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OpenAI: GPT-5
openai/gpt-5
GPT-5 is OpenAI’s most advanced model, offering major improvements in reasoning, code quality, and user experience. It is optimized for complex tasks that require step-by-step reasoning, instruction following, and accuracy in high-stakes use cases. It supports test-time routing features and advanced prompt understanding, including user-specified intent like "think hard about this." Improvements include reductions in hallucination, sycophancy, and better performance in coding, writing, and health-related tasks.
Recent activity on GPT-5
Tokens processed per day
Thoughput
(tokens/s)
| Providers | Min (tokens/s) | Max (tokens/s) | Avg (tokens/s) |
|---|---|---|---|
| OpenAI | 1.84 | 62.57 | 21.28 |
| Azure | 6.14 | 91.3 | 51.94 |
First Token Latency
(ms)
| Providers | Min (ms) | Max (ms) | Avg (ms) |
|---|---|---|---|
| OpenAI | 1446 | 9118 | 3393.76 |
| Azure | 1844 | 26518 | 12012.13 |
Providers for GPT-5
ZenMux Provider to the best providers that are able to handle your prompt size and parameters, with fallbacks to maximize uptime.
Latency
9.71
s
Throughput
24.28
tps
Uptime
100.00
%
Recent uptime
Oct 10,2025 - 3 PM100.00%
Price
Input
$ 1.25
/ M tokens
Output
$ 10
/ M tokens
Cache read
$ 0.125
/ M tokens
Cache write 5m
-
Cache write 1h
-
Cache write
-
Web search
-
Model limitation
Context
400.00K
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
-
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
$ 1.25
/ M tokens
Output
$ 10
/ M tokens
Cache read
$ 0.125
/ M tokens
Cache write 5m
-
Cache write 1h
-
Cache write
-
Web search
-
Model limitation
Context
400.00K
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
-
Model Protocol Compatibility
openai
anthropic
-
Data policy
Prompt training
false
Prompt Logging
30 day retention
Moderation
Responsibility of developer
Status Page
status page
Sample code and API for GPT-5
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="openai/gpt-5", messages=[ { "role": "user", "content": [ { "type": "text", "text": "What is in this image?" } ] } ] ) print(completion.choices[0].message.content)