OpenAI
GPT-5.4
model
gpt-5.4MidStableVisionStreamingVisionToolsBatchLong contextUnited States
Context
1.1M
Input / 1M tokens
$2.50
Output / 1M tokens
$15.00
Cached input / 1M tokens
$0.5875
Cache write / 1M tokens
— (bills at input price)
About this model
GPT-5.4
GPT-5.4 is OpenAI's mid-tier flagship — near-GPT-5.5 quality at half the price. The default workhorse choice when you want strong reasoning without paying premium rates.
Key facts
- Maker
- OpenAI
- Context window
- 1.1M 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
- $2.50 per 1M tokens
- Output price
- $15.00 per 1M tokens
- Processing region(s)
- us
- Route
- Via OpenAI's API
- Cheapest plan
- Available from the Pro plan
- Price comparison
- Priced below 22 of 235 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
Ways to call
Ways to call GPT-5.4
Each model ID below is callable through the Anoman AI API. Price and processing region depend on the route.
| Model ID | Route | Input / output per 1M tokens | Region(s) | Lane | Context |
|---|---|---|---|---|---|
| gpt-5.4 | Via OpenAI's API | $2.50 / $15.00 | us | Guarded | 1.1M |
| gpt-5-4-openrouter | Via OpenRouter | $2.50 / $15.00 | global | Guarded | 1.1M |
Best for
Use cases
- Production AI assistants
- Multi-step reasoning at scale
- Document analysis + extraction
- Tool-using agents
Strengths
What it does well
- Near-5.5 quality at significantly lower cost
- 1M-token context window
- Strong tool calling + structured output
- Reliable at high throughput
Limitations
Know the trade-offs
- Trails 5.5 on the very hardest reasoning
- Output tokens $15/Mtok — set max_tokens carefully
Code example
Chat completion with GPT-5.4
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",
messages=[{"role": "user", "content": "Hello!"}]
)
print(response.choices[0].message.content)Alternatives
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