openai
OpenAI: GPT-5.5 (batch)
This AI model from OpenAI is designed for processing large amounts of text, with a context length of 1,050,000 tokens and a maximum completion size of 128,000 tokens. It supports multiple input modalities, including files, images, and text. Given its price point, this model may be worth considering by those who require a robust text processing capability at an output price of $15 per million tokens. Its benchmark standing is notable, with a blended score of 83.3 across two independent benchmarks, although the extent to which it excels in specific areas remains unclear due to incomplete coverage.
Quality Score
100/100
price + capability + benchmarks
Input Price
$2.50
per 1M tokens · checked 2026-09-27
Output Price
$15.00
per 1M tokens · checked 2026-09-27
Context Window
1,050,000
tokens
Benchmark results
Independent, published benchmarks. Blended score 80.3 across 2 benchmarks, last refreshed 2026-09-27. How scoring works →
| Benchmark | Measures | Score |
|---|---|---|
| AI Index | broad capability composite | 63.3 |
| EQ-Bench | emotional understanding in dialogue | 82.4 |
- Model ID
- openai/gpt-5.5:batch
- Vendor
- openai
- Released
- April 2026
- Tokenizer
- GPT
- Input Modalities
- file, image, text
- Output Modalities
- text
- Max Output
- 128,000 tokens
- Tool Calling
- ✓ supported
- Structured Output
- ✓ supported
- Reasoning Mode
- ✓ supported
- Vision
- ✓ accepts images
- Audio
- no
- Moderated
- yes
What it costs in practice
Computed from the current $2.50/M input and $15.00/M output rates. Run your own numbers →
| Job | Tokens | Cost |
|---|---|---|
| Summarize a 50-page report | 30k in / 1.5k out | $0.10 |
| Classify 1,000 customer emails | 500k in / 50k out | $2.00 |
| A month of a busy support chatbot | 5M in / 2M out | $42.50 |
Category rankings
Where OpenAI: GPT-5.5 (batch) places across the 50 categories it ranks in. How we rank →
| # | Category | Score |
|---|---|---|
| #8 | Code RefactoringCode · of 25 ranked | 156 |
| #8 | ETL ScriptingData · of 25 ranked | 145 |
| #8 | Long-Document SummarizationWriting · of 25 ranked | 157 |
| #8 | Creative WritingWriting · of 25 ranked | 149 |
| #8 | Screenwriting & DialogWriting · of 25 ranked | 149 |
| #8 | Academic WritingWriting · of 25 ranked | 149 |
| #8 | Legal DraftingProfessional · of 25 ranked | 149 |
| #8 | Legal ResearchProfessional · of 25 ranked | 161 |
| #8 | Contract ReviewProfessional · of 25 ranked | 165 |
| #8 | Medical Note SummarizationProfessional · of 25 ranked | 145 |
| #8 | Scientific ResearchProfessional · of 25 ranked | 161 |
| #8 | History TutoringEducation · of 25 ranked | 141 |
| #8 | OKRs & Strategic PlanningBusiness · of 25 ranked | 149 |
| #8 | RAG PipelinesAgents · of 25 ranked | 156 |
| #8 | Long-Context Q&AAgents · of 25 ranked | 152 |
| #8 | Fiction CollaboratorPersonal · of 25 ranked | 161 |
| #8 | Math ProofsResearch · of 25 ranked | 149 |
| #8 | Literature ReviewResearch · of 25 ranked | 161 |
| #9 | Character RoleplayPersonal · of 25 ranked | 145 |
| #10 | Code ReviewCode · of 25 ranked | 153 |
| #10 | Bug FixingCode · of 25 ranked | 157 |
| #10 | Physics TutoringEducation · of 25 ranked | 138 |
| #10 | Essay GradingEducation · of 25 ranked | 153 |
| #10 | RFP ResponseBusiness · of 25 ranked | 160 |
| #10 | Scientific CodingResearch · of 25 ranked | 157 |
| #11 | Blog Post WritingWriting · of 25 ranked | 133 |
| #11 | Transcript CleanupWriting · of 25 ranked | 143 |
| #11 | Trip PlanningPersonal · of 25 ranked | 133 |
| #12 | Code DocumentationCode · of 25 ranked | 140 |
| #12 | CI/CD PipelinesCode · of 25 ranked | 133 |
| #12 | Agent WorkflowsAgents · of 25 ranked | 161 |
| #12 | Coding AgentsAgents · of 25 ranked | 161 |
| #14 | Math TutoringEducation · of 25 ranked | 130 |
| #15 | Frontend Component DesignCode · of 25 ranked | 132 |
| #15 | Screenshot DebuggingVision · of 25 ranked | 134 |
| #15 | Chart & Graph ReadingVision · of 25 ranked | 138 |
| #16 | Unit Test GenerationCode · of 25 ranked | 137 |
| #16 | OCR / Document ParsingData · of 25 ranked | 136 |
| #16 | Table Extraction from PDFsData · of 25 ranked | 136 |
| #16 | Marketing CopyWriting · of 25 ranked | 121 |
| #16 | Financial AnalysisProfessional · of 25 ranked | 134 |
| #16 | Standardized Test PrepEducation · of 25 ranked | 121 |
| #16 | Fitness CoachingPersonal · of 25 ranked | 121 |
| #18 | Data AnalysisData · of 25 ranked | 138 |
| #18 | Experiment DesignResearch · of 25 ranked | 134 |
| #19 | SQL GenerationCode · of 25 ranked | 145 |
| #19 | Meeting NotesBusiness · of 25 ranked | 143 |
| #20 | Browser AutomationAgents · of 25 ranked | 140 |
| #21 | Diagram ExtractionVision · of 25 ranked | 133 |
| #22 | CSV / Spreadsheet CleanupData · of 25 ranked | 139 |
Similar models
openai
OpenAI: GPT-6 Luna Pro
$0.10 in / $0.50 out
1,050,000 ctx
100
openai
OpenAI: GPT-6 Luna Pro (batch)
$0.05 in / $0.25 out
1,050,000 ctx
100
openai
OpenAI: GPT-6 Luna
$0.10 in / $0.50 out
1,050,000 ctx
100
openai
OpenAI: GPT-6 Luna (batch)
$0.05 in / $0.25 out
1,050,000 ctx
100
openai
OpenAI: GPT-6 Sol Pro
$2.00 in / $10.00 out
1,050,000 ctx
100
openai
OpenAI: GPT-6 Sol Pro (batch)
$1.00 in / $5.00 out
1,050,000 ctx
100
Quick answers
- How much does OpenAI: GPT-5.5 (batch) cost?
- $2.50 per million input tokens and $15.00 per million output tokens.
- What is OpenAI: GPT-5.5 (batch)'s context window?
- 1,050,000 tokens, roughly 1,575 pages of text in a single request.
- Does OpenAI: GPT-5.5 (batch) support tool calling?
- It supports tool calling, structured output, a reasoning mode.
- Can OpenAI: GPT-5.5 (batch) process images?
- Yes, it accepts image input.