Claude 3 Opus

Extracted Attributes

• Developer

  Anthropic

• Model Type

  Large Language Model

• Input Token Cost

  $15 per million input tokens

• Key Capabilities

  Complex analytical tasks, content creation, technical work, research synthesis, code generation, multilingual processing, open-ended prompts, sight-unseen scenarios

• Model Type Detail

  Multimodal Model

• Output Token Cost

  $75 per million output tokens

• Accuracy (GPQA Benchmark)

  ~50% (compared to 60-80% for graduate-level domain experts)

• Context Window (Expanded)

  Up to 1,000,000 tokens (for select customers/specific use cases)

• Context Window (Standard)

  200,000 tokens

• Multilingual Accuracy (MMLU)

  Over 90% in 8 languages (French, Russian, Simplified Chinese, Spanish, Bengali, Thai, German, Japanese)

• Release Date (Claude 3 family)

  2024-03-04

• Accuracy (MGSM 0-shot Math Benchmark)

  Above 90%

• Recall (Needle In A Haystack Evaluation)

  Over 99% accuracy (in documents up to 200K tokens)

• Accuracy ('100Q Hard' Factual Evaluation)

  46.5% (nearly 2x increase over Claude 2.1)

Timeline

• First generation of Claude models (Claude 1) released, initiating the Claude family. (Source: User Summary, Wikipedia)

  2023-03

• Claude 3 model family, including Claude 3 Opus, Sonnet, and Haiku, was released. (Source: Wikipedia (Web Search), Anthropic News)

  2024-03-04

• Anthropic released Claude 3.5 Sonnet, which performed better on benchmarks compared to Claude 3 Opus. (Source: Wikipedia (Web Search))

  2024-06-20

• Claude Sonnet 4.5 is slated for release as the latest model in the Claude family. (Source: User Summary, Wikipedia)

  2025-09

Claude (language model)

Claude is a family of large language models developed by Anthropic. There are several models within the family, arranged into 4 generations. The first, Claude 1, was released in March 2023, and the latest, Claude Sonnet 4.5, in September 2025. The data for these models comes from a variety of sources, such as Internet text, data from paid contractors, and other Claude users. Training involves techniques such as data deduplication, RLHF, and constitutional AI.

Web Search Results

• Claude v3 Opus - Relevance AI

  Claude v3 Opus is Anthropic's most advanced AI model, designed to handle complex analytical tasks, content creation, and technical work with enhanced reasoning capabilities and a 200K token context window. It represents a significant upgrade in areas like research synthesis, code generation, and multilingual processing. [...] ## Improving Accuracy and Reducing Errors Claude v3 Opus represents a significant leap forward in accuracy, demonstrating twice the precision of its predecessor. This improvement manifests in more reliable responses and fewer instances of incorrect information. The model's enhanced capabilities are particularly evident in technical and specialized topics. [...] The extensive 200K context window of Claude v3 Opus represents a game-changing capability in AI interaction. This expanded capacity allows for processing entire documents, complex code bases, or lengthy conversations without losing context. For select customers, the potential to handle over 1 million tokens pushes these boundaries even further.

• Claude 3 SOTA Model Suite: Opus, Sonnet, and Haiku - Encord

  Claude 3 exhibits remarkable reasoning and mathematical problem-solving abilities, surpassing previous models in various benchmarks. In evaluations such as GPQAand MATH, Claude 3 Opus achieves significant improvements, although falling slightly short of expert-level accuracy. Leveraging techniques like chain-of-thought reasoning and majority voting further enhances performance, with Opus demonstrating impressive scores in both reasoning and mathematical problem-solving tasks, showcasing its [...] Claude 3 Opus stands out as the most intelligent model, offering unparalleled performance on complex tasks. It excels in handling open-ended prompts and navigating sight-unseen scenarios with remarkable fluency and human-like understanding, showcasing the outer limits of generative AI. However, this high intelligence comes at a higher cost of $15 per million input tokens and $75 per million output tokens. The context window for Opus is 200K tokens, and it is suitable for tasks such as task [...] Claude 3's capability for information recall from long contexts is impressive, expanding from 100K to 200K tokens and supporting contexts up to 1M tokens. Despite challenges in reliable recall within long contexts, Claude 3 models, particularly Claude Opus, exhibit significant improvements in accurately retrieving specific information. In evaluations like Needle In A Haystack (NIAH), Claude Opus consistently achieves over 99% recall in documents of up to 200K tokens, highlighting its enhanced

• [PDF] The Claude 3 Model Family: Opus, Sonnet, Haiku - Anthropic

  over 10 different evaluation rollouts. In each rollout, we randomize the order of the multiple choice options. We see that Claude 3 Opus typically scores around 50% accuracy. This improves greatly on prior models but falls somewhat short of graduate-level domain experts, who achieve accuracy scores in the 60-80% range on these questions. [...] In our "100Q Hard" factual evaluation as shown in Figure 11, which includes a series of obscure and open-ended questions, Claude 3 Opus scored 46.5%, almost a 2x increase in accuracy over Claude 2.1. Moreover, Claude 3 Opus demonstrated a significant decrease in the proportion of questions it answered incorrectly. [...] We investigated the math benchmark MGSM , a translated version of the math benchmark GSM8K . As shown in Table 4 Claude 3 Opus reached a state-of-the-art 0-shot score of above 90%. When looking at accuracy scores per language in Fig 9, Opus achieves over 90% in accuracy in 8 languages like French, Russian, Simplified Chinese, Spanish, Bengali, Thai, German, and Japanese. Multilingual MMLU.

• Claude (language model) - Wikipedia

  ### Claude 3 [edit&action=edit&section=9 "Edit section: Claude 3")] Claude 3 was released on March 4, 2024, with claims in the press release to have set new industry benchmarks across a wide range of cognitive tasks. The Claude 3 family includes three models in ascending order of capability: Haiku, Sonnet, and Opus. The default version of Claude 3, Opus, has a context window of 200,000 tokens, but this is being expanded to 1 million for specific use cases.( [...] On June 20, 2024, Anthropic released Claude 3.5 Sonnet, which performed better on benchmarks compared to the larger Claude 3 Opus. Released alongside 3.5 Sonnet was the new Artifacts capability in which Claude was able to create code in a dedicated window in the interface and preview the rendered output in real time, such as SVG graphics or websites.(

• Introducing the next generation of Claude - Anthropic

  Claude 3 Opusis our most intelligent model, with best-in-market performance on highly complex tasks. It can navigate open-ended prompts and sight-unseen scenarios with remarkable fluency and human-like understanding. Opus shows us the outer limits of what’s possible with generative AI. [...] To process long context prompts effectively, models require robust recall capabilities. The 'Needle In A Haystack' (NIAH) evaluation measures a model's ability to accurately recall information from a vast corpus of data. We enhanced the robustness of this benchmark by using one of 30 random needle/question pairs per prompt and testing on a diverse crowdsourced corpus of documents. Claude 3 Opus not only achieved near-perfect recall, surpassing 99% accuracy, but in some cases, it even identified [...] Previous Claude models often made unnecessary refusals that suggested a lack of contextual understanding. We’ve made meaningful progress in this area: Opus, Sonnet, and Haiku are significantly less likely to refuse to answer prompts that border on the system’s guardrails than previous generations of models. As shown below, the Claude 3 models show a more nuanced understanding of requests, recognize real harm, and refuse to answer harmless prompts much less often. Image 5

• Instance Of

  Q117349473