OpenAI
GPT-5.5
Default frontier GPT for coding, computer use, research, and knowledge work
- Context
- 1.1M
- Max output
- 128K
- Input / 1M
- $5.00
- Output / 1M
- $30.00
- Output speed
- —
Accepts
- Text input
- Image input
- PDF input
Produces
- Text output
AI model comparison
Compare recorded price, context, output limits, speed, latency, capabilities, and input/output support. Every missing value stays visible, and unsourced benchmarks are excluded.
GPT-5.5 and o4-mini-deep-research both come up when teams are choosing a model for production work, and the honest answer usually depends on your workload rather than a leaderboard. This page puts their published specifications side by side — context window, token pricing, supported inputs and outputs — so you can see where they actually differ.
OpenAI
Default frontier GPT for coding, computer use, research, and knowledge work
Accepts
Produces
OpenAI
Research model for long-horizon investigation, synthesis, and analytical reports
Accepts
Produces
At a glance
This is a directional summary of the values recorded in this directory—not a universal quality verdict. Test the finalists on your own prompts before committing.
Where GPT-5.5 leads in recorded data
Where o4-mini-deep-research leads in recorded data
Context capacity
Higher listed limit
GPT-5.5:1.1M
o4-mini-deep-research:200K
GPT-5.5
Maximum output
Higher listed limit
GPT-5.5:128K
o4-mini-deep-research:100K
GPT-5.5
Input price
Lower recorded price
GPT-5.5:$5.00
o4-mini-deep-research:$1.80
o4-mini-deep-research
Output price
Lower recorded price
GPT-5.5:$30.00
o4-mini-deep-research:$7.20
o4-mini-deep-research
Output speed
Higher recorded throughput
GPT-5.5:—
o4-mini-deep-research:—
No complete comparison
Time to first token
Lower recorded latency
GPT-5.5:—
o4-mini-deep-research:—
No complete comparison
Intelligence Index
Higher directory index
GPT-5.5:—
o4-mini-deep-research:—
No complete comparison
Evidence
A score appears only when both records include a verified source. It is not treated as a universal ranking.
Specifications
| Specification | GPT-5.5 | o4-mini-deep-research |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Model family | gpt | o-mini |
| Accepted inputs | text, image, pdf | text, image |
| Produced outputs | text | text |
| Context window | 1.1MRecorded lead | 200K |
| Max output | 128KRecorded lead | 100K |
| Intelligence Index | — | — |
| Input price / 1M | $5.00 | $1.80Recorded lead |
| Output price / 1M | $30.00 | $7.20Recorded lead |
| Output speed | — | — |
| Time to first token | — | — |
| Reasoning mode | Documented | Documented |
| Tool calling | Documented | Documented |
| Image input | Documented | Documented |
| Audio input | Not documented | Not documented |
| Structured output | Documented | Not documented |
| License | Proprietary | Proprietary |
| Released | Apr 23, 2026 | Jun 26, 2024 |
Workload guidance
On the published numbers, GPT-5.5 accepts the larger context window and o4-mini-deep-research is cheaper per input token. Which matters more depends on whether your bottleneck is document size or spend — the table above has the exact figures.
Provenance
Prices and hosted performance can change. SyncDev records source references and clearly separates documented specifications from measured values; confirm commercial terms with the provider before deployment.
GPT-5.5
OpenAI · model record and recorded source
o4-mini-deep-research
OpenAI · model record and recorded source
Choose any two approved model records and review them with the same evidence rules.