# Anthropic: Claude Sonnet 4.6

anthropic/claude-sonnet-4.6

Claude Sonnet 4.6 is Anthropic's most capable Sonnet-class model yet, with frontier performance across coding, agents, and professional work. It excels at iterative development, complex codebase navigation, end-to-end project management with memory, polished document creation, and confident computer use for web QA and workflow automation.

by [Anthropic](/content/anthropic/index.html)

## Recent activity on Claude Sonnet 4.6

### Tokens processed per day

### Throughput

| Providers       | Min (tokens/s) | Max (tokens/s) | Avg (tokens/s) |
|------------------|-----------------|-----------------|-----------------|
| Amazon Bedrock    | 27.57           | 41.19           | 35.19           |
| Anthropic         | 37.61           | 55.09           | 47.53           |
| Google Vertex      | 10.98           | 76.75           | 35.04           |

### First Token Latency

| Providers        | Min (ms) | Max (ms) | Avg (ms) |
|------------------|----------|----------|----------|
| Amazon Bedrock    | 2190     | 4128     | 2956.04  |
| Anthropic         | 3010     | 3952     | 3382.86  |
| Google Vertex      | 1032     | 2194     | 1425.00  |

### Uptime stats for Claude Sonnet 4.6

| Uptime | Providers       |
|--------|------------------|
| 100.00%| Amazon Bedrock    |
| 100.00%| Anthropic         |
| 100.00%| Google Vertex      |

### Pricing
| Item                     | Price           |
|--------------------------|-----------------|
| Input                    | $ 3/ M tokens   |
| Output                   | $ 15/ M tokens  |
| Cache read               | $ 0.3/ M tokens |
| Cache write (5m)        | $ 3.75/ M tokens|
| Cache write (1h)        | $ 6/ M tokens   |
| Web search               | $ 0.01/ counts  |

### Model limitation

| Context         | Max output |
|------------------|------------|
| 1000.00K        | 64.00K     |

### Sample code and API for Claude Sonnet 4.6

ZenMux normalizes requests and responses across providers for you.

```python
from openai import OpenAI

client = OpenAI(
  base_url="https://zenmux.ai/api/v1",
  api_key="<ZENMUX_API_KEY>",
)

# Chat Completion
completion = client.chat.completions.create(
  model="anthropic/claude-sonnet-4.6",
  messages=[
    {
      "role": "user",
      "content": "What is the meaning of life?"
    }
  ]
)
print(completion.choices[0].message.content)

# Responses API
responses = client.responses.create(
  model="anthropic/claude-sonnet-4.6",
  input="What is the meaning of life?"
)
print(responses)
```