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LLM & Models AI Tools

Discover the most powerful large language models and AI models available. Compare capabilities, pricing and use cases for top AI models.

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LLM & Models Tools
Phi-3 Free
LLM & Models
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.
Mixtral 8x22B Freemium
LLM & Models
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.
Command R+ Paid
LLM & Models
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.
Jamba Freemium
LLM & Models
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.
Yi Models Freemium
LLM & Models
Yi is a family of large language models from 01.AI founded by Kai-Fu Lee, offering strong bilingual Chinese-English performance. Yi-34B and Yi-large achieve competitive performance with frontier models on reasoning and knowledge benchmarks. Yi models are available as open-source weights for research and commercial deployment. The Yi-VL vision-language model adds image understanding capabilities. Used by researchers and enterprises in Asia and globally for applications requiring strong Chinese language capabilities alongside English proficiency.
Falcon Free
LLM & Models
Falcon is a family of open-source large language models developed by the Technology Innovation Institute (TII) in Abu Dhabi. Falcon 180B was the world's largest open-source model at launch and achieves performance competitive with proprietary models. Falcon models are trained on the RefinedWeb dataset and released under permissive licences for commercial use. Falcon 2 adds multimodal vision capabilities. Used by researchers and enterprises requiring powerful open-source models with Middle Eastern institutional backing and no usage restrictions.
Vicuna Free
LLM & Models
Vicuna is an open-source chatbot fine-tuned from Llama using user-shared conversations from ShareGPT. Developed by researchers at UC Berkeley, CMU, Stanford, and UCSD, Vicuna 13B achieved 90% of ChatGPT quality in early evaluations at a fraction of the cost. It pioneered the approach of fine-tuning open-source base models on human conversation data to create capable chat assistants. Vicuna's methodology influenced subsequent open-source chat model development and remains an important reference in the open LLM ecosystem.
SOLAR Freemium
LLM & Models
SOLAR 10.7B is a compact yet powerful language model from Upstage AI that achieves performance surpassing Llama 2 70B and Mistral 7B despite its smaller size through depth up-scaling, a novel model construction technique. SOLAR is commercially available and achieves state-of-the-art performance among sub-11B parameter models. Upstage's Document AI products are built on SOLAR technology. Used by developers and enterprises needing high-performance language models that can run on modest hardware without sacrificing quality compared to much larger models.
Nous Hermes Free
LLM & Models
Nous Hermes is a series of fine-tuned language models by Nous Research that consistently rank among the top performers on open LLM leaderboards. Built on Llama and Mistral base models, Hermes models are fine-tuned on high-quality instruction datasets emphasising reasoning, code generation, and structured output following. Nous Hermes 2 Pro adds function calling and structured JSON output capabilities. Popular in the open-source AI community for applications requiring reliable instruction following and reasoning without proprietary model dependencies.
OpenHermes Free
LLM & Models
OpenHermes is a series of high-quality fine-tuned language models from Teknium and the open-source AI community built on Mistral and Llama base models. OpenHermes 2.5 Mistral 7B is one of the most downloaded models on HuggingFace, achieving remarkable instruction following, coding, and reasoning performance for its size. Trained entirely on synthetic and curated open-source datasets, OpenHermes demonstrates that high-quality training data matters more than model scale for many tasks. Widely used for local AI applications and edge deployment.
StableLM Free
LLM & Models
StableLM is Stability AI's family of open-source language models ranging from 1.6B to 12B parameters designed for efficient local deployment. StableLM 2 12B achieves strong performance relative to its size and runs well on consumer hardware. The models are trained on diverse, high-quality datasets and released under permissive licences. Stability AI's focus on smaller, efficient models makes StableLM particularly useful for on-device applications, edge AI deployment, and scenarios where inference cost and latency are primary constraints.
Code Llama Free
LLM & Models
Code Llama is Meta's specialised code generation model fine-tuned from Llama 2 on code-heavy datasets. Available in 7B, 13B, 34B, and 70B sizes with specialised variants for Python and instruction-following. Code Llama achieves state-of-the-art performance on HumanEval and MBPP coding benchmarks among open-source models. It supports infilling for code completion within existing code. Used by developers building local code assistants, IDE plugins, and coding tools who want powerful code generation without API costs or code privacy concerns.
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