Anthropic: Claude Opus 4

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Retirement Notices

Claude Sonnet 4 will be retired by both providers: AWS Bedrock and Anthropic on June 14, 2026. We recommend upgrading to Claude Sonnet 4.6.
Claude Opus 4 will be retired by both providers: AWS Bedrock on May 31, 2026, and Anthropic on June 14, 2026. We recommend upgrading to Claude opus 4.7.
Qwen3 Max Thinking Preview will be deprecated and removed on April 24, 2026. We recommend upgrading to Qwen3-Max-Thinking.
On Azure, gpt-5-chat will be deprecated and removed on May 15, 2026.
Claude 3.7 Sonnet will be retired by both providers: AWS Bedrock on April 28, 2026, and Google Cloud Vertex AI on May 11, 2026. We recommend upgrading to Claude Sonnet 4.6.

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Claude Opus 4

Overview

Claude Opus 4 is benchmarked as the world’s best coding model, at the time of release, bringing sustained performance on complex, long-running tasks and agent workflows. It sets new benchmarks in software engineering, achieving leading results on SWE-bench (72.5%) and Terminal-bench (43.2%). Opus 4 supports extended, agentic workflows, handling thousands of task steps continuously for hours without degradation.

By Anthropic

Recent Activity

Tokens processed per day

Throughput

Providers	Min (tokens/s)	Max (tokens/s)	Avg (tokens/s)
Amazon Bedrock	3.01	20.3	12.04
Anthropic	16.38	52.28	30.13
Google Vertex	6.64	6.64	6.64

First Token Latency

Providers	Min (ms)	Max (ms)	Avg (ms)
Amazon Bedrock	3787	29763	7092.56
Anthropic	2107	9690	3698.35
Google Vertex	3925	3925	3925.00

Uptime Stats for Claude Opus 4

Uptime stats for Claude Opus 4 across all providers.

Providers	Uptime(%)
Amazon Bedrock	100.00
Anthropic	100.00
Google Vertex	-

Pricing

Pricing Component	Price
Input	$15/M tokens
Output	$75/M tokens
Cache read	$1.5/M tokens
Cache write 5m	$18.75/M tokens
Cache write 1h	$30/M tokens

Model Compatibility

OpenAI Chat Completions
Anthropic Messages
Google Gemini
Google Imagen
Google Video

API Sample for Claude Opus 4

ZenMux normalizes requests and responses across providers for you.

Python Example:

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",
  messages=[
    {
      "role": "user",
      "content": "What is the meaning of life?"
    }
  ]
)
print(completion.choices[0].message.content)