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Claude 3.5 Sonnet (2024-06-20)

Claude 3.5 Sonnet (2024-06-20) (June 2024) delivered strong intelligence at twice the speed of Claude 3 Opus, setting new industry benchmarks on graduate-level reasoning and coding proficiency while matching Opus-tier capability at Sonnet pricing, the first release in Anthropic's Claude 3.5 model family.

File InputTool UseVision (Image)Explicit Caching
index.ts
import { streamText } from 'ai'


const result = streamText({
  model: 'anthropic/claude-3.5-sonnet-20240620',
  prompt: 'Why is the sky blue?'
})
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Frequently Asked Questions

  • Why would I use this -20240620 checkpoint instead of anthropic/claude-3.5-sonnet (October 2024)?

    Production systems validated against the June 2024 behavior sometimes need a pinned checkpoint to avoid unexpected behavioral drift. Regression test suites, evaluation harnesses, or contracts specifying a particular model version are common reasons.

  • How did Claude 3.5 Sonnet (2024-06-20) (June 2024) compare to Claude 3 Opus on benchmarks?

    Anthropic reported it outperformed Claude 3 Opus on GPQA (graduate-level reasoning), MMLU (undergraduate knowledge), and HumanEval (coding proficiency), operating at twice Opus's speed and at Sonnet-tier cost.

  • What was the internal agentic coding evaluation result?

    3.5 Sonnet solved 64% of coding problems in Anthropic's internal evaluation, fixing bugs and adding features to open-source codebases given natural language descriptions. Claude 3 Opus scored 38%.

  • Does this version have computer use?

    No. Computer use was introduced in the October 2024 upgrade (the non-dated claude-3.5-sonnet). This June 2024 checkpoint predates that capability.

  • What vision improvements did this model introduce over Claude 3?

    Anthropic described it as outperforming Claude 3 Opus on standard vision benchmarks at the time, with particularly strong gains in chart and graph interpretation and in transcribing text from imperfect images.

  • What does the context window of 200K tokens enable for this model?

    You can process entire large documents, codebases, or conversation histories in a single pass. Anthropic highlighted context-sensitive customer support across long histories and multi-file code analysis as key use cases.