- Enterprise & Research Teams: For deep document analysis, R&D workflows, and high-context reasoning.
- Developers & Engineers: Generate, debug, and optimize extensive codebases or system designs.
- Data Analysts & Scientists: Analyze large datasets, financial reports, charts, using multimodal inputs.
- Legal & Finance Professionals: Summarize and interpret contracts or complex filings with high accuracy.
- Educators & Advanced Learners: Perform graduate-level problem solving in math, logic, and technical domains.
How to Use Claude 3 Opus?
- Access via API & Cloud: Available through Anthropic API, AWS Bedrock, and Google Vertex AI under model IDs like `claude-3-opus-20240229`.
- Submit Text & Images: Send prompts including text, charts, or documents—up to 200K tokens.
- Configure for Depth: Use chain-of-thought prompts to unlock deep reasoning.
- Process Vision Inputs: Include charts, graphs, or screenshots for integrated analysis.
- Manage Cost: Priced at $15 per million input tokens and $75 per million output tokens.
- Benchmark-Leading Reasoning: Scores
86–88% on MMLU,84.9% on HumanEval, 95.4% on HellaSwag—beating GPT-4 and Gemini. - Huge Context + Enterprise Scalability: 200K-token window (scalable to 1M) supports massive documents.
- Multimodal Comprehension: Expert at analyzing images, graphics, and charts alongside text.
- Flagship Cognitive Power: Excels at deep math, coding, logic, and creative reasoning tasks.
- Cloud-Ready Integration: Deployable via major cloud platforms with enterprise support.
- Top-tier reasoning, math, coding, and benchmarks
- Massive 200K-token window with image support
- Deep analysis suited to enterprise and research
- Available across major cloud platforms
- Outperforms other LLMs on nuanced tasks
- Slowest and most expensive option in Claude 3 lineup
- High input/output token cost may limit frequent usage
- Lacks transparent visual chain-of-thought (“Think” mode) found in later hybrid Claude 4 models
- Requires large context awareness—may be overkill for simple tasks
Pro Plan
$20/month
Connect Google Workspace: email, calendar, and docs
Connect any context or tool through Integrations with remote MCP
Extended thinking for complex work
Ability to use more Claude models
Max
$100/month
- Choose 5x or 20x more usage than Pro
- Higher output limits for all tasks
- Early access to advanced Claude features
- Priority access at high traffic times
API Usage
$15/$75 per 1M tokens
- $15 input & $75 output per 1M tokens
- Prompt caching write - $18.75 / MTok
- Prompt caching read- $1.50 / MTok
Proud of the love you're getting? Show off your AI Toolbook reviews—then invite more fans to share the love and build your credibility.
Add an AI Toolbook badge to your site—an easy way to drive followers, showcase updates, and collect reviews. It's like a mini 24/7 billboard for your AI.
Reviews
Rating Distribution
Average score
Popular Mention
FAQs
Similar AI Tools
OpenAI Dall-E 3
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
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
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.
DeepSeek-V3-0324
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
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
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-V2
DeepSeek V2 is an open-source, Mixture‑of‑Experts (MoE) language model developed by DeepSeek-AI, released in May 2024. It features a massive 236 B total parameters with approximately 21 B activated per token, supports up to 128 K token context, and adopts innovative MLA (Multi‑head Latent Attention) and sparse expert routing. DeepSeek V2 delivers top-tier performance on benchmarks while cutting training and inference costs significantly.
DeepSeek-V2
DeepSeek V2 is an open-source, Mixture‑of‑Experts (MoE) language model developed by DeepSeek-AI, released in May 2024. It features a massive 236 B total parameters with approximately 21 B activated per token, supports up to 128 K token context, and adopts innovative MLA (Multi‑head Latent Attention) and sparse expert routing. DeepSeek V2 delivers top-tier performance on benchmarks while cutting training and inference costs significantly.
DeepSeek-V2
DeepSeek V2 is an open-source, Mixture‑of‑Experts (MoE) language model developed by DeepSeek-AI, released in May 2024. It features a massive 236 B total parameters with approximately 21 B activated per token, supports up to 128 K token context, and adopts innovative MLA (Multi‑head Latent Attention) and sparse expert routing. DeepSeek V2 delivers top-tier performance on benchmarks while cutting training and inference costs significantly.
grok-3-fast
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
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
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-latest
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-latest
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-latest
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-latest
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-latest
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-latest
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.
Meta Llama 3.2
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.
Meta Llama 3.2
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.
Meta Llama 3.2
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.
Perplexity AI
Perplexity AI is a powerful AI‑powered answer engine and search assistant launched in December 2022. It combines real‑time web search with large language models (like GPT‑4.1, Claude 4, Sonar), delivering direct answers with in‑text citations and multi‑turn conversational context.
Perplexity AI
Perplexity AI is a powerful AI‑powered answer engine and search assistant launched in December 2022. It combines real‑time web search with large language models (like GPT‑4.1, Claude 4, Sonar), delivering direct answers with in‑text citations and multi‑turn conversational context.
Perplexity AI
Perplexity AI is a powerful AI‑powered answer engine and search assistant launched in December 2022. It combines real‑time web search with large language models (like GPT‑4.1, Claude 4, Sonar), delivering direct answers with in‑text citations and multi‑turn conversational context.
Mistral Medium 3
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
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
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
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
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
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.
Claude Code
Claude Code is an agentic coding assistant developed by Anthropic. Living in your terminal (or IDE), it comprehends your entire codebase and executes routine tasks—like writing code, debugging, explaining logic, and managing Git workflows—all via natural language commands .
Claude Code
Claude Code is an agentic coding assistant developed by Anthropic. Living in your terminal (or IDE), it comprehends your entire codebase and executes routine tasks—like writing code, debugging, explaining logic, and managing Git workflows—all via natural language commands .
Claude Code
Claude Code is an agentic coding assistant developed by Anthropic. Living in your terminal (or IDE), it comprehends your entire codebase and executes routine tasks—like writing code, debugging, explaining logic, and managing Git workflows—all via natural language commands .
Mfuniko
Mfuniko.com is a centralized platform that provides easy access to multiple top AI chatbots, including ChatGPT, DeepSeek, Gemini, Claude, and Grok, all in one place. Its primary purpose is to offer users a hub to interact with various AI models with a pay-only-for-what-you-use model using their own API keys, thereby avoiding monthly fees for model access. The platform also features chat organization, cross-device sharing, and the ability to interact with files for analysis, summarization, or answering questions.
Mfuniko
Mfuniko.com is a centralized platform that provides easy access to multiple top AI chatbots, including ChatGPT, DeepSeek, Gemini, Claude, and Grok, all in one place. Its primary purpose is to offer users a hub to interact with various AI models with a pay-only-for-what-you-use model using their own API keys, thereby avoiding monthly fees for model access. The platform also features chat organization, cross-device sharing, and the ability to interact with files for analysis, summarization, or answering questions.
Mfuniko
Mfuniko.com is a centralized platform that provides easy access to multiple top AI chatbots, including ChatGPT, DeepSeek, Gemini, Claude, and Grok, all in one place. Its primary purpose is to offer users a hub to interact with various AI models with a pay-only-for-what-you-use model using their own API keys, thereby avoiding monthly fees for model access. The platform also features chat organization, cross-device sharing, and the ability to interact with files for analysis, summarization, or answering questions.
Editorial Note
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.
If you have any suggestions or questions, email us at hello@aitoolbook.ai