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Claude Opus 4.6 vs Claude Sonnet 4.6

Compare Claude Opus 4.6 and Claude Sonnet 4.6 side-by-side. See how these vision models stack up in Open Prompt, OCR, Object Detection, Classification, and Image Captioning.

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AnthropicClaude Opus 4.6
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AnthropicClaude Sonnet 4.6
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Claude Opus 4.6 vs Claude Sonnet 4.6: Overview

Claude Opus 4.6

Claude Opus 4.6 is the flagship large language model from Anthropic, released on 2026-02-05 for advanced reasoning, complex coding, and enterprise agent workflows. It supports text and image inputs via API, offers a 200K-token standard context window with a 1M-token beta option, and enables outputs up to 128K tokens, with adaptive reasoning and context compaction for sustained tasks.

As of 2026-02-17, Anthropic also released Claude Sonnet 4.6, extending the 1M-token context window to a broader tier. Opus remains positioned for maximum depth and benchmark performance, while Sonnet 4.6 brings long-context capability to more cost- and latency-sensitive production use cases.

Claude Sonnet 4.6

Claude Sonnet 4.6 is Anthropic's mid-tier large language model, released February 17, 2026, designed to balance performance, cost, and versatility for professional and developer use. It supports text and vision-based tasks with advanced reasoning, agentic capabilities, and Adaptive Thinking — a mode where the model dynamically scales its internal reasoning depth. A beta context window of up to 1,000,000 tokens (200K standard) enables processing of entire codebases or document collections in a single request. Parameters are undisclosed.

Optimized for coding, computer use, long-context reasoning, agent planning, and knowledge work, Sonnet 4.6 delivers a full generational upgrade over Sonnet 4.5 and approaches Opus 4.5-level performance across many benchmarks at a fraction of the cost. It is the default model on Claude.ai, Claude Cowork, and is available via API and major cloud platforms — making it well suited for production workloads requiring strong reasoning without flagship pricing.

Claude Opus 4.6 vs Claude Sonnet 4.6 Comparison Table

PropertyClaude Opus 4.6 Claude Sonnet 4.6
OrganizationAnthropicAnthropic
Categoryclosedclosed
Modalitymultimodalmultimodal
Release DateFeb 2026Feb 2026
Context Window1.0M1.0M
Parameters
LicenseProprietaryProprietary
Pricing per 1M tokens
Input $/1M$5.00$3.00
Output $/1M$25.00$15.00
Vision Tasks
CaptioningDemoDemo
ClassificationDemoDemo
Object DetectionDemoDemo
OCRDemoDemo
Vision Language
Visual Question AnsweringDemoDemo
Model Features
Foundation Vision
LLMs with Vision Capabilities
Multimodal Vision
Vision Evalspass/fail results · 67 prompts
Score key:≥75%40–74%<40%
Visual Understanding
Overall Score
64.18%
70.15%
Avg Response Time23.35s4.24s
Median input tokensincl. image tokens2.2K2.2K
Median output tokens130105
Est. cost / taskon this benchmark$0.014$0.0080
Defect Detection
73.3%(11/15)
80%(12/15)
Document Understanding
77.8%(7/9)
77.8%(7/9)
Object Counting
20%(2/10)
30%(3/10)
Object Understanding
71.4%(10/14)
71.4%(10/14)
Spatial Understanding
68.4%(13/19)
78.9%(15/19)
OCR
Overall Score
82.53%
81.66%
Avg Response Time5.05s3.42s
Median input tokensincl. image tokens736736
Median output tokens9985
Est. cost / taskon this benchmark$0.0062$0.0035
Focused Scene OCR
85.9%(85/99)
85.9%(85/99)
Handwritten Math
70%(7/10)
50%(5/10)
License Plate Recognition
90%(27/30)
90%(27/30)
Text Recognition
80%(24/30)
86.7%(26/30)
VQA & Extraction
76.7%(46/60)
73.3%(44/60)

Output tokens (incl. reasoning) and est. cost / task are measured on this benchmark from a single low-temperature run, and shown only for models whose run covered at least 90% of prompts. Methodology