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Meta Llama 3 is Meta’s third-generation open-weight large language model family, released in April 2024 and enhanced in July 2024 with the 3.1 update. It spans three sizes—8B, 70B, and 405B parameters—each offering a 128K‑token context window. Llama 3 excels at reasoning, code generation, multilingual text, and instruction-following, and introduces multimodal vision (image understanding) capabilities in its 3.2 series. Robust safety mechanisms like Llama Guard 3, Code Shield, and CyberSec Eval 2 ensure responsible output.


Meta Llama 3 is Meta’s third-generation open-weight large language model family, released in April 2024 and enhanced in July 2024 with the 3.1 update. It spans three sizes—8B, 70B, and 405B parameters—each offering a 128K‑token context window. Llama 3 excels at reasoning, code generation, multilingual text, and instruction-following, and introduces multimodal vision (image understanding) capabilities in its 3.2 series. Robust safety mechanisms like Llama Guard 3, Code Shield, and CyberSec Eval 2 ensure responsible output.


Meta Llama 3 is Meta’s third-generation open-weight large language model family, released in April 2024 and enhanced in July 2024 with the 3.1 update. It spans three sizes—8B, 70B, and 405B parameters—each offering a 128K‑token context window. Llama 3 excels at reasoning, code generation, multilingual text, and instruction-following, and introduces multimodal vision (image understanding) capabilities in its 3.2 series. Robust safety mechanisms like Llama Guard 3, Code Shield, and CyberSec Eval 2 ensure responsible output.


DeepSeek V3 is the latest flagship Mixture‑of‑Experts (MoE) open‑source AI model from DeepSeek. It features 671 billion total parameters (with ~37 billion activated per token), supports up to 128K context length, and excels across reasoning, code generation, language, and multimodal tasks. On standard benchmarks, it rivals or exceeds proprietary models—including GPT‑4o and Claude 3.5—as a high-performance, cost-efficient alternative.


DeepSeek V3 is the latest flagship Mixture‑of‑Experts (MoE) open‑source AI model from DeepSeek. It features 671 billion total parameters (with ~37 billion activated per token), supports up to 128K context length, and excels across reasoning, code generation, language, and multimodal tasks. On standard benchmarks, it rivals or exceeds proprietary models—including GPT‑4o and Claude 3.5—as a high-performance, cost-efficient alternative.


DeepSeek V3 is the latest flagship Mixture‑of‑Experts (MoE) open‑source AI model from DeepSeek. It features 671 billion total parameters (with ~37 billion activated per token), supports up to 128K context length, and excels across reasoning, code generation, language, and multimodal tasks. On standard benchmarks, it rivals or exceeds proprietary models—including GPT‑4o and Claude 3.5—as a high-performance, cost-efficient alternative.


DeepSeek V3 (0324) is the latest open-source Mixture-of-Experts (MoE) language model from DeepSeek, featuring 671B parameters (37B active per token). Released in March 2025 under the MIT license, it builds on DeepSeek V3 with major enhancements in reasoning, coding, front-end generation, and Chinese proficiency. It maintains cost-efficiency and function-calling support.


DeepSeek V3 (0324) is the latest open-source Mixture-of-Experts (MoE) language model from DeepSeek, featuring 671B parameters (37B active per token). Released in March 2025 under the MIT license, it builds on DeepSeek V3 with major enhancements in reasoning, coding, front-end generation, and Chinese proficiency. It maintains cost-efficiency and function-calling support.


DeepSeek V3 (0324) is the latest open-source Mixture-of-Experts (MoE) language model from DeepSeek, featuring 671B parameters (37B active per token). Released in March 2025 under the MIT license, it builds on DeepSeek V3 with major enhancements in reasoning, coding, front-end generation, and Chinese proficiency. It maintains cost-efficiency and function-calling support.


Grok 2 is xAI’s second-generation chatbot model, launched in August 2024 as a substantial upgrade over Grok 1.5. It delivers frontier-level performance in chat, coding, reasoning, vision tasks, and image generation via the FLUX.1 system. On leaderboards, it outscored Claude 3.5 Sonnet and GPT‑4 Turbo, with strong results in GPQA (56%), MMLU (87.5%), MATH (76.1%), HumanEval (88.4%), MathVista, and DocVQA benchmarks.


Grok 2 is xAI’s second-generation chatbot model, launched in August 2024 as a substantial upgrade over Grok 1.5. It delivers frontier-level performance in chat, coding, reasoning, vision tasks, and image generation via the FLUX.1 system. On leaderboards, it outscored Claude 3.5 Sonnet and GPT‑4 Turbo, with strong results in GPQA (56%), MMLU (87.5%), MATH (76.1%), HumanEval (88.4%), MathVista, and DocVQA benchmarks.


Grok 2 is xAI’s second-generation chatbot model, launched in August 2024 as a substantial upgrade over Grok 1.5. It delivers frontier-level performance in chat, coding, reasoning, vision tasks, and image generation via the FLUX.1 system. On leaderboards, it outscored Claude 3.5 Sonnet and GPT‑4 Turbo, with strong results in GPQA (56%), MMLU (87.5%), MATH (76.1%), HumanEval (88.4%), MathVista, and DocVQA benchmarks.


Llama 3.1 is Meta’s most advanced open-source Llama 3 model, released on July 23, 2024. It comes in three sizes—8B, 70B, and 405B parameters—with an expanded 128K-token context window and improved multilingual and multimodal capabilities. It significantly outperforms Llama 3 and rivals proprietary models across benchmarks like GSM8K, MMLU, HumanEval, ARC, and tool-augmented reasoning tasks.


Llama 3.1 is Meta’s most advanced open-source Llama 3 model, released on July 23, 2024. It comes in three sizes—8B, 70B, and 405B parameters—with an expanded 128K-token context window and improved multilingual and multimodal capabilities. It significantly outperforms Llama 3 and rivals proprietary models across benchmarks like GSM8K, MMLU, HumanEval, ARC, and tool-augmented reasoning tasks.


Llama 3.1 is Meta’s most advanced open-source Llama 3 model, released on July 23, 2024. It comes in three sizes—8B, 70B, and 405B parameters—with an expanded 128K-token context window and improved multilingual and multimodal capabilities. It significantly outperforms Llama 3 and rivals proprietary models across benchmarks like GSM8K, MMLU, HumanEval, ARC, and tool-augmented reasoning tasks.


Llama 3.3 is Meta’s instruction-tuned, text-only large language model released on December 6, 2024, available in a 70B-parameter size. It matches the performance of much larger models using significantly fewer parameters, is multilingual across eight key languages, and supports a massive 128,000-token context window—ideal for handling long-form documents, codebases, and detailed reasoning tasks.


Llama 3.3 is Meta’s instruction-tuned, text-only large language model released on December 6, 2024, available in a 70B-parameter size. It matches the performance of much larger models using significantly fewer parameters, is multilingual across eight key languages, and supports a massive 128,000-token context window—ideal for handling long-form documents, codebases, and detailed reasoning tasks.


Llama 3.3 is Meta’s instruction-tuned, text-only large language model released on December 6, 2024, available in a 70B-parameter size. It matches the performance of much larger models using significantly fewer parameters, is multilingual across eight key languages, and supports a massive 128,000-token context window—ideal for handling long-form documents, codebases, and detailed reasoning tasks.

Mistral Medium 3 is Mistral AI’s new frontier-class multimodal dense model, released May 7, 2025, designed for enterprise use. It delivers state-of-the-art performance—matching or exceeding 90 % of models like Claude Sonnet 3.7—while costing 8× less and offering simplified deployment for coding, STEM reasoning, vision understanding, and long-context workflows up to 128 K tokens.

Mistral Medium 3 is Mistral AI’s new frontier-class multimodal dense model, released May 7, 2025, designed for enterprise use. It delivers state-of-the-art performance—matching or exceeding 90 % of models like Claude Sonnet 3.7—while costing 8× less and offering simplified deployment for coding, STEM reasoning, vision understanding, and long-context workflows up to 128 K tokens.

Mistral Medium 3 is Mistral AI’s new frontier-class multimodal dense model, released May 7, 2025, designed for enterprise use. It delivers state-of-the-art performance—matching or exceeding 90 % of models like Claude Sonnet 3.7—while costing 8× less and offering simplified deployment for coding, STEM reasoning, vision understanding, and long-context workflows up to 128 K tokens.

Mistral Small 3.1 is the March 17, 2025 update to Mistral AI's open-source 24B-parameter small model. It offers instruction-following, multimodal vision understanding, and an expanded 128K-token context window, delivering performance on par with or better than GPT‑4o Mini, Gemma 3, and Claude 3.5 Haiku—all while maintaining fast inference speeds (~150 tokens/sec) and running on devices like an RTX 4090 or a 32 GB Mac.

Mistral Small 3.1 is the March 17, 2025 update to Mistral AI's open-source 24B-parameter small model. It offers instruction-following, multimodal vision understanding, and an expanded 128K-token context window, delivering performance on par with or better than GPT‑4o Mini, Gemma 3, and Claude 3.5 Haiku—all while maintaining fast inference speeds (~150 tokens/sec) and running on devices like an RTX 4090 or a 32 GB Mac.

Mistral Small 3.1 is the March 17, 2025 update to Mistral AI's open-source 24B-parameter small model. It offers instruction-following, multimodal vision understanding, and an expanded 128K-token context window, delivering performance on par with or better than GPT‑4o Mini, Gemma 3, and Claude 3.5 Haiku—all while maintaining fast inference speeds (~150 tokens/sec) and running on devices like an RTX 4090 or a 32 GB Mac.

Qwen Chat is Alibaba Cloud’s conversational AI assistant built on the Qwen series (e.g., Qwen‑7B‑Chat, Qwen1.5‑7B‑Chat, Qwen‑VL, Qwen‑Audio, and Qwen2.5‑Omni). It supports text, vision, audio, and video understanding, plus image and document processing, web search integration, and image generation—all through a unified chat interface.

Qwen Chat is Alibaba Cloud’s conversational AI assistant built on the Qwen series (e.g., Qwen‑7B‑Chat, Qwen1.5‑7B‑Chat, Qwen‑VL, Qwen‑Audio, and Qwen2.5‑Omni). It supports text, vision, audio, and video understanding, plus image and document processing, web search integration, and image generation—all through a unified chat interface.

Qwen Chat is Alibaba Cloud’s conversational AI assistant built on the Qwen series (e.g., Qwen‑7B‑Chat, Qwen1.5‑7B‑Chat, Qwen‑VL, Qwen‑Audio, and Qwen2.5‑Omni). It supports text, vision, audio, and video understanding, plus image and document processing, web search integration, and image generation—all through a unified chat interface.


DeepClaude is a high-performance, open-source platform that combines DeepSeek R1’s chain-of-thought reasoning with Claude 3.5 Sonnet’s creative and code-generation capabilities. It offers zero-latency streaming responses via a Rust-based API and supports self-hosted or managed deployment.


DeepClaude is a high-performance, open-source platform that combines DeepSeek R1’s chain-of-thought reasoning with Claude 3.5 Sonnet’s creative and code-generation capabilities. It offers zero-latency streaming responses via a Rust-based API and supports self-hosted or managed deployment.


DeepClaude is a high-performance, open-source platform that combines DeepSeek R1’s chain-of-thought reasoning with Claude 3.5 Sonnet’s creative and code-generation capabilities. It offers zero-latency streaming responses via a Rust-based API and supports self-hosted or managed deployment.

"Thinking-Claude" is an innovative approach or methodology for interacting with the Claude AI. It emphasizes encouraging and revealing Claude's comprehensive thinking process and detailed inner monologue during everyday tasks and conversations. It's not a separate software tool or a new AI model, but rather a specific way of engaging with the existing Claude AI to gain deeper insights into its reasoning.

"Thinking-Claude" is an innovative approach or methodology for interacting with the Claude AI. It emphasizes encouraging and revealing Claude's comprehensive thinking process and detailed inner monologue during everyday tasks and conversations. It's not a separate software tool or a new AI model, but rather a specific way of engaging with the existing Claude AI to gain deeper insights into its reasoning.

"Thinking-Claude" is an innovative approach or methodology for interacting with the Claude AI. It emphasizes encouraging and revealing Claude's comprehensive thinking process and detailed inner monologue during everyday tasks and conversations. It's not a separate software tool or a new AI model, but rather a specific way of engaging with the existing Claude AI to gain deeper insights into its reasoning.

ChatBetter is an AI platform designed to unify access to all major large language models (LLMs) within a single chat interface. Built for productivity and accuracy, ChatBetter leverages automatic model selection to route every query to the most capable AI—eliminating guesswork about which model to use. Users can directly compare responses from OpenAI, Anthropic, Google, Meta, DeepSeek, Perplexity, Mistral, xAI, and Cohere models side by side, or merge answers for comprehensive insights. The system is crafted for teams and individuals alike, enabling complex research, planning, and writing tasks to be accomplished efficiently in one place.

ChatBetter is an AI platform designed to unify access to all major large language models (LLMs) within a single chat interface. Built for productivity and accuracy, ChatBetter leverages automatic model selection to route every query to the most capable AI—eliminating guesswork about which model to use. Users can directly compare responses from OpenAI, Anthropic, Google, Meta, DeepSeek, Perplexity, Mistral, xAI, and Cohere models side by side, or merge answers for comprehensive insights. The system is crafted for teams and individuals alike, enabling complex research, planning, and writing tasks to be accomplished efficiently in one place.

ChatBetter is an AI platform designed to unify access to all major large language models (LLMs) within a single chat interface. Built for productivity and accuracy, ChatBetter leverages automatic model selection to route every query to the most capable AI—eliminating guesswork about which model to use. Users can directly compare responses from OpenAI, Anthropic, Google, Meta, DeepSeek, Perplexity, Mistral, xAI, and Cohere models side by side, or merge answers for comprehensive insights. The system is crafted for teams and individuals alike, enabling complex research, planning, and writing tasks to be accomplished efficiently in one place.
This page was researched and written by the ATB Editorial Team. Our team researches each AI tool by reviewing its official website, testing features, exploring real use cases, and considering user feedback. Every page is fact-checked and regularly updated to ensure the information stays accurate, neutral, and useful for our readers.
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