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OpenAI: GPT-4o-mini
openai/gpt-4o-mini
GPT-4o mini is OpenAI's newest model after [GPT-4 Omni](/models/openai/gpt-4o), supporting both text and image inputs with text outputs.
As their most advanced small model, it is many multiples more affordable than other recent frontier models, and more than 60% cheaper than [GPT-3.5 Turbo](/models/openai/gpt-3.5-turbo). It maintains SOTA intelligence, while being significantly more cost-effective.
GPT-4o mini achieves an 82% score on MMLU and presently ranks higher than GPT-4 on chat preferences [common leaderboards](https://arena.lmsys.org/).
#multimodal
Recent activity on GPT-4o-mini
Tokens processed per day
Thoughput
(tokens/s)
| Providers | Min (tokens/s) | Max (tokens/s) | Avg (tokens/s) |
|---|---|---|---|
| Azure | 6.17 | 82.63 | 24.64 |
| OpenAI | 8.3 | 44.26 | 13.64 |
First Token Latency
(ms)
| Providers | Min (ms) | Max (ms) | Avg (ms) |
|---|---|---|---|
| Azure | 1299 | 2742 | 1547.46 |
| OpenAI | 642 | 814 | 719.82 |
Providers for GPT-4o-mini
ZenMux Provider to the best providers that are able to handle your prompt size and parameters, with fallbacks to maximize uptime.
Latency
-
Throughput
-
Uptime
100.00
%
Recent uptime
Oct 10,2025 - 3 PM100.00%
Price
Input
$ 0.15
/ M tokens
Output
$ 0.6
/ M tokens
Cache read
$ 0.075
/ M tokens
Cache write 5m
-
Cache write 1h
-
Cache write
-
Web search
-
Model limitation
Context
128.00K
Max output
16.38K
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
Latency
0.74
s
Throughput
9.56
tps
Uptime
100.00
%
Recent uptime
Oct 10,2025 - 3 PM100.00%
Price
Input
$ 0.15
/ M tokens
Output
$ 0.6
/ M tokens
Cache read
$ 0.075
/ M tokens
Cache write 5m
-
Cache write 1h
-
Cache write
-
Web search
-
Model limitation
Context
128.00K
Max output
16.38K
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 GPT-4o-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-4o-mini", messages=[ { "role": "user", "content": [ { "type": "text", "text": "What is in this image?" } ] } ] ) print(completion.choices[0].message.content)