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Anthropic: Claude 3.5 Sonnet

by Anthropic

New Claude 3.5 Sonnet delivers better-than-Opus capabilities, faster-than-Sonnet speeds, at the same Sonnet prices. Sonnet is particularly good at: - Coding: Scores ~49% on SWE-Bench Verified, higher than the last best score, and without any fancy prompt scaffolding - Data science: Augments human data science expertise; navigates unstructured data while using multiple tools for insights - Visual processing: excelling at interpreting charts, graphs, and images, accurately transcribing text to derive insights beyond just the text alone - Agentic tasks: exceptional tool use, making it great at agentic tasks (i.e. complex, multi-step problem solving tasks that require engaging with other systems) #multimodal

Avg Score

82.9%

14 answers

Avg Latency

17.7s

10 runs

Pricing

$6.00

input

/

$30.00

output

per 1M tokens

Context

200K

tokens

Alternatives

Models with similar or better quality but different tradeoffs

No alternatives found

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Other Models from Anthropic

Compare performance with other models from the same creator

ModelScoreLatencyCost/1M
Anthropic: Claude 3.7 Sonnet95.7%44.5s$9.00
Anthropic: Claude Opus 491.8%60.9s$45.00
Anthropic: Claude 3.7 Sonnet86.1%16.3s$9.00
Anthropic: Claude Opus 4.585.3%28.8s$15.00
Anthropic: Claude Sonnet 484.0%31.0s$9.00
Anthropic: Claude Sonnet 4.582.4%20.5s$9.00
Anthropic: Claude Opus 4.182.1%79.9s$45.00
Anthropic: Claude Haiku 4.580.0%11.3s$3.00
Anthropic: Claude 3.5 Haiku72.6%7.5s$2.40
Anthropic: Claude 3 Haiku63.3%3.4s$0.75
Anthropic: Claude 3.5 Haiku (2024-10-22)——$2.40

Benchmark Performance

How this model performs across different benchmarks

No benchmark data available

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Price vs Performance

Compare cost efficiency across all models

Current model (baseline)
Other models (relative score)
Y-axis shows score difference from shared benchmarks. X-axis uses log scale.

Score Over Time

Performance trends across all benchmark runs

Benchmark Activity

Number of benchmark runs over time

Quickstart

Get started with this model using OpenRouter

View on OpenRouter
import { OpenRouter } from "@openrouter/sdk";

const openrouter = new OpenRouter({
  apiKey: "<OPENROUTER_API_KEY>"
});

const completion = await openrouter.chat.completions.create({
  model: "anthropic/claude-3.5-sonnet",
  messages: [
    {
      role: "user",
      content: "Hello!"
    }
  ]
});

console.log(completion.choices[0].message.content);

Get your API key at openrouter.ai/keys