Anthropic: Claude Opus 4.7
The Anthropic: Claude Opus 4.7 is an AI model that can handle text, image, and file input modalities, with a context length of up to 1 million tokens. It also supports tools and reasoning capabilities, but does not provide structured output. Considering its price point, the Anthropic: Claude Opus 4.7 may be worth shortlisting for those who require high-capacity models that can handle multiple input formats. Its blended benchmark score of 83.9 across three independent benchmarks is respectable, although it falls slightly behind in the aider_polyglot and ai_index tests. With an input price of $5.0 per million tokens and an output price of $25.0 per million tokens, users should weigh its performance against their budget needs.
Benchmark results
Independent, published benchmarks. Blended score 82.1 across 3 benchmarks, last refreshed 2026-10-13. How scoring works →
| Benchmark | Measures | Score |
|---|---|---|
| Aider Polyglot | code editing across languages | 72.0 |
| AI Index | broad capability composite | 67.1 |
| EQ-Bench | emotional understanding in dialogue | 82.6 |
- Model ID
- anthropic/claude-opus-4.7
- Vendor
- anthropic
- Released
- April 2026
- Tokenizer
- Claude
- Input Modalities
- text, image, file
- 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 $25.00/M output rates. Run your own numbers →
| Job | Tokens | Cost |
|---|---|---|
| Summarize a 50-page report | 30k in / 1.5k out | $0.19 |
| Classify 1,000 customer emails | 500k in / 50k out | $3.75 |
| A month of a busy support chatbot | 5M in / 2M out | $75.00 |
Strong choice for
Code Review
Code Refactoring
Bug Fixing
Unit Test Generation
CI/CD Pipelines
ETL Scripting
Category rankings
Where Anthropic: Claude Opus 4.7 places across the 50 categories it ranks in. How we rank →
| # | Category | Score |
|---|---|---|
| #2 | Code ReviewCode · of 25 ranked | 161 |
| #2 | Bug FixingCode · of 25 ranked | 166 |
| #2 | Creative WritingWriting · of 25 ranked | 155 |
| #2 | Screenwriting & DialogWriting · of 25 ranked | 155 |
| #2 | Academic WritingWriting · of 25 ranked | 155 |
| #2 | Legal DraftingProfessional · of 25 ranked | 155 |
| #2 | Legal ResearchProfessional · of 25 ranked | 168 |
| #2 | Contract ReviewProfessional · of 25 ranked | 174 |
| #2 | Scientific ResearchProfessional · of 25 ranked | 168 |
| #2 | Essay GradingEducation · of 25 ranked | 161 |
| #2 | OKRs & Strategic PlanningBusiness · of 25 ranked | 155 |
| #2 | Agent WorkflowsAgents · of 25 ranked | 172 |
| #2 | Coding AgentsAgents · of 25 ranked | 172 |
| #2 | Fiction CollaboratorPersonal · of 25 ranked | 168 |
| #2 | Math ProofsResearch · of 25 ranked | 155 |
| #2 | Scientific CodingResearch · of 25 ranked | 166 |
| #2 | Literature ReviewResearch · of 25 ranked | 168 |
| #4 | Code RefactoringCode · of 25 ranked | 162 |
| #4 | Unit Test GenerationCode · of 25 ranked | 143 |
| #4 | CI/CD PipelinesCode · of 25 ranked | 137 |
| #4 | ETL ScriptingData · of 25 ranked | 150 |
| #4 | Long-Document SummarizationWriting · of 25 ranked | 159 |
| #4 | Medical Note SummarizationProfessional · of 25 ranked | 150 |
| #4 | Physics TutoringEducation · of 25 ranked | 143 |
| #4 | History TutoringEducation · of 25 ranked | 143 |
| #4 | RFP ResponseBusiness · of 25 ranked | 168 |
| #4 | RAG PipelinesAgents · of 25 ranked | 162 |
| #4 | Long-Context Q&AAgents · of 25 ranked | 156 |
| #4 | Character RoleplayPersonal · of 25 ranked | 146 |
| #6 | Frontend Component DesignCode · of 25 ranked | 136 |
| #6 | Data AnalysisData · of 25 ranked | 147 |
| #6 | Blog Post WritingWriting · of 25 ranked | 134 |
| #6 | Financial AnalysisProfessional · of 25 ranked | 142 |
| #6 | Math TutoringEducation · of 25 ranked | 136 |
| #6 | Screenshot DebuggingVision · of 25 ranked | 135 |
| #6 | Chart & Graph ReadingVision · of 25 ranked | 141 |
| #6 | Trip PlanningPersonal · of 25 ranked | 134 |
| #6 | Experiment DesignResearch · of 25 ranked | 143 |
| #7 | SQL GenerationCode · of 25 ranked | 152 |
| #8 | Browser AutomationAgents · of 25 ranked | 146 |
| #10 | Diagram ExtractionVision · of 25 ranked | 136 |
| #10 | Fitness CoachingPersonal · of 25 ranked | 124 |
| #11 | OCR / Document ParsingData · of 25 ranked | 136 |
| #11 | Table Extraction from PDFsData · of 25 ranked | 136 |
| #11 | Meeting NotesBusiness · of 25 ranked | 144 |
| #12 | CSV / Spreadsheet CleanupData · of 25 ranked | 141 |
| #18 | SOP / Process DocsBusiness · of 25 ranked | 122 |
| #20 | Marketing CopyWriting · of 25 ranked | 121 |
| #20 | Standardized Test PrepEducation · of 25 ranked | 121 |
| #22 | Function / Tool CallingAgents · of 25 ranked | 123 |
Similar models
Anthropic: Claude Fable 5.1 (batch)
Anthropic: Claude Opus 5
Anthropic: Claude Fable 5 (batch)
Anthropic: Claude Opus 4.8
Anthropic: Claude Opus 4.6
Anthropic: Claude Opus 4.5
Quick answers
- How much does Anthropic: Claude Opus 4.7 cost?
- $5.00 per million input tokens and $25.00 per million output tokens.
- What is Anthropic: Claude Opus 4.7's context window?
- 1,000,000 tokens, roughly 1,500 pages of text in a single request.
- Does Anthropic: Claude Opus 4.7 support tool calling?
- It supports tool calling, structured output, a reasoning mode.
- Can Anthropic: Claude Opus 4.7 process images?
- Yes, it accepts image input.