Anthropic: Claude 3.7 Sonnet
anthropic/claude-3.7-sonnet
Claude 3.7 Sonnet is an advanced large language model with improved reasoning, coding, and problem-solving capabilities. It introduces a hybrid reasoning approach, allowing users to choose between rapid responses and extended, step-by-step processing for complex tasks. The model demonstrates notable improvements in coding, particularly in front-end development and full-stack updates, and excels in agentic workflows, where it can autonomously navigate multi-step processes. Claude 3.7 Sonnet maintains performance parity with its predecessor in standard mode while offering an extended reasoning mode for enhanced accuracy in math, coding, and instruction-following tasks.
ByanthropicInput typeOutput type
Recent activity on Claude 3.7 Sonnet
Tokens processed per day
Thoughput
(tokens/s)
ProvidersMin (tokens/s)Max (tokens/s)Avg (tokens/s)
Anthropic4.514412.44
Vertex AI4.8856.2822.66
Amazon Bedrock36.2548.0644.80
First Token Latency
(ms)
ProvidersMin (ms)Max (ms)Avg (ms)
Anthropic70535931960.97
Vertex AI765399809927.54
Amazon Bedrock152435012152.00
Providers for Claude 3.7 Sonnet
ZenMux Provider to the best providers that are able to handle your prompt size and parameters, with fallbacks to maximize uptime.
Anthropic
Latency
0.82
s
Throughput
17.84
tps
Uptime
100.00
%
Recent uptime
Oct 10,2025 - 3 PM100.00%
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
Cache write
-
Web search
$ 0.01
/ request
Model limitation
Context
200.00K
Max output
64.00K
Supported Parameters
max_completion_tokens
temperature
top_p
frequency_penalty
-
presence_penalty
-
seed
-
logit_bias
-
logprobs
-
top_logprobs
-
response_format
-
stop
tools
tool_choice
parallel_tool_calls
-
Model Protocol Compatibility
openai
anthropic
Data policy
Prompt training
false
Prompt Logging
Zero retention
Moderation
Responsibility of developer
Status Page
status page
Amazon Bedrock
Latency
-
Throughput
-
Uptime
100.00
%
Recent uptime
Oct 10,2025 - 3 PM100.00%
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
-
Cache write
-
Web search
-
Model limitation
Context
200.00K
Max output
64.00K
Supported Parameters
max_completion_tokens
temperature
top_p
frequency_penalty
-
presence_penalty
-
seed
-
logit_bias
-
logprobs
-
top_logprobs
-
response_format
-
stop
tools
tool_choice
parallel_tool_calls
-
Model Protocol Compatibility
openai
anthropic
Data policy
Prompt training
false
Prompt Logging
Zero retention
Moderation
Responsibility of developer
Status Page
status page
Vertex AI
Latency
-
Throughput
-
Uptime
100.00
%
Recent uptime
Oct 10,2025 - 3 PM100.00%
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
-
Cache write
-
Web search
-
Model limitation
Context
200.00K
Max output
64.00K
Supported Parameters
max_completion_tokens
temperature
top_p
frequency_penalty
-
presence_penalty
-
seed
-
logit_bias
-
logprobs
-
top_logprobs
-
response_format
-
stop
tools
tool_choice
parallel_tool_calls
-
Model Protocol Compatibility
openai
anthropic
Data policy
Prompt training
false
Prompt Logging
Zero retention
Moderation
Responsibility of developer
Status Page
status page
Sample code and API for Claude 3.7 Sonnet
ZenMux normalizes requests and responses across providers for you.
OpenAI-PythonPythonTypeScriptOpenAI-TypeScriptcURL
python
from openai import OpenAI

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

completion = client.chat.completions.create(
  model="anthropic/claude-3.7-sonnet",
  messages=[
    {
      "role": "user",
      "content": [
        {
          "type": "text",
          "text": "What is in this image?"
        }
      ]
    }
  ]
)
print(completion.choices[0].message.content)