LLM Reference

Claude 3.5 Sonnet

Released
2024-06-20
Last refreshed
2026-06-15
Status
Researched 90d ago
ProprietaryCommercial use: conditionalMultimodalCodingRAGAgentsLong contextVisionClassificationJSON / Tool use

Claude 3.5 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 4 tracked provider routes

Do not use it for

  • Workloads where another current model has stronger sourced task evidence
Specifications
Released
2024-06-20
Context
200k
Parameters
70B
Architecture
Decoder Only
Knowledge cutoff
2024-04
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 6 routes · Anthropic · cache read $0.300

About

Claude 3.5 Sonnet, the latest in Anthropic's line of large language models, merges state-of-the-art reasoning, coding, and natural language understanding capabilities with advanced multi-modal processing. Released in October 2024, it excels in benchmarks against previous models and competitors, thanks to its scalable attention mechanisms and massive neural network architecture. Its dynamic routing enables specialization in various tasks, supporting applications from software development and data analysis to customer support and content creation. Users benefit from its "Artifacts" feature for real-time collaborative workflows and can access the model through platforms like Claude.ai and APIs at competitive pricing rates.

Claude 3.5 Sonnet is a proprietary model in the Claude 3.5 family. The structured metadata tracks a 200k-token context window, multimodal input, reasoning, function calling, structured outputs, and code execution. This page tracks provider routes through GCP Vertex AI, AWS Bedrock, Anthropic, and 3 more, with the cheapest tracked route listed at $3 input and $15 output per 1M tokens. Headline tracked benchmarks include HellaSwag 96.2, HumanEval 92.0, and Massive Multitask Language Understanding 88.7.

Top use-case fit: coding, agents, and build tasks

Coding

Q/$ D

5 relevant benchmarks in the decision map.

RAG

Included by capability and metadata signals in the decision map.

Agents

Q/$ D

1 relevant benchmark in the decision map.

Provider price ladder

Compare all 6

Compare API pricing across 4 providers for input and output tokens, batch, and cached reads when available.

ProviderInput / 1MOutput / 1MCacheRoute
Anthropic$3.00$15.00read $0.300 / 5m $3.75 / 1h $6.00
Serverless
AWS Bedrock$3.00$15.00-
Serverless
GCP Vertex AI$3.00$15.00-
Serverless
Replicate API$3.00$15.00-
Serverless

Available via routers & gateways(16)

Capabilities

VisionMultimodalReasoningFunction CallingStructured OutputsCode Execution

Benchmark peer barsfor Coding

Benchmark scores(12)

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
HellaSwag96.210-shotObserved 2026-03-06Source
HumanEval92.0pass@1Observed 2026-03-06Source
Massive Multitask Language Understanding88.75-shotObserved 2026-03-06Source
SWE-bench Verified49.02024-10Observed 2026-04-09Source
LiveCodeBench48.72026-04Observed 2026-04-14Source
Aider Polyglot51.62026-04Observed 2026-04-14Source
BigCodeBench44.62025-01 (Instruct Pass@1)Observed 2026-04-14Source
Chatbot Arena1340.0Observed 2026-04-15Source
Massive Multi-discipline Multimodal Understanding68.3Observed 2026-04-15Source
MMLU PRO77.2Observed 2026-04-14Source
MMMU Pro63.7standard 4-option (original paper harness)Observed 2024-09-04Source
Mostly Basic Programming Problems+78.8Observed 2026-05-28Source

Migration checks

No linked migration route is available for this model yet.

Compare Claude 3.5 Sonnet with other models

Show all 3 popular comparisonssorted by 7-day search impressions

Frequently asked questions

What is the context window of Claude 3.5 Sonnet?

Claude 3.5 Sonnet has a context window of 200k tokens.

How much does Claude 3.5 Sonnet cost?

Claude 3.5 Sonnet is available at $3/1M input tokens through GCP Vertex AI.

When was Claude 3.5 Sonnet released?

Claude 3.5 Sonnet was released on 2024-06-20.

Which providers offer Claude 3.5 Sonnet?

Claude 3.5 Sonnet is available from 6 providers: GCP Vertex AI, AWS Bedrock, Anthropic, OpenRouter, Microsoft Foundry, Replicate API.

What benchmarks has Claude 3.5 Sonnet been tested on?

Claude 3.5 Sonnet has been evaluated on 12 benchmarks, including HellaSwag, HumanEval, Massive Multitask Language Understanding, SWE-bench Verified, LiveCodeBench.