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$100/month
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OpenAI DALL·E 3 is an advanced AI image generation model that creates highly detailed and realistic images from text prompts. It builds upon previous versions by offering better composition, improved understanding of complex prompts, and seamless integration with ChatGPT. DALL·E 3 is designed for artists, designers, marketers, and content creators who want high-quality AI-generated visuals.
OpenAI DALL·E 3 is an advanced AI image generation model that creates highly detailed and realistic images from text prompts. It builds upon previous versions by offering better composition, improved understanding of complex prompts, and seamless integration with ChatGPT. DALL·E 3 is designed for artists, designers, marketers, and content creators who want high-quality AI-generated visuals.
OpenAI DALL·E 3 is an advanced AI image generation model that creates highly detailed and realistic images from text prompts. It builds upon previous versions by offering better composition, improved understanding of complex prompts, and seamless integration with ChatGPT. DALL·E 3 is designed for artists, designers, marketers, and content creators who want high-quality AI-generated visuals.
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.
Grok 3 Fast is xAI’s low-latency variant of their flagship Grok 3 model. It delivers identical output quality but responds faster by leveraging optimized serving infrastructure—ideal for real-time, speed-sensitive applications. It inherits the same multimodal, reasoning, and chain-of-thought capabilities as Grok 3, with a large context window of ~131K tokens.
Grok 3 Fast is xAI’s low-latency variant of their flagship Grok 3 model. It delivers identical output quality but responds faster by leveraging optimized serving infrastructure—ideal for real-time, speed-sensitive applications. It inherits the same multimodal, reasoning, and chain-of-thought capabilities as Grok 3, with a large context window of ~131K tokens.
Grok 3 Fast is xAI’s low-latency variant of their flagship Grok 3 model. It delivers identical output quality but responds faster by leveraging optimized serving infrastructure—ideal for real-time, speed-sensitive applications. It inherits the same multimodal, reasoning, and chain-of-thought capabilities as Grok 3, with a large context window of ~131K tokens.
Grok 3 Mini is xAI’s compact, cost-efficient reasoning variant of the flagship Grok 3 model. Released alongside Grok 3 in February 2025, it offers many of the same advanced reasoning capabilities—like chain-of-thought “Think” mode and multimodal support—with lower compute and faster responses. It's ideal for logic-heavy tasks that don't require the depth of the full version.
Grok 3 Mini is xAI’s compact, cost-efficient reasoning variant of the flagship Grok 3 model. Released alongside Grok 3 in February 2025, it offers many of the same advanced reasoning capabilities—like chain-of-thought “Think” mode and multimodal support—with lower compute and faster responses. It's ideal for logic-heavy tasks that don't require the depth of the full version.
Grok 3 Mini is xAI’s compact, cost-efficient reasoning variant of the flagship Grok 3 model. Released alongside Grok 3 in February 2025, it offers many of the same advanced reasoning capabilities—like chain-of-thought “Think” mode and multimodal support—with lower compute and faster responses. It's ideal for logic-heavy tasks that don't require the depth of the full version.
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 3.2 is Meta’s multimodal and lightweight update to its Llama 3 line, released on September 25, 2024. The family includes 1B and 3B text-only models optimized for edge devices, as well as 11B and 90B Vision models capable of image understanding. It offers a 128K-token context window, Grouped-Query Attention for efficient inference, and opens up on-device, private AI with strong multilingual (e.g. Hindi, Spanish) support.
Llama 3.2 is Meta’s multimodal and lightweight update to its Llama 3 line, released on September 25, 2024. The family includes 1B and 3B text-only models optimized for edge devices, as well as 11B and 90B Vision models capable of image understanding. It offers a 128K-token context window, Grouped-Query Attention for efficient inference, and opens up on-device, private AI with strong multilingual (e.g. Hindi, Spanish) support.
Llama 3.2 is Meta’s multimodal and lightweight update to its Llama 3 line, released on September 25, 2024. The family includes 1B and 3B text-only models optimized for edge devices, as well as 11B and 90B Vision models capable of image understanding. It offers a 128K-token context window, Grouped-Query Attention for efficient inference, and opens up on-device, private AI with strong multilingual (e.g. Hindi, Spanish) support.
DeepSeek R1 Distill refers to a family of dense, smaller models distilled from DeepSeek’s flagship DeepSeek R1 reasoning model. Released early 2025, these models come in sizes ranging from 1.5B to 70B parameters (e.g., DeepSeek‑R1‑Distill‑Qwen‑32B) and retain powerful reasoning and chain-of-thought abilities in a more efficient architecture. Benchmarks show distilled variants outperform models like OpenAI’s o1‑mini, while remaining open‑source under MIT license.
DeepSeek R1 Distill refers to a family of dense, smaller models distilled from DeepSeek’s flagship DeepSeek R1 reasoning model. Released early 2025, these models come in sizes ranging from 1.5B to 70B parameters (e.g., DeepSeek‑R1‑Distill‑Qwen‑32B) and retain powerful reasoning and chain-of-thought abilities in a more efficient architecture. Benchmarks show distilled variants outperform models like OpenAI’s o1‑mini, while remaining open‑source under MIT license.
DeepSeek R1 Distill refers to a family of dense, smaller models distilled from DeepSeek’s flagship DeepSeek R1 reasoning model. Released early 2025, these models come in sizes ranging from 1.5B to 70B parameters (e.g., DeepSeek‑R1‑Distill‑Qwen‑32B) and retain powerful reasoning and chain-of-thought abilities in a more efficient architecture. Benchmarks show distilled variants outperform models like OpenAI’s o1‑mini, while remaining open‑source under MIT license.
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.
"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.
Claude Opus 4.1 is the latest upgrade of Anthropic’s AI model Claude Opus 4, enhancing agentic tasks, coding, and reasoning capabilities. This version improves state-of-the-art coding performance, achieving 74.5% on SWE-bench Verified and excels in detailed research, data analysis, and multi-file code refactoring. It is optimized for precise bug fixes without unnecessary changes and is designed to boost productivity for developers and researchers. Claude Opus 4.1 is available via API and integrated into platforms like Amazon Bedrock and Google Cloud’s Vertex AI, offering advanced AI solutions with consistent pricing from the previous model.
Claude Opus 4.1 is the latest upgrade of Anthropic’s AI model Claude Opus 4, enhancing agentic tasks, coding, and reasoning capabilities. This version improves state-of-the-art coding performance, achieving 74.5% on SWE-bench Verified and excels in detailed research, data analysis, and multi-file code refactoring. It is optimized for precise bug fixes without unnecessary changes and is designed to boost productivity for developers and researchers. Claude Opus 4.1 is available via API and integrated into platforms like Amazon Bedrock and Google Cloud’s Vertex AI, offering advanced AI solutions with consistent pricing from the previous model.
Claude Opus 4.1 is the latest upgrade of Anthropic’s AI model Claude Opus 4, enhancing agentic tasks, coding, and reasoning capabilities. This version improves state-of-the-art coding performance, achieving 74.5% on SWE-bench Verified and excels in detailed research, data analysis, and multi-file code refactoring. It is optimized for precise bug fixes without unnecessary changes and is designed to boost productivity for developers and researchers. Claude Opus 4.1 is available via API and integrated into platforms like Amazon Bedrock and Google Cloud’s Vertex AI, offering advanced AI solutions with consistent pricing from the previous model.
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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