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Anthropic

Anthropic: Claude Opus 4.7

Claude Opus 4.7 Overview

Claude Opus 4.7 is a proprietary multimodal language model developed by Anthropic, released on April 16, 2026. It is designed for agentic coding, long-horizon task execution, and enterprise knowledge work. The model supports text and vision inputs and operates with a context window of up to 1,000,000 tokens. It introduces adaptive thinking, which dynamically allocates reasoning based on task complexity, along with configurable effort controls including a new xhigh setting that sits between the existing high and max levels. It achieves 87.6% on SWE-bench Verified and 78.0% on OSWorld-Verified, reflecting strong performance on autonomous software engineering and computer use tasks respectively.

Compared to Claude Opus 4.6, version 4.7 shows improved instruction following and higher reliability in extended agentic tasks. Vision capabilities now support high-resolution inputs up to 2,576px on the long edge (~3.75 megapixels), more than three times the resolution of prior Claude models, enabling finer interpretation of dense diagrams, UI screenshots, and document layouts. These improvements, combined with self-verification on long-running tasks and a new task budget system for controlling agentic loops, make it well-suited for complex software engineering, technical analysis, and multimodal vision workflows.

Claude Opus 4.7 Interactive Demo

Claude Opus 4.7 Details & Performance

Details

Resources

Vision Tasks

Object DetectionClassificationOCRVision LanguageCaptioningVisual Question Answering

Features

Foundation VisionMultimodal VisionLLMs with Vision Capabilities

Usage

Past 30 Days

Performance

Avg. Latency

Arena Rankings

Claude Opus 4.7 Vision Evals

Visual Understanding

77 models · 67 tasks
HighestLowest
This model#30 of 7767.16% pass rate · better than 55%
Score67.16%pass rate across 67 tasks
Speed4.85savg response per task
Cost$0.015 / task$5.00 in · $25.00 out / 1M
Tokens2.6K / task2.4K in · 110 out
Score key:≥75%40–74%<40%
CategoryPassedScore
Object Understanding12 / 14
85.7%
Document Understanding7 / 9
77.8%
Defect Detection11 / 15
73.3%
Spatial Understanding13 / 19
68.4%
Object Counting2 / 10
20%
HighestLowest
This model#10 of 5886.9% pass rate · better than 83%
Score86.9%pass rate across 229 tasks
Speed4.19savg response per task
Cost$0.0069 / task$5.00 in · $25.00 out / 1M
Tokens1.1K / task969 in · 81 out
Score key:≥75%40–74%<40%
CategoryPassedScore
License Plate Recognition28 / 30
93.3%
Focused Scene OCR88 / 99
88.9%
Text Recognition26 / 30
86.7%
VQA & Extraction49 / 60
81.7%
Handwritten Math8 / 10
80%

Scores based on a single evaluation run · Methodology

View all Vision Evals →

Claude Opus 4.7 Pricing

Claude Opus 4.7 costs $5.00 per 1M input tokens and $25.00 per 1M output tokens.

Input$5.00 / 1M tokens
Output$25.00 / 1M tokens
Cached input$0.500 / 1M tokens

Pricing updated Jul 15, 2026

Price vs. performance

Estimated cost per task vs. Visual Understanding score, for this model and others ranked near it. Upper-left is the sweet spot (high quality, low cost).

11 of 11 models plotted

ModelScoreMedian tokensEst. cost / taskCompare
GoogleGemini 2.5 Pro70.2%856$0.0060Compare
GoogleGemini 3.1 Flash-Lite68.7%1.1K$0.0003Compare
GoogleGemma 4 26B A4B68.7%531$0.0001Compare
QwenQwen3.6 Plus68.7%1.6K$0.0005Compare
AnthropicClaude Opus 4.867.2%2.2K$0.012Compare
AnthropicClaude Opus 4.7(this model)67.2%2.6K$0.015
GoogleGemma 4 31B67.2%467$0.0001Compare
AnthropicClaude Opus 4.6 64.2%2.3K$0.014Compare
OpenAIGPT-5.4 Nano62.7%1.8K$0.0004Compare
MetaLlama 4 Maverick59.7%2.4K$0.0005Compare
AnthropicClaude Sonnet 4.559.7%2.3K$0.0092Compare

Alternatives to Claude Opus 4.7

Other models worth comparing for similar use cases.

Google
Gemini 3.1 Pro
Gemini 3.1 Pro is a proprietary multimodal model from Google’s Gemini 3 series, released in early 2026 and designed for advanced reasoning across large multimodal datasets. It accepts text, images, audio, video, and documents, supporting up to a 1-million-token input context with up to 64k output tokens. Compared with Gemini 3 Pro, it improves long-context synthesis and multi-step reasoning, enabling more reliable analysis of large documents, datasets, and software codebases.The model also advances visual understanding and grounding, allowing it to interpret UI screenshots, diagrams, and real-world scenes while referencing specific regions within images or video. These capabilities make Gemini 3.1 Pro well suited for multimodal workflows involving document processing, interface analysis, robotics research, and complex visual reasoning.
OpenAI
GPT-5.4
GPT-5.4 is a proprietary multimodal large language model developed by OpenAI and released on March 5, 2026. It is designed for professional workloads such as advanced software development, research, and agentic automation. The model combines the general reasoning capabilities of the GPT-5 series with software engineering improvements derived from GPT-5.3-Codex. In the API and Codex environments it supports context windows of up to 1 million tokens, enabling long-context reasoning and large-scale code or document workflows.Compared with GPT-5.2, GPT-5.4 reduces false individual claims by 33% and lowers overall response errors by 18%, improving factual reliability across complex tasks. It is also the first general-purpose OpenAI release with native computer-use capabilities, allowing agents to interact with desktops, browsers, and external applications to complete multi-step workflows. The model family includes three variants: GPT-5.4 (standard), GPT-5.4 Pro for higher-performance workloads, and GPT-5.4 Thinking, a reasoning-oriented version in ChatGPT that presents an upfront plan before generating its response. The API also introduces a Tool Search system that allows models to retrieve tool definitions dynamically, reducing token usage in tool-heavy integrations.
Qwen
Qwen3 VL 235B A22B Instruct
Qwen3 VL 235B A22B Instruct is a flagship multimodal vision-language model developed by Qwen (Alibaba Cloud), designed for instruction-following tasks that combine advanced text generation with visual understanding. It serves as a high-end open-weight model for developers and researchers building multimodal AI systems that require strong reasoning, perception, and long-context capabilities.The model supports interleaved text and image inputs, very long context windows (up to roughly 256K tokens), and efficient inference through a mixture-of-experts architecture with about 22B active parameters out of 235B total. In today’s landscape, it competes with top-tier proprietary vision-language models while offering the advantages of open weights and flexible deployment. Typical applications include multimodal assistants, document and image analysis, visual reasoning, and large-context instruction-based workflows.
Meta
Llama 4 Maverick
Llama 4 Maverick, introduced on April 5, 2025, is one of the first models in Meta’s Llama 4 family, designed as a natively multimodal model supporting text + image inputs with text outputs. It employs a Mixture-of-Experts (MoE) architecture with 128 experts, activating ~17B parameters per token out of a pool of ~400B total parameters. This design improves scalability, efficiency, and reasoning capacity. Maverick has a 1M-token context window, enabling it to handle large documents, extended conversations, and multimodal reasoning. Its knowledge cutoff is August 2024.The model is released under the Llama 4 Community License and comes in both base and instruction-tuned (“Instruct”) versions. Maverick is widely deployed via Hugging Face, Google Vertex AI, Amazon Bedrock, and Oracle Cloud, making it one of the most accessible large open-weight models. However, it outputs text only (no image/audio generation) and, while input capacity is huge, output limits are typically much smaller. The MoE design also raises hardware demands, as maintaining 128 experts requires significant compute resources, and Meta’s license introduces restrictions around commercial-scale use.
Grok
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Grok 4, released by xAI on July 9, 2025, is the fourth-generation model in the Grok family and the most advanced to date. It is multimodal, supporting text, vision, tool use, and real-time web search, with a reported 256,000-token context window for long-form reasoning and document analysis. Its training data extends through November 2024, making it the most up-to-date Grok model at launch.The lineup includes Grok 4 Generalist for broad tasks, Grok 4 Heavy for higher-capacity reasoning, and Grok 4 Code optimized for programming and debugging. A notable feature is its always-on “Think” mode, designed for deeper multi-step reasoning. While xAI has not disclosed parameter counts, Grok 4 is positioned to compete with frontier models like GPT-5 and Claude 4, balancing real-time knowledge via web integration with structured tool use. It is best suited for coding, complex reasoning, and multimodal AI assistants.

Other Anthropic Opus models

Other versions in the same family as Claude Opus 4.7.

Claude Opus 4.7 License

Proprietary

License terms and commercial-use guidance for Claude Opus 4.7.

This model is proprietary. The author retains all rights, and use of the model is governed by their specific terms of service or license agreement.

Commercial use depends on the terms set by the model author. Most proprietary commercial models require a paid subscription, API key, or per-call billing. Check the provider’s pricing and terms-of-service for details.

License information is provided as a guide and is not legal advice.