Anthropic: Claude Opus 4.7

anthropic/claude-opus-4.7

Opus 4.7 is the next generation of Anthropic's Opus family, built for long-running, asynchronous agents. Building on the coding and agentic strengths of Opus 4.6, it delivers stronger performance on complex, multi-step tasks and more reliable agentic execution across extended workflows. It is especially effective for asynchronous agent pipelines where tasks unfold over time - large codebases, multi-stage debugging, and end-to-end project orchestration.

Beyond coding, Opus 4.7 brings improved knowledge work capabilities - from drafting documents and building presentations to analyzing data. It maintains coherence across very long outputs and extended sessions, making it a strong default for tasks that require persistence, judgment, and follow-through.

by Anthropic Input typeOutput typePublish time2026-04-16

Recent activity on Claude Opus 4.7

Tokens processed per day

Throughput

(tokens/s)

Providers Min (tokens/s) Max (tokens/s) Avg (tokens/s)
Google Vertex 25.98 121.43 53.99
Anthropic 54.19 60.28 57.15
Amazon Bedrock 31.73 66.49 54.02

First Token Latency

(ms)

Providers Min (ms) Max (ms) Avg (ms)
Google Vertex 1269 14483 4738.27
Anthropic 3152 4313 3905.92
Amazon Bedrock 2328 4976 2833.54

Uptime stats for Claude Opus 4.7

Uptime stats for Claude Opus 4.7 across all providers

Uptime

Amazon BedrockAnthropicGoogle Vertex

( Percent )

Providers for Claude Opus 4.7

ZenMux Provider to the best providers that are able to handle your prompt size and parameters, with fallbacks to maximize uptime.

Anthropic

Latency

4.02

s

Throughput

55.14 tps

Uptime

100.00

%

Recent uptime Apr 30, 2026 6:00 PM-

Price

Input

$ 5/ M tokens

Output

$ 25/ M tokens

Cache read

$ 0.5/ M tokens

Cache write 5m

$ 6.25/ M tokens

Cache write 1h

$ 10/ M tokens

Cache write

Web search

$ 0.01/ counts

Model limitation

Context

1000.00K

Max output

128.00K

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

Sample code and API for Claude Opus 4.7

ZenMux normalizes requests and responses across providers for you.

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-opus-4.7",
  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-opus-4.7",
  input="What is the meaning of life?"
)
print(responses)