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OpenAI: GPT-5 Mini
openai/gpt-5-mini
GPT-5 Mini is a compact version of GPT-5, designed to handle lighter-weight reasoning tasks. It provides the same instruction-following and safety-tuning benefits as GPT-5, but with reduced latency and cost. GPT-5 Mini is the successor to OpenAI's o4-mini model.
Recent activity on GPT-5 Mini
Tokens processed per day
Thoughput
(tokens/s)
| Providers | Min (tokens/s) | Max (tokens/s) | Avg (tokens/s) |
|---|---|---|---|
| OpenAI | 2.84 | 66.75 | 8.41 |
| Azure | 78.7 | 111.45 | 87.20 |
First Token Latency
(ms)
| Providers | Min (ms) | Max (ms) | Avg (ms) |
|---|---|---|---|
| OpenAI | 1973 | 9131 | 2813.97 |
| Azure | 5799 | 16881 | 10857.60 |
Providers for GPT-5 Mini
ZenMux Provider to the best providers that are able to handle your prompt size and parameters, with fallbacks to maximize uptime.
Latency
2.32
s
Throughput
3.59
tps
Uptime
100.00
%
Recent uptime
Oct 10,2025 - 3 PM100.00%
Price
Input
$ 0.25
/ M tokens
Output
$ 2
/ M tokens
Cache read
$ 0.025
/ M tokens
Cache write 5m
-
Cache write 1h
-
Cache write
-
Web search
$ 0.01
/ request
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
$ 0.25
/ M tokens
Output
$ 2
/ M tokens
Cache read
$ 0.025
/ 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 Mini
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-mini", messages=[ { "role": "user", "content": [ { "type": "text", "text": "What is in this image?" } ] } ] ) print(completion.choices[0].message.content)