Claude Sonnet 5
anthropic • text
Sonnet 5 is Anthropic's most capable Sonnet-class model, with frontier performance across coding, agents, and professional work. It supports adaptive thinking with selectable reasoning effort levels (low, medium, high, max,...
Specifications
Context Window
1.0M tokens
Input Price/1M
$3.00
Output Price/1M
$15.00
Parameters
—
Speed
61 tok/s
Latency (TTFT)
6.4s
Max Output
128K tokens
Benchmarks
Claude Sonnet 5 results on the main AI model evaluation benchmarks. Higher scores indicate better performance.
Coding
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA Coding Index | 71.5 | 100.0 | Artificial Analysis official API |
| SciCode | 54.0 | 100.0 | — |
Long Context
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA-LCR | 71.0 | 100.0 | — |
overall
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA Intelligence Index | 53.4 | 100.0 | Artificial Analysis official API |
Reasoning
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| GPQA Diamond | 91.0 | 100.0 | Artificial Analysis official API |
| HLE | 40.0 | 100.0 | — |
Information
- Release date
- June 30, 2026
- Tool Calling
- ✅ Supported
- Vision
- ✅ Supported
- Audio
- ❌ Not supported
Full Analysis: Claude Sonnet 5
What is Claude Sonnet 5?
Claude Sonnet 5 is an AI model developed by anthropic, classified as a text model. It focuses on text processing and natural language generation. As a proprietary model, it is available via anthropic's cloud API. With a context window of 1.0M tokens, it is suitable for processing long documents such as contracts, books, and complete codebases.
Pricing & Costs in 2026
Claude Sonnet 5 is usage-based, priced at $3/1M input tokens and $15/1M output tokens. For context: 1 million tokens is approximately 750,000 words, or about 10 average-length books. The mid-range pricing balances quality and cost for most professional applications.
Benchmarks & Performance
Claude Sonnet 5 was evaluated on 6 different benchmarks, covering categories like Coding, Long Context, overall, Reasoning. Results show exceptional performance across available evaluations.
It's important to note that benchmarks measure specific aspects and don't capture the full user experience. Factors like instruction adherence, behavior in long conversations, and real-world task quality vary significantly between models and aren't always reflected in standard scores.
Recommended Use Cases
Claude Sonnet 5 specializes in text, offering advanced capabilities for creating and processing text content.
Comparison with Alternatives
In the 2026 AI model ecosystem, Claude Sonnet 5 competes directly with similarly capable models. anthropic competes in this segment against OpenAI, Anthropic, Google, and Meta. The choice between models depends on the specific use case, budget, latency requirements, and need for features like multimodality and tool calling.
For a detailed side-by-side comparison, use our comparison tool or check the overall model ranking.
Frequently Asked Questions
What is Claude Sonnet 5?
Claude Sonnet 5 is an AI model developed by anthropic. It is a text model.
How much does Claude Sonnet 5 cost?
Claude Sonnet 5 costs $3/1M input tokens and $15/1M output tokens. For heavy usage (e.g., a chatbot handling 100k messages/month), costs can range from $10 to $1,000 depending on volume.
How does Claude Sonnet 5 compare with other models?
In available benchmarks, Claude Sonnet 5 scored: AA Coding Index: 71.5/100, SciCode: 54/100, AA-LCR: 71/100. See the full table above for a detailed comparison.
Is Claude Sonnet 5 open source?
No, Claude Sonnet 5 is a proprietary model from anthropic. It is available via cloud API. For open source alternatives, check our open source model ranking.
What is Claude Sonnet 5 best for?
Claude Sonnet 5 excels at multimodal tasks including text and vision. With its large context window, it handles long documents, codebases, and extended conversations. It supports tool calling for API integrations and automation.
Last updated: July 03, 2026 • View methodology →