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Anthropic: Claude Opus 4
anthropic/claude-opus-4
Claude Opus 4 is benchmarked as the world’s best coding model, at 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.
Recent activity on Claude Opus 4
Tokens processed per day
Thoughput
(tokens/s)
| Providers | Min (tokens/s) | Max (tokens/s) | Avg (tokens/s) |
|---|---|---|---|
| Anthropic | 1.01 | 35.89 | 7.90 |
| Vertex AI | 0.75 | 30.13 | 12.73 |
| Amazon Bedrock | 0.22 | 17.95 | 14.10 |
First Token Latency
(ms)
| Providers | Min (ms) | Max (ms) | Avg (ms) |
|---|---|---|---|
| Anthropic | 1470 | 2259 | 1805.41 |
| Vertex AI | 1788 | 8835 | 4887.91 |
| Amazon Bedrock | 3755 | 4769 | 4155.00 |
Providers for Claude Opus 4
ZenMux Provider to the best providers that are able to handle your prompt size and parameters, with fallbacks to maximize uptime.
Latency
1.45
s
Throughput
5.86
tps
Uptime
100.00
%
Recent uptime
Oct 10,2025 - 3 PM100.00%
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
Cache write
-
Web search
$ 0.01
/ request
Model limitation
Context
200.00K
Max output
32.00K
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
Latency
-
Throughput
-
Uptime
100.00
%
Recent uptime
Oct 10,2025 - 3 PM100.00%
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
-
Cache write
-
Web search
-
Model limitation
Context
200.00K
Max output
32.00K
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
Latency
-
Throughput
-
Uptime
100.00
%
Recent uptime
Oct 10,2025 - 3 PM100.00%
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
-
Cache write
-
Web search
-
Model limitation
Context
200.00K
Max output
32.00K
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 Opus 4
ZenMux normalizes requests and responses across providers for you.
OpenAI-PythonPythonTypeScriptOpenAI-TypeScriptcURL
pythonfrom 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-opus-4", messages=[ { "role": "user", "content": [ { "type": "text", "text": "What is in this image?" } ] } ] ) print(completion.choices[0].message.content)