Anthropic: Claude 3.5 Sonnet
Analysis Summary
Claude 3.5 Sonnet is Anthropic's mid-2024 flagship, combining strong coding performance (index 30.2, livecodebench 0.381) with vision, tool use, function calling, and a 200K context window. MMLU Pro of 0.772 reflects broad knowledge coverage, and the model handles file inputs alongside text and images, making it one of the more capable multimodal options at this tier.
For businesses, it is a strong fit for software engineering assistance, code review, long-document analysis, and client-facing content generation. The combination of coding strength, vision, and large context makes it versatile across technical and editorial workflows. Its intelligence index of 15.9 is lower than newer generation models, so it is not the right choice for the hardest reasoning tasks.
At $6.00 input and $30.00 output per million tokens, it is expensive. Teams should reserve it for high-value tasks where coding quality and multimodal capability justify the cost, and pair it with a cheaper model for routine or high-volume calls.
Assessed June 6, 2026
Editorial notes
Claude 3.5 Sonnet from Anthropic delivers strong coding capability (coding index 30.2), vision, tool use, and a 200K context window, making it a reliable choice for software engineering and client-facing content workflows.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
Performance Profile
How Anthropic: Claude 3.5 Sonnet compares
Anthropic: Claude 3.5 Sonnet ranks #222 of 378 AI models we track for overall intelligence, #86 of 315 for coding. Its 200K-token context window is larger than 66% of the models we list. At $6.00 per million input tokens it is cheaper than 4% of comparable models.
About Anthropic: Claude 3.5 Sonnet
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
Capabilities
Benchmark Scores
Intelligence
Technical
Benchmark data from Artificial Analysis and Hugging Face
How does Anthropic: Claude 3.5 Sonnet stack up?
Compare side-by-side with other professional models.
Model Information
| OpenRouter ID |
anthropic/claude-3.5-sonnet
|
| Provider | anthropic |
| Model Family | Claude 3.5 |
| Release Date | October 22, 2024 |
| Context Length | 200,000 tokens |
| Max Completion | 8,192 tokens |
| Status | Active |
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $6.00 | $0.006000 |
| Output | $30.00 | $0.030000 |
Leaderboard Categories
External Resources
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Frequently asked questions about Anthropic: Claude 3.5 Sonnet
How much does Anthropic: Claude 3.5 Sonnet cost?
Anthropic: Claude 3.5 Sonnet costs $6.00 per million input tokens and $30.00 per million output tokens.
What is the context window of Anthropic: Claude 3.5 Sonnet?
Anthropic: Claude 3.5 Sonnet has a context window of 200,000 tokens (200K).
Is Anthropic: Claude 3.5 Sonnet good for coding?
On our coding benchmark index, Anthropic: Claude 3.5 Sonnet ranks #86 of 315 models, placing it in the broader range of the field for code generation and debugging.
What can Anthropic: Claude 3.5 Sonnet do?
Anthropic: Claude 3.5 Sonnet supports image/vision input, tool use, and function calling.
Who created Anthropic: Claude 3.5 Sonnet?
Anthropic: Claude 3.5 Sonnet is developed by Anthropic and was released on October 22, 2024.
Data sourced from OpenRouter API, Artificial Analysis and Hugging Face Open LLM Leaderboard. Scores are editorially curated by our team.
Last updated: June 11, 2026 8:38 pm