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Claude Opus 4 is Anthropic’s most powerful, frontier-capability AI model optimized for deep reasoning and advanced software engineering. It sets industry-leading scores in coding (SWE-bench: 72.5 %; Terminal-bench: 43.2 %) and can sustain autonomous workflows—like an open-source refactor—for up to seven hours straight


Claude Opus 4 is Anthropic’s most powerful, frontier-capability AI model optimized for deep reasoning and advanced software engineering. It sets industry-leading scores in coding (SWE-bench: 72.5 %; Terminal-bench: 43.2 %) and can sustain autonomous workflows—like an open-source refactor—for up to seven hours straight


Claude Opus 4 is Anthropic’s most powerful, frontier-capability AI model optimized for deep reasoning and advanced software engineering. It sets industry-leading scores in coding (SWE-bench: 72.5 %; Terminal-bench: 43.2 %) and can sustain autonomous workflows—like an open-source refactor—for up to seven hours straight


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.


DeepSeek VL is DeepSeek’s open-source vision-language model designed for real-world multimodal understanding. It employs a hybrid vision encoder (SigLIP‑L + SAM), processes high-resolution images (up to 1024×1024), and supports both base and chat variants across two sizes: 1.3B and 7B parameters. It excels on tasks like OCR, diagram reasoning, webpage parsing, and visual Q&A—while preserving strong language ability.


DeepSeek VL is DeepSeek’s open-source vision-language model designed for real-world multimodal understanding. It employs a hybrid vision encoder (SigLIP‑L + SAM), processes high-resolution images (up to 1024×1024), and supports both base and chat variants across two sizes: 1.3B and 7B parameters. It excels on tasks like OCR, diagram reasoning, webpage parsing, and visual Q&A—while preserving strong language ability.


DeepSeek VL is DeepSeek’s open-source vision-language model designed for real-world multimodal understanding. It employs a hybrid vision encoder (SigLIP‑L + SAM), processes high-resolution images (up to 1024×1024), and supports both base and chat variants across two sizes: 1.3B and 7B parameters. It excels on tasks like OCR, diagram reasoning, webpage parsing, and visual Q&A—while preserving strong language ability.


DeepSeek‑Coder V2 is an open-source, Mixture‑of‑Experts (MoE) code-focused variant of DeepSeek‑V2, purpose-built for code generation, completion, debugging, and mathematical reasoning. Trained with an additional 6 trillion tokens of code and text, it supports up to 338 programming languages and a massive 128K‑token context window, rivaling or exceeding commercial code models in performance.


DeepSeek‑Coder V2 is an open-source, Mixture‑of‑Experts (MoE) code-focused variant of DeepSeek‑V2, purpose-built for code generation, completion, debugging, and mathematical reasoning. Trained with an additional 6 trillion tokens of code and text, it supports up to 338 programming languages and a massive 128K‑token context window, rivaling or exceeding commercial code models in performance.


DeepSeek‑Coder V2 is an open-source, Mixture‑of‑Experts (MoE) code-focused variant of DeepSeek‑V2, purpose-built for code generation, completion, debugging, and mathematical reasoning. Trained with an additional 6 trillion tokens of code and text, it supports up to 338 programming languages and a massive 128K‑token context window, rivaling or exceeding commercial code models in performance.


DeepSeek Math (also called DeepSeekMath) is DeepSeek’s specialized, open-source, math-centric large language model. Built on DeepSeek‑Coder‑Base‑7B and further pre-trained on ~500B tokens—including 120B from its own math-focused corpus—it excels at competition-level reasoning, achieving 51.7 % on the MATH benchmark and ~64.2 % on GSM8K, rivaling models like GPT‑4 and Gemini‑Ultra—all without external toolkits or voting methods .


DeepSeek Math (also called DeepSeekMath) is DeepSeek’s specialized, open-source, math-centric large language model. Built on DeepSeek‑Coder‑Base‑7B and further pre-trained on ~500B tokens—including 120B from its own math-focused corpus—it excels at competition-level reasoning, achieving 51.7 % on the MATH benchmark and ~64.2 % on GSM8K, rivaling models like GPT‑4 and Gemini‑Ultra—all without external toolkits or voting methods .


DeepSeek Math (also called DeepSeekMath) is DeepSeek’s specialized, open-source, math-centric large language model. Built on DeepSeek‑Coder‑Base‑7B and further pre-trained on ~500B tokens—including 120B from its own math-focused corpus—it excels at competition-level reasoning, achieving 51.7 % on the MATH benchmark and ~64.2 % on GSM8K, rivaling models like GPT‑4 and Gemini‑Ultra—all without external toolkits or voting methods .


Grok 3 is xAI’s newest flagship AI chatbot, released on February 17, 2025, running on the massive Colossus supercluster (~200,000 GPUs). It offers elite-level reasoning, chain-of-thought transparency (“Think” mode), advanced “Big Brain” deeper reasoning, multimodal support (text, images), and integrated real-time DeepSearch—positioning it as a top-tier competitor to GPT‑4o, Gemini, Claude, and DeepSeek V3 on benchmarks.


Grok 3 is xAI’s newest flagship AI chatbot, released on February 17, 2025, running on the massive Colossus supercluster (~200,000 GPUs). It offers elite-level reasoning, chain-of-thought transparency (“Think” mode), advanced “Big Brain” deeper reasoning, multimodal support (text, images), and integrated real-time DeepSearch—positioning it as a top-tier competitor to GPT‑4o, Gemini, Claude, and DeepSeek V3 on benchmarks.


Grok 3 is xAI’s newest flagship AI chatbot, released on February 17, 2025, running on the massive Colossus supercluster (~200,000 GPUs). It offers elite-level reasoning, chain-of-thought transparency (“Think” mode), advanced “Big Brain” deeper reasoning, multimodal support (text, images), and integrated real-time DeepSearch—positioning it as a top-tier competitor to GPT‑4o, Gemini, Claude, and DeepSeek V3 on benchmarks.


Grok 3 Fast is xAI’s speed-optimized variant of their flagship Grok 3 model, offering identical output quality with lower latency. It leverages the same underlying architecture—including multimodal input, chain-of-thought reasoning, and large context—but serves through optimized infrastructure for real-time responsiveness. It supports up to 131,072 tokens of context.


Grok 3 Fast is xAI’s speed-optimized variant of their flagship Grok 3 model, offering identical output quality with lower latency. It leverages the same underlying architecture—including multimodal input, chain-of-thought reasoning, and large context—but serves through optimized infrastructure for real-time responsiveness. It supports up to 131,072 tokens of context.


Grok 3 Fast is xAI’s speed-optimized variant of their flagship Grok 3 model, offering identical output quality with lower latency. It leverages the same underlying architecture—including multimodal input, chain-of-thought reasoning, and large context—but serves through optimized infrastructure for real-time responsiveness. It supports up to 131,072 tokens of context.


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.

DeepSeek R1 Lite Preview is the lightweight preview of DeepSeek’s flagship reasoning model, released on November 20, 2024. It’s designed for advanced chain-of-thought reasoning in math, coding, and logic, showcasing transparent, multi-round reasoning. It achieves performance on par—or exceeding—OpenAI’s o1-preview on benchmarks like AIME and MATH, using test-time compute scaling.


DeepSeek R1 Lite Preview is the lightweight preview of DeepSeek’s flagship reasoning model, released on November 20, 2024. It’s designed for advanced chain-of-thought reasoning in math, coding, and logic, showcasing transparent, multi-round reasoning. It achieves performance on par—or exceeding—OpenAI’s o1-preview on benchmarks like AIME and MATH, using test-time compute scaling.


DeepSeek R1 Lite Preview is the lightweight preview of DeepSeek’s flagship reasoning model, released on November 20, 2024. It’s designed for advanced chain-of-thought reasoning in math, coding, and logic, showcasing transparent, multi-round reasoning. It achieves performance on par—or exceeding—OpenAI’s o1-preview on benchmarks like AIME and MATH, using test-time compute scaling.

Magistral is Mistral AI’s first dedicated reasoning model, released on June 10, 2025, available in two versions: open-source 24 B Magistral Small and enterprise-grade Magistral Medium. It’s built to provide transparent, multilingual, domain-specific chain-of-thought reasoning, excelling in step-by-step logic tasks like math, finance, legal, and engineering.

Magistral is Mistral AI’s first dedicated reasoning model, released on June 10, 2025, available in two versions: open-source 24 B Magistral Small and enterprise-grade Magistral Medium. It’s built to provide transparent, multilingual, domain-specific chain-of-thought reasoning, excelling in step-by-step logic tasks like math, finance, legal, and engineering.

Magistral is Mistral AI’s first dedicated reasoning model, released on June 10, 2025, available in two versions: open-source 24 B Magistral Small and enterprise-grade Magistral Medium. It’s built to provide transparent, multilingual, domain-specific chain-of-thought reasoning, excelling in step-by-step logic tasks like math, finance, legal, and engineering.


Kimi-K2 is Moonshot AI’s advanced large language model (LLM) designed for high-speed reasoning, multi-modal understanding, and adaptable deployment across research, enterprise, and technical applications. Leveraging optimized architectures for efficiency and accuracy, Kimi-K2 excels in problem-solving, coding, knowledge retrieval, and interactive AI conversations. It is built to process complex real-world tasks, supporting both text and multi-modal inputs, and it provides customizable tools for experimentation and workflow automation.


Kimi-K2 is Moonshot AI’s advanced large language model (LLM) designed for high-speed reasoning, multi-modal understanding, and adaptable deployment across research, enterprise, and technical applications. Leveraging optimized architectures for efficiency and accuracy, Kimi-K2 excels in problem-solving, coding, knowledge retrieval, and interactive AI conversations. It is built to process complex real-world tasks, supporting both text and multi-modal inputs, and it provides customizable tools for experimentation and workflow automation.


Kimi-K2 is Moonshot AI’s advanced large language model (LLM) designed for high-speed reasoning, multi-modal understanding, and adaptable deployment across research, enterprise, and technical applications. Leveraging optimized architectures for efficiency and accuracy, Kimi-K2 excels in problem-solving, coding, knowledge retrieval, and interactive AI conversations. It is built to process complex real-world tasks, supporting both text and multi-modal inputs, and it provides customizable tools for experimentation and workflow automation.

Command R+ is Cohere’s latest state-of-the-art language model built for enterprise, optimized specifically for retrieval-augmented generation (RAG) workloads at scale. Available first on Microsoft Azure, Command R+ handles complex business data, integrates with secure infrastructure, and powers advanced AI workflows with fast, accurate responses. Designed for reliability, customization, and seamless deployment, it offers enterprises the ability to leverage cutting-edge generative and retrieval technologies across regulated industries.

Command R+ is Cohere’s latest state-of-the-art language model built for enterprise, optimized specifically for retrieval-augmented generation (RAG) workloads at scale. Available first on Microsoft Azure, Command R+ handles complex business data, integrates with secure infrastructure, and powers advanced AI workflows with fast, accurate responses. Designed for reliability, customization, and seamless deployment, it offers enterprises the ability to leverage cutting-edge generative and retrieval technologies across regulated industries.

Command R+ is Cohere’s latest state-of-the-art language model built for enterprise, optimized specifically for retrieval-augmented generation (RAG) workloads at scale. Available first on Microsoft Azure, Command R+ handles complex business data, integrates with secure infrastructure, and powers advanced AI workflows with fast, accurate responses. Designed for reliability, customization, and seamless deployment, it offers enterprises the ability to leverage cutting-edge generative and retrieval technologies across regulated industries.
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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