Claude 3.5 Sonnet
Performance boost, combined with cost-effective pricing, makes Claude 3.5 Sonnet ideal for complex tasks.
Anthropic 
Amazon Bedrock Graduate-level reasoning with a 200K context window
Claude 3.5 Sonnet is a text generation model developed by Anthropic, released as part of the Claude 3.5 model family. It supports a 200,000-token context window and has a training data cutoff of April 2024. The model was benchmarked on graduate-level reasoning (GPQA), undergraduate-level knowledge (MMLU), and coding proficiency (HumanEval), and is noted for improved comprehension of nuance, humor, and complex instructions.
Claude 3.5 Sonnet is designed for tasks that require both depth and throughput, operating at twice the speed of Claude 3 Opus while remaining cost-effective. It is particularly well-suited for context-sensitive customer support, orchestrating multi-step workflows, and generating high-quality written content in a natural tone. On MindStudio, it is available via Amazon Bedrock.
What Claude 3.5 Sonnet supports
Long Context Processing
Handles up to 200,000 tokens in a single context window, enabling analysis of lengthy documents, codebases, or conversation histories without truncation.
Graduate-Level Reasoning
Benchmarked on GPQA for graduate-level reasoning tasks, supporting complex multi-step logic and inference across academic and professional domains.
Code Generation
Evaluated on HumanEval for coding proficiency, capable of writing, explaining, and debugging code across common programming languages.
Natural Language Writing
Produces high-quality written content with a natural, relatable tone, including nuanced handling of humor and complex stylistic instructions.
Multi-Step Workflow Orchestration
Designed to coordinate multi-step agentic workflows, maintaining context and instruction fidelity across sequential tasks.
High-Throughput Inference
Operates at twice the speed of Claude 3 Opus, making it suitable for latency-sensitive applications such as real-time customer support.
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Get Started FreeBenchmark 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 | 63.4% |
| GPQA Diamond | PhD-level science questions (biology, physics, chemistry) | 40.8% |
| MATH-500 | Undergraduate and competition-level math problems | 72.1% |
| AIME 2024 | American math olympiad problems | 3.3% |
| LiveCodeBench | Real-world coding tasks from recent competitions | 31.4% |
| HLE | Questions that challenge frontier models across many domains | 3.5% |
| SciCode | Scientific research coding and numerical methods | 27.4% |
Common questions about Claude 3.5 Sonnet
What is the context window size for Claude 3.5 Sonnet?
Claude 3.5 Sonnet supports a context window of 200,000 tokens, allowing it to process large documents, long conversations, or extensive codebases in a single request.
What is the training data cutoff for Claude 3.5 Sonnet?
The model's training data has a cutoff of April 2024, meaning it does not have knowledge of events or publications after that date.
How is Claude 3.5 Sonnet accessed on MindStudio?
On MindStudio, Claude 3.5 Sonnet is available through Amazon Bedrock, identified by the model ID claude-3.5-sonnet-bedrock. No separate API key setup is required when using it through MindStudio.
What types of tasks is Claude 3.5 Sonnet best suited for?
According to Anthropic's overview, it is well-suited for complex tasks such as context-sensitive customer support, multi-step workflow orchestration, graduate-level reasoning, and high-quality content generation.
Who publishes Claude 3.5 Sonnet?
Claude 3.5 Sonnet is published by Anthropic, an AI safety company. It is part of the Claude 3.5 model family.
What people think about Claude 3.5 Sonnet
The Reddit threads provided do not directly discuss Claude 3.5 Sonnet, focusing instead on unrelated topics such as ChatGPT memory features, Claude Opus 4.5 benchmarks, and Google Gemini previews. No community sentiment specific to Claude 3.5 Sonnet can be derived from these threads.
Because no relevant community discussions about this specific model were found in the provided threads, no conclusions about user praise, concerns, or common use cases can be accurately reported.
I got tired of ChatGPT forgetting everything, so I built it a "Save Game" feature. 1,000+ sessions later, it remembers my decisions from 2 months ago.
New benchmark: Claude Opus 4.5 broke the efficiency wall.+21% intelligence while getting 66% cheaper
AI-2027 Long Horizon Graph Update
Google Gemini 3.1 Pro Preview Soon?
Documentation & links
Parameters & options
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