creative applications (for example, role playing and story telling).
Limitations
- Specialized Knowledge Needs: Optimal usage may require advanced understanding of NLP and model tuning.
Google: Gemini Pro 1.5
Gemini Pro 1.5 is a state-of-the-art multimodal large language model (LLM) developed by Google DeepMind. This innovative model is designed to process a wide range of data types, including text, images, audio, and video, and boasts an unprecedented context window of up to 1 million tokens, scalable to 2 million tokens for certain users.
Specialities
- Enhanced Multimodal Capabilities: Able to integrate and reason across various data types.
- Large Context Windows: Can handle up to 2 million tokens, surpassing most other LLMs.
- Efficient Architecture: Uses a mixture-of-experts (MoE) approach for more computational efficiency.
- Versatility: Applicable to a broad range of tasks, from text summarization to code analysis and multimedia content understanding.
Limitations
- Token Cost: The larger context window comes at a heightened computational cost.
- Potential for Hallucinations: Despite improvements, can still generate erroneous or fabricated information.
- Accessibility: The most advanced features are primarily available via a waitlist in Google AI Studio and Vertex AI.
Understanding Costs and Interactions
‘Max Words’ refers to the maximum number of words that can be processed by an AI model in a single interaction. This limit includes all chat input, chat output, and the content from any attachments used during the interaction.
The total cost for an interaction in coins is determined by the combined word count of the chat input, chat output, and any included attachment content. The ‘Coins 🪙 per 100 words’ rate specific to the selected AI model will apply.
When attachments are used, the total word count includes all text from the attachments—whether files or URLs —along with the whole conversation in the chat thus far, plus the new message and AI’s anticipated response.
Various attachment types such as .docx, .txt, .pptx, .xlsx, .pdf files, YouTube video URLs, and web pages can be included. Each contributes to the overall word count that the AI model processes, which in turn affects coin cost.
Yes, there are several strategies for cost-effective interactions. Starting new chat sessions can reduce word count by clearing previous context. For those seeking value, Straico provides models like Gemini Pro in the proprietary realm and Mixtral 8x7B in the open-source domain, both at an economical rate of 1 coin per 100 words. 💎
Furthermore, Straico offers GPT 3.5 Turbo, which remains free of charge, allowing unlimited interactions without impacting your coin balance.
Certainly! Pricing for image generation on Straico varies depending on the size of the image and the AI model chosen. When generating images with DALL·E 3 via our chat assistant, the coin cost is approximately 20 coins for smaller, 1024×140 pixel images and 50 coins for 1792×1024 or 1024×1792.
For those opting to use Stable Diffusion in our dedicated image generation section, we offer straightforward pricing—regardless of the image size, each creation is just 20 coins.
With both models delivering impeccable quality, you can choose the best option that matches your requirements and budget.
‘Image input capability’ refers to the ability of an AI model to accept and interpret visual information. For instance, with our GPT-4 Vision model, you can upload an image directly into the chat assistant and ask queries about its content, just as readily as if you were discussing text. This means the model can analyze the image and engage in a detailed dialogue about what it depicts.
‘Real-time capabilities’ denote the model’s prowess in leveraging the latest information available up until the moment of interaction. This is exemplified by our Perplexity 70B online (PPLX 70B), which can pull in the most recent data to enrich its responses, ensuring you’re receiving the most up-to-date content possible. This feature is invaluable for tasks requiring current knowledge and insights.
