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Claude Opus 4.7 vs Claude Opus 5.5

Compare Claude Opus 4.7 and Claude Opus 5.5 side-by-side. See how these vision models stack up in Image Captioning, Classification, OCR, Object Detection, and Open Prompt.

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AnthropicClaude Opus 4.7
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AnthropicClaude Opus 5.5
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Claude Opus 4.7 vs Claude Opus 5.5 Comparison Table

Evals updated October 7, 2026Pricing updated October 8, 2026

PropertyClaude Opus 4.7Claude Opus 5.5
OrganizationAnthropicAnthropic
Categoryclosedclosed
Modalitymultimodalmultimodal
Release DateApr 2026Sep 2026
Context Window1.0M1.0M
ParametersUnknownUnknown
LicenseProprietaryProprietary
Pricing per 1M tokens
Input $/1M$5.00$4.00
Output $/1M$25.00$20.00
Vision Tasks
CaptioningDemoDemo
Chart Question AnsweringSupportedSupported
ClassificationDemoDemo
Document Question AnsweringSupportedSupported
Image TaggingSupportedSupported
Multi-Label ClassificationSupportedSupported
Object DetectionDemoDemo
OCRDemoDemo
Vision LanguageSupportedSupported
Visual Question AnsweringDemoDemo
Model Features
Foundation VisionSupportedSupported
LLMs with Vision CapabilitiesSupportedSupported
Multimodal VisionSupportedSupported
Vision Evalsground-truth scores across 6 vision tasks, pooled at low effort
OverallNot evaluated
85.5%
Avg cost / sample–$0.014
Avg speed / sample–12.76s
By task
Object Detection (low)–
74.4%
±0.5, Mean of 3 runs, range 73.9 to 74.8
$0.022
Object Detection (high)–
76.8%
±1.2, Mean of 3 runs, range 75.4 to 77.8
$0.030
Counting (low)–
80.6%
±2.0, Mean of 3 runs, range 78.4 to 82.4
$0.0081
Counting (high)–
82.0%
±2.0, Mean of 3 runs, range 79.7 to 83.8
$0.0098
Identification (low)–
93.8%
±0.0, Mean of 3 runs, range 93.8 to 93.8
$0.0058
Identification (high)–
95.8%
±1.6, Mean of 3 runs, range 93.8 to 96.9
$0.0067
OCR (low)–
87.8%
±0.6, Mean of 3 runs, range 87.0 to 88.2
$0.017
OCR (high)–
87.2%
±0.6, Mean of 3 runs, range 86.5 to 87.8
$0.024
Data Extraction (low)–
93.5%
±0.5, Mean of 3 runs, range 92.8 to 93.8
$0.0066
Data Extraction (high)–
93.5%
±0.5, Mean of 3 runs, range 92.8 to 93.8
$0.0075
Reasoning (low)–
83.0%
±1.0, Mean of 3 runs, range 82.1 to 84.1
$0.0090
Reasoning (high)–
85.9%
±2.6, Mean of 3 runs, range 82.8 to 88.1
$0.011

Claude Opus 4.7 vs Claude Opus 5.5: Overview

Claude Opus 4.7

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 5.5

Claude Opus 5.5 is a proprietary multimodal reasoning model from Anthropic and the first entry in the Claude 5.5 family. It accepts interleaved text and image input and returns text, with a one million token context window and up to 128,000 output tokens per response. Adaptive thinking is always enabled on this model and cannot be disabled; thinking depth is instead governed by an effort parameter with five levels, where medium is the default, a change from the high default used by Claude Opus 5 and earlier Opus models. Anthropic reports a knowledge cutoff of June 2026.

On the visual side, Anthropic characterizes Opus 5.5 as its strongest Opus release for vision and computer use, describing improved reading of dense documents, charts, screenshots, and diagrams for document extraction and visual analysis tasks. Published results include 89.0% on Chartography with tools and 81.8% on OSWorld 2.0 under partial credit scoring, alongside 48.7% under strict scoring reported in the system card. The accompanying system card states that Opus 5.5 scored higher than Opus 5 on every evaluation in its capability summary, with the largest gains concentrated in agentic coding, visual reasoning, computer use, and long-horizon knowledge work. The model ships with safety classifiers covering biology and cybersecurity that can route blocked requests to earlier Claude models.