OpenAI: GPT-5.5
OpenAI's GPT-5.5 is an advanced AI model capable of processing text, images, and files, with a context length of 1,050,000 tokens and support for reasoning and tools integration. This model excels in both input modalities and contextual understanding but does not offer structured output or open weights access. For users requiring robust text generation and versatile data handling within a budget that can accommodate higher costs, GPT-5.5 might be worth considering due to its competitive benchmark score of 93.4 across four independent benchmarks. Its pricing at $5 per million input tokens and $30 per million output tokens makes it suitable for projects with substantial token requirements but less so for those prioritizing cost efficiency or open-source alternatives.
Benchmark results
Independent, published benchmarks. Blended score 93.4 across 4 benchmarks, last refreshed 2026-07-24. How scoring works →
| Benchmark | Measures | Score |
|---|---|---|
| AI Index | broad capability composite | 90.5 |
| AI Index Coding | software engineering tasks | 100.0 |
| AI Index Agentic | multi-step tool-using tasks | 74.0 |
| EQ-Bench | emotional understanding in dialogue | 82.4 |
- Model ID
- openai/gpt-5.5
- 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 $5.00/M input and $30.00/M output rates. Run your own numbers →
| Job | Tokens | Cost |
|---|---|---|
| Summarize a 50-page report | 30k in / 1.5k out | $0.20 |
| Classify 1,000 customer emails | 500k in / 50k out | $4.00 |
| A month of a busy support chatbot | 5M in / 2M out | $85.00 |
Category rankings
Where OpenAI: GPT-5.5 places across the 47 categories it ranks in. How we rank →
| # | Category | Score |
|---|---|---|
| #6 | Bug FixingCode · of 25 ranked | 183 |
| #6 | Agent WorkflowsAgents · of 25 ranked | 194 |
| #6 | Coding AgentsAgents · of 25 ranked | 194 |
| #6 | Scientific CodingResearch · of 25 ranked | 183 |
| #7 | Legal ResearchProfessional · of 25 ranked | 172 |
| #7 | Contract ReviewProfessional · of 25 ranked | 182 |
| #7 | Scientific ResearchProfessional · of 25 ranked | 172 |
| #7 | Fiction CollaboratorPersonal · of 25 ranked | 172 |
| #7 | Literature ReviewResearch · of 25 ranked | 172 |
| #8 | Code ReviewCode · of 25 ranked | 170 |
| #8 | Creative WritingWriting · of 25 ranked | 160 |
| #8 | Screenwriting & DialogWriting · of 25 ranked | 160 |
| #8 | Academic WritingWriting · of 25 ranked | 160 |
| #8 | Legal DraftingProfessional · of 25 ranked | 160 |
| #8 | Essay GradingEducation · of 25 ranked | 170 |
| #8 | RFP ResponseBusiness · of 25 ranked | 177 |
| #8 | OKRs & Strategic PlanningBusiness · of 25 ranked | 160 |
| #8 | Math ProofsResearch · of 25 ranked | 160 |
| #9 | Code RefactoringCode · of 25 ranked | 167 |
| #9 | RAG PipelinesAgents · of 25 ranked | 167 |
| #9 | Long-Context Q&AAgents · of 25 ranked | 158 |
| #10 | ETL ScriptingData · of 25 ranked | 155 |
| #10 | Medical Note SummarizationProfessional · of 25 ranked | 155 |
| #10 | Physics TutoringEducation · of 25 ranked | 148 |
| #10 | History TutoringEducation · of 25 ranked | 145 |
| #11 | Long-Document SummarizationWriting · of 25 ranked | 160 |
| #12 | Data AnalysisData · of 25 ranked | 168 |
| #12 | Browser AutomationAgents · of 25 ranked | 167 |
| #13 | Financial AnalysisProfessional · of 25 ranked | 156 |
| #14 | Frontend Component DesignCode · of 25 ranked | 142 |
| #14 | Chart & Graph ReadingVision · of 25 ranked | 148 |
| #15 | Unit Test GenerationCode · of 25 ranked | 153 |
| #15 | Experiment DesignResearch · of 25 ranked | 155 |
| #16 | CI/CD PipelinesCode · of 25 ranked | 143 |
| #16 | Math TutoringEducation · of 25 ranked | 145 |
| #16 | Screenshot DebuggingVision · of 25 ranked | 139 |
| #16 | Character RoleplayPersonal · of 25 ranked | 148 |
| #17 | SQL GenerationCode · of 25 ranked | 167 |
| #20 | Fitness CoachingPersonal · of 25 ranked | 131 |
| #21 | OCR / Document ParsingData · of 25 ranked | 142 |
| #21 | Table Extraction from PDFsData · of 25 ranked | 142 |
| #21 | Blog Post WritingWriting · of 25 ranked | 136 |
| #21 | Diagram ExtractionVision · of 25 ranked | 144 |
| #21 | Trip PlanningPersonal · of 25 ranked | 136 |
| #22 | Meeting NotesBusiness · of 25 ranked | 148 |
| #22 | Function / Tool CallingAgents · of 25 ranked | 146 |
| #24 | CSV / Spreadsheet CleanupData · of 25 ranked | 148 |
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Quick answers
- How much does OpenAI: GPT-5.5 cost?
- $5.00 per million input tokens and $30.00 per million output tokens.
- What is OpenAI: GPT-5.5's context window?
- 1,050,000 tokens, roughly 1,575 pages of text in a single request.
- Does OpenAI: GPT-5.5 support tool calling?
- It supports tool calling, structured output, a reasoning mode.
- Can OpenAI: GPT-5.5 process images?
- Yes, it accepts image input.