OpenAI
GPT-5.5
model
gpt-5.5PremiumStableVisionStreamingVisionToolsBatchLong contextUnited States
Context
1.1M
Input / 1M tokens
$5.00
Output / 1M tokens
$30.00
Cached input / 1M tokens
$1.18
Cache write / 1M tokens
— (bills at input price)
About this model
GPT-5.5
GPT-5.5 is OpenAI's flagship reasoning model — the highest-quality option for complex multi-step work. Best when accuracy matters more than cost. Strong on math, science, and long-form analysis with a 1M-token context window.
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
- $5.00 per 1M tokens
- Output price
- $30.00 per 1M tokens
- Processing region(s)
- us
- Route
- Via OpenAI's API
- Cheapest plan
- Available from the Pro plan
- Price comparison
- Priced below 16 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
Ways to call
Ways to call GPT-5.5
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-5.5 | Via OpenAI's API | $5.00 / $30.00 | us | Guarded | 1.1M |
| gpt-5-5-openrouter | Via OpenRouter | $5.00 / $30.00 | global | Guarded | 1.1M |
Best for
Use cases
- Hard reasoning + multi-step planning
- Math, science, and research summarization
- Long-document analysis (1M context)
- High-stakes agentic workflows
Strengths
What it does well
- Top-tier reasoning + math
- 1M-token context window
- Native tool calling + JSON mode
- Vision built in
Limitations
Know the trade-offs
- Premium pricing — reserve for genuinely hard tasks
- Higher latency than GPT-4o (1–3 s TTFT typical)
- Output tokens charged at $30/Mtok
Code example
Chat completion with GPT-5.5
from openai import OpenAI
client = OpenAI(
base_url="https://api.anoman.io/v1",
api_key="anm-sk-..."
)
response = client.chat.completions.create(
model="gpt-5.5",
messages=[{"role": "user", "content": "Hello!"}]
)
print(response.choices[0].message.content)Alternatives
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