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Model details

claude-sonnet-4-20250514

Claude Sonnet 4 sits within the Anthropic claude-sonnet family as a proprietary API-only assistant built for nuanced reasoning across coding, analysis, and creative tasks. Its lineage emphasizes long-context understanding and multi-step problem solving, making it well suited to complex workflows where coherent recall across extended documents matters. The model's design supports advanced reasoning for multi-step tasks and integrates tool-calling capabilities that enable agentic workflows where the assistant can invoke external functions to retrieve information or perform actions.

In practical use, the model combines a 200,000-token context window with a 64,000-token maximum output, allowing it to ingest and reason over large documents or codebases while producing substantial responses. It accepts text and image inputs, including PDF documents via attachments, and outputs text, which makes it flexible for mixed-media workflows such as document analysis, visual question answering, and code generation. Temperature control and structured output via tool calling round out a capability set aimed at developers building assistants, retrieval-augmented systems, and automated pipelines that require precise instruction following alongside strong analytical performance.

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Provider
Jiekou.AI
Model key
claude-sonnet-4-20250514
Release date
Jan 1, 2026
Last updated
Jan 1, 2026
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$2.70
Output token cost
$13.50

Limits

Output tokens
64,000 tokens
Context window
200,000 tokens

Transparent token rates

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Rates are shown per one million tokens. Combined means one million input plus one million output tokens.

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CoverageBenchmark

A third-party model guide for Claude Sonnet 4 (Anthropic's mid-tier model in the Claude 4 family, released May 22, 2025) reports it scored 72.7% on SWE-bench Verified at $3 per million input tokens, while Opus 4 cost five times more at $15 per million input for less than two additional percentage points of coding accur The guide describes Sonnet 4 as accepting text, images, and PDFs as input, supporting tool calling and multi-step task execution, with a 200K token context window and up to 64,000 tokens of extended internal reasoning during which it can call external tools and adjust its approach. Anthropic measured a 65% reduction in

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