Claude 3 Sonnet

Released
2024-03-04
Last refreshed
2026-10-08
Status
Researched 9d ago
DeprecatedProprietaryCommercial use: conditionalMultimodalCodingRAGAgentsLong contextVisionJSON / Tool use

Claude 3 Sonnet is a legacy integration reference; keep it only while you identify a current replacement.

Anthropic releases · 16 in the last 12 monthsChangelog →
Specifications
Family
Claude 3
Released
2024-03-04
Context
200K
Parameters
70B
Architecture
Decoder Only
Knowledge cutoff
2023-08
Specialization
general
Openness
Proprietary
License
ProprietaryCommercial use: conditional
Weights
Not released
Code
Unknown
Training
Fine-tuned
Created by

Developing safe and ethical AI systems.

San Francisco, California, United States
Founded 2021
Website
Pricing
Output / 1M
$15.00
Input / 1M
$3.00

Cheapest of 2 routes · AWS Bedrock · cache read $0.300

About

Claude 3 Sonnet by Anthropic is a versatile large language AI model, balancing intelligence and speed for diverse enterprise use cases. It is part of the Claude 3 family, positioned between the powerful Opus and the faster Haiku models. Sonnet excels in nuanced content creation, accurate summarization, and complex scientific query handling while also showcasing proficiency in non-English languages and coding tasks. Additionally, it enhances vision capabilities with exceptional skills in visual reasoning, such as interpreting charts, graphs, and transcribing text from imperfect images, which benefits industries like retail, logistics, and finance.

Providers(2)

Compare all 2

Compare API pricing across 2 tracked provider routes for input and output tokens, batch, and cached reads when available.

ProviderInput / 1MOutput / 1MCacheRoute
AWS Bedrock$3.00$15.00read $0.300
Serverless
GCP Vertex AI$3.00$15.00-
Serverless

Deprecated provider routes(1)

ProviderStatusCatalog ID
AnthropicDeprecated—

Available via routers & gateways(15)

Capabilities

VisionMultimodalReasoningStructured OutputsCode Execution

Benchmark peer barsfor Vision

Benchmark scores(1)

Scores are benchmark-specific and are direction-aware: the same numeric gap can mean very different outcomes across suites. Use the leaderboard context and this model's provider route to decide whether the winning margin is meaningful for your workload.
BenchmarkScoreVersionEvaluationSource
Massive Multi-discipline Multimodal Understanding53.1—Observed 2026-04-14—Source

Migration checks

No linked migration route is available for this model yet.

API versions

claude-3-sonnet-20240229