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Text Generation Model

Claude 3 Sonnet

Ideal balance of intelligence and speed for enterprise workloads, offering cost-effective performance.

Publisher Anthropic
Type Text
Context Window 200,000 tokens
Training Data August 2023
Input $3.00/MTok
Output $15.00/MTok
Provider Amazon Bedrock

Balanced intelligence and speed for enterprise workloads

Claude 3 Sonnet is a large language model developed by Anthropic, released as part of the Claude 3 model family in early 2024. It is designed to occupy a middle position within that family, offering a balance between response quality and processing speed suited to high-volume, enterprise-scale deployments. The model supports a 200,000-token context window, enabling it to process and reason over long documents, codebases, and extended conversations in a single pass.

Claude 3 Sonnet is particularly well-suited for organizations running large-scale AI workloads where throughput and cost efficiency are priorities alongside output quality. Its training data has a cutoff of August 2023, and it is available through Anthropic's API as well as cloud providers including Amazon Web Services via Bedrock. The model handles tasks such as summarization, question answering, content drafting, and code assistance across a wide range of professional contexts.

What Claude 3 Sonnet supports

Long Context Processing

Handles up to 200,000 tokens in a single context window, allowing it to process lengthy documents, large codebases, or extended conversation histories without truncation.

Text Generation

Generates coherent, structured text for tasks including drafting, summarization, and question answering across professional and technical domains.

Code Assistance

Reads, writes, and explains code across common programming languages, supporting tasks like debugging, refactoring, and documentation generation.

Instruction Following

Follows multi-step and nuanced instructions reliably, making it suitable for structured enterprise workflows and automated pipelines.

High-Volume Throughput

Engineered for sustained, large-scale deployments where consistent performance across many concurrent requests is required.

Multilingual Text

Processes and generates text in multiple languages, supporting global enterprise use cases beyond English-only content.

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Benchmark scores

Scores represent accuracy — the percentage of questions answered correctly on each test.

Benchmark What it tests Score
MMLU-Pro Expert knowledge across 14 academic disciplines 57.9%
GPQA Diamond PhD-level science questions (biology, physics, chemistry) 40.0%
MATH-500 Undergraduate and competition-level math problems 41.4%
AIME 2024 American math olympiad problems 4.7%
LiveCodeBench Real-world coding tasks from recent competitions 17.5%
HLE Questions that challenge frontier models across many domains 3.8%
SciCode Scientific research coding and numerical methods 22.9%

Common questions about Claude 3 Sonnet

What is the context window size for Claude 3 Sonnet?

Claude 3 Sonnet supports a context window of 200,000 tokens, which allows it to process very long documents or extended conversations in a single request.

What is the training data cutoff for Claude 3 Sonnet?

Claude 3 Sonnet has a training data cutoff of August 2023, meaning it does not have knowledge of events or information published after that date.

Where can I access Claude 3 Sonnet?

Claude 3 Sonnet is available through Anthropic's API and via Amazon Web Services through the Amazon Bedrock service, where it is listed under the ID claude-3-sonnet-bedrock.

What types of tasks is Claude 3 Sonnet best suited for?

According to Anthropic, Claude 3 Sonnet is designed for enterprise workloads that require a balance of response quality and speed, including summarization, content drafting, question answering, and code assistance at scale.

How does Claude 3 Sonnet fit within the Claude 3 model family?

Claude 3 Sonnet is the middle-tier model in the Claude 3 family, positioned between Claude 3 Haiku (optimized for speed) and Claude 3 Opus (optimized for the highest capability level), offering a balance of both.

What people think about Claude 3 Sonnet

Community discussion around Claude 3 Sonnet reflects notable user attachment to the model, with approximately 200 people attending an in-person event in San Francisco to mark its retirement after Anthropic discontinued it. Threads indicate that some users developed a strong preference for Sonnet's particular balance of speed and output quality during its active period.

Discussions also reference the broader Claude model family trajectory, with users comparing Sonnet's positioning to newer releases and noting cost and performance tradeoffs across generations. The retirement of Claude 3 Sonnet appears to have prompted reflection among users about model continuity and the pace of iteration in the AI space.

View more discussions →

Parameters & options

Max Temperature 1
Max Response Size 4,096 tokens

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