Claude 3 Sonnet
Claude 3 Sonnet is worth evaluating for coding, rag, and agents when its provider route and context window match the workload.
Use it for
- Teams evaluating coding, rag, and agents
- Workloads that can use a 200k context window
- Buyers comparing 2 tracked provider routes
Do not use it for
- Workloads where another current model has stronger sourced task evidence
- Family
- Claude 3
- Released
- 2024-03-04
- Context
- 200k
- Parameters
- 70B
- Architecture
- Decoder Only
- Knowledge cutoff
- 2023-08
- Specialization
- general
- Training
- finetuned
Cheapest of 3 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. Operated at twice the speed of Claude 3 Opus, Sonnet is efficient in context-sensitive customer support and multi-step workflows. It has achieved AI Safety Level 2 (ASL-2) and is accessible through multiple platforms, including Claude.ai, the Claude iOS app, the Anthropic API, Amazon Bedrock, and Google Cloud's Vertex AI.
Claude 3 Sonnet is a model in the Claude 3 family. The structured metadata tracks a 200k-token context window, multimodal input, reasoning, structured outputs, and code execution. This page tracks provider routes through AWS Bedrock, GCP Vertex AI, and Anthropic, with the cheapest tracked route listed at $3 input and $15 output per 1M tokens. Headline tracked benchmarks include Massive Multi-discipline Multimodal Understanding 53.1.
Top use-case fit: coding, agents, and build tasks
Coding
Included by capability and metadata signals in the decision map.
RAG
Included by capability and metadata signals in the decision map.
Agents
Included by capability and metadata signals in the decision map.
Provider price ladder
Compare all 3Compare API pricing across 2 providers for input and output tokens, batch, and cached reads when available.
| Provider | Input / 1M | Output / 1M | Cache | Route |
|---|---|---|---|---|
| AWS Bedrock | $3.00 | $15.00 | read $0.300 | Serverless |
| GCP Vertex AI | $3.00 | $15.00 | - | Serverless |
Capabilities
Benchmark peer barsfor Vision
Benchmark scores(1)
| Benchmark | Score | Version | Source |
|---|---|---|---|
| Massive Multi-discipline Multimodal Understanding | 53.1 | — | https://mmmu-benchmark.github.io/ |
Migration checks
No linked migration route is available for this model yet.
API versions
claude-3-sonnet-20240229