LLM & Models Tools
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GPT-4o
Freemium
GPT-4o is OpenAI's flagship multimodal model that processes text, images, audio, and video in a single unified architecture. It delivers GPT-4 level intelligence with significantly faster response times and lower cost. GPT-4o's real-time audio capabilities enable natural voice conversations with emotional awareness. It handles complex reasoning, coding, mathematics, and creative tasks with state-of-the-art performance. Available via ChatGPT and the OpenAI API, GPT-4o is the most widely deployed frontier AI model globally.
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Claude 3.5 Sonnet
Freemium
Claude 3.5 Sonnet by Anthropic is a frontier AI model that achieves top-tier performance on coding, reasoning, and analysis benchmarks while maintaining fast inference speeds suitable for production applications. It features a 200K token context window for processing entire codebases and long documents, computer use capabilities for autonomous computer interaction, and strong performance on agentic tasks. Claude 3.5 Sonnet is widely regarded for its nuanced writing, careful reasoning, and ability to follow complex instructions reliably.
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Gemini 1.5 Pro
Freemium
Gemini 1.5 Pro by Google DeepMind is a multimodal model with a breakthrough 1 million token context window for processing entire books, hour-long videos, and massive codebases in a single prompt. It achieves near-perfect recall across its long context and handles text, images, audio, video, and code inputs natively. Gemini 1.5 Pro excels at complex reasoning, document analysis, and multimodal understanding tasks that exceed the capabilities of models with shorter context windows.
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Llama 3
Free
Llama 3 is Meta's most capable open-source language model family, available in 8B, 70B, and 405B parameter sizes. Llama 3 405B achieves performance competitive with GPT-4 on many benchmarks while being freely downloadable and commercially usable. The model excels at instruction following, coding, reasoning, and multilingual tasks. Llama 3's open release has enabled thousands of fine-tuned variants and applications across research, enterprise, and consumer products globally.
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Mistral Large
Paid
Mistral Large is the flagship model from Mistral AI achieving top-tier reasoning, coding, mathematics, and multilingual performance. It supports a 128K context window and excels at complex multi-step reasoning tasks. Mistral Large is available via the Mistral API and competes directly with GPT-4 and Claude on enterprise benchmarks. Its European training and GDPR-compliant hosting make it the preferred frontier model for European enterprises requiring data sovereignty alongside state-of-the-art AI capabilities.
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DeepSeek R1
Freemium
DeepSeek R1 is a frontier reasoning model from Chinese AI lab DeepSeek that matches OpenAI o1 performance on mathematics, coding, and scientific reasoning benchmarks at a fraction of the training cost. Released as fully open-source with MIT licence, R1 caused significant impact on AI industry valuations in early 2025. The model uses chain-of-thought reasoning and reinforcement learning to solve complex problems step by step. Available for self-hosting or via DeepSeek API with competitive pricing.
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Qwen 2.5 72B
Free
Qwen 2.5 72B is Alibaba Cloud's most capable open-source language model achieving frontier performance across coding, mathematics, reasoning, and multilingual tasks. It supports a 128K context window and excels particularly at Chinese and Asian language tasks alongside strong English performance. Qwen 2.5 72B instruction-tuned variants are available on HuggingFace for self-hosting. The model consistently ranks among the top open-source models on major benchmarks including MMLU, HumanEval, and GSM8K.
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Gemma 2 27B
Free
Gemma 2 27B is Google DeepMind's most powerful open-source model in the Gemma family, achieving performance competitive with models twice its size through architectural innovations including grouped-query attention and knowledge distillation from larger models. Available under a permissive commercial licence on HuggingFace and Kaggle. Gemma 2 27B outperforms Llama 3 8B and many 70B models on key benchmarks making it the most efficient open-source model for its parameter count.
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Phi-3
Free
Phi-3 is Microsoft's family of small language models achieving remarkable performance relative to their size through high-quality synthetic training data. Phi-3 Mini with 3.8B parameters outperforms Llama 3 8B on many benchmarks while running efficiently on mobile devices and edge hardware. The Phi-3 family includes Mini, Small, and Medium variants with context windows up to 128K tokens. Ideal for on-device AI applications, mobile AI features, and scenarios where model size and inference cost are critical constraints.
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Mixtral 8x22B
Freemium
Mixtral 8x22B is Mistral AI's largest open-source mixture-of-experts model with 141B total parameters but only 39B active per token, achieving strong performance with efficient inference. It excels at coding, mathematics, and multilingual tasks with a 64K context window. Mixtral 8x22B is available for self-hosting and via the Mistral API. The MoE architecture makes it significantly faster than dense models of comparable capability, offering an excellent balance of performance and inference efficiency for production deployments.
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Command R+
Paid
Command R+ is Cohere's most capable language model optimised for enterprise RAG applications, tool use, and multi-step agentic tasks. It achieves top performance on retrieval-augmented generation benchmarks and supports 10 languages for multilingual enterprise applications. Command R+ features advanced tool calling for building AI agents that interact with external systems. Available via Cohere API and for private deployment on AWS, Azure, GCP, and on-premise infrastructure for enterprise data sovereignty requirements.
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Jamba
Freemium
Jamba is AI21 Labs' hybrid Mamba-Transformer language model combining the efficiency of state space models with the capability of transformers. It achieves a 256K context window with significantly lower memory requirements than pure transformer models of similar size. Jamba excels at long-document processing, summarisation, and tasks requiring extended context retention. The hybrid architecture makes it particularly efficient for processing very long contexts that would be prohibitively expensive with standard transformer models.
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