OpenAI
GPT-5.4 Mini
model
gpt-5.4-miniMidStableVisionStreamingVisionToolsBatchLong contextUnited States
Context
272K
Input / 1M tokens
$0.7500
Output / 1M tokens
$4.50
Cached input / 1M tokens
$0.1763
Cache write / 1M tokens
β (bills at input price)
About this model
GPT-5.4 Mini
GPT-5.4 Mini β OpenAI's cost-optimized 5.x tier. Strong reasoning per dollar; the right pick for high-volume agentic workloads where 5.4 is overkill.
Key facts
- Maker
- OpenAI
- Context window
- 272K tokens
- Max output
- 128K tokens
- Lane
- Guarded: the provider has confirmed it does not train on your data
- Modality
- Text and image input
- Input price
- $0.7500 per 1M tokens
- Output price
- $4.50 per 1M tokens
- Processing region(s)
- us
- Route
- Via OpenAI's API
- Cheapest plan
- Available from the Pro plan
- Price comparison
- Priced below 100 of 261 pro-band guarded models on Anoman (blended price: 1 part input to 3 parts output).
Released
2026-01
Training cutoff
2024-11
Parameters
Not disclosed
Best for
Use cases
- High-volume agentic workloads
- Routing + classification
- Cost-sensitive production chat
Strengths
What it does well
- Sub-second TTFT typical
- Same tool calling reliability as full 5.4
- 400K context window
Limitations
Know the trade-offs
- Reasoning depth trails 5.4 on hard math
- Not a Mini replacement for Opus-class tasks
Code example
Chat completion with GPT-5.4 Mini
from openai import OpenAI
client = OpenAI(
base_url="https://api.anoman.io/v1",
api_key="anm-sk-..."
)
response = client.chat.completions.create(
model="gpt-5.4-mini",
messages=[{"role": "user", "content": "Hello!"}]
)
print(response.choices[0].message.content)Alternatives
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