GPT-5.5 (batch)
by OpenAI · openai/gpt-5.5:batch · #376 cheapest of 422 paid models
Prices updated Sep 20, 2026, 12:34 AM UTC · refreshed hourly
GPT-5.5 is OpenAI’s frontier model designed for complex professional workloads, building on GPT-5.4 with stronger reasoning, higher reliability, and improved token efficiency on hard tasks. It features a 1M+ token...
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Pricing
Input
$2.50
per 1M tokens
Output
$15.00
per 1M tokens
Blended (3:1)
$5.63
3 input : 1 output
Cache read
$0.25
per 1M cached tokens
Cache write
—
per 1M tokens
Cache & batch economics
Effective prices for GPT-5.5 (batch) with prompt caching.
| Cache hit rate | Effective blended $/1M | Example request* | vs no cache |
|---|---|---|---|
| 0% | $5.63 | $0.27 | — |
| 50% | $4.78 | $0.1575 | −42% |
| 90% | $4.11 | $0.0675 | −75% |
*Example: 100K sticky context + 2K new input + 1K output. Batch discount is an approximate 50% off list rates for this provider’s batch API. Confirm on the vendor’s pricing page.
What a request costs
| Workload | Input tokens | Output tokens | Cost / request | Cost / 1K requests |
|---|---|---|---|---|
| Short chat message | 500 | 300 | $0.00575 | $5.75 |
| Document summary | 8,000 | 1,000 | $0.035 | $35.00 |
| Codebase question (RAG) | 30,000 | 2,000 | $0.105 | $105.00 |
| Long-context analysis | 150,000 | 5,000 | $0.45 | $450.00 |
Performance
Intelligence Index
38.4
AA composite quality
Coding Index
74.9
Math Index
—
Agentic Index
37.3
Output speed
0 tok/s
median
Time to first token
0s
median
Time to first answer
0s
after reasoning tokens
Artificial Analysis benchmarks
| Benchmark | Score |
|---|---|
| GPQA Diamond | 93.5% |
| Humanity's Last Exam | 45.8% |
| SciCode | 55.8% |
| IFBench | 75.9% |
| AA-LCR (Long Context Reasoning) | 84.3% |
| Terminal-Bench Hard | 60.6% |
| Terminal-Bench 2.1 | 84.3% |
| τ²-Bench (Telecom) | 93.9% |
| τ³-Bench Banking | 39.0% |
Design Arena Elo
| Category | Elo |
|---|---|
| Website | 1,269 |
| Web apps | 1,132 |
| Full-stack | 1,099 |
| Mobile apps | 1,171 |
| Android native | 1,174 |
| UI components | 1,272 |
| Data viz | 1,273 |
| SVG | 1,261 |
| 3D | 1,226 |
| Game dev | 1,320 |
| Agentic game dev | 1,179 |
| Godot game dev | 1,183 |
| HTML slides | 1,070 |
| PPTX slides | 1,157 |
| Python→PPTX slides | 1,152 |
| Agentic slides | 1,150 |
| Agentic HTML slides | 1,084 |
| Agentic slides (HTML) | 1,077 |
| Agentic slides (Python PPTX) | 1,155 |
| Code categories | 1,274 |
| ASCII art | 1,277 |
Specs
Context window
1.05M
tokens
Max output
128K
tokens
Input modalities
file, image, text
Tokenizer
GPT