Anthropic: Claude Opus 4.7 (batch)
The Anthropic model is designed for handling diverse input modalities, including text, image, and file inputs, with a context length of 1 million tokens. It also supports tools and reasoning capabilities. This model may be worth considering for those who require a robust AI solution that can handle various types of data. With a blended benchmark score of 84.0 across three independent benchmarks, it demonstrates solid performance. However, its price point is relatively high, with $2.5 per million input tokens and $12.5 per million output tokens. Those looking for an affordable option or seeking specific features should consider other options carefully.
Benchmark results
Independent, published benchmarks. Blended score 82.1 across 3 benchmarks, last refreshed 2026-09-23. 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:batch
- 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 $2.50/M input and $12.50/M output rates. Run your own numbers →
| Job | Tokens | Cost |
|---|---|---|
| Summarize a 50-page report | 30k in / 1.5k out | $0.09 |
| Classify 1,000 customer emails | 500k in / 50k out | $1.88 |
| A month of a busy support chatbot | 5M in / 2M out | $37.50 |
Strong choice for
SQL Generation
Code Review
Code Refactoring
Bug Fixing
Unit Test Generation
Code Documentation
Category rankings
Where Anthropic: Claude Opus 4.7 (batch) places across the 60 categories it ranks in. How we rank →
| # | Category | Score |
|---|---|---|
| #1 | SQL GenerationCode · of 25 ranked | 158 |
| #1 | Code ReviewCode · of 25 ranked | 166 |
| #1 | Code RefactoringCode · of 25 ranked | 167 |
| #1 | Bug FixingCode · of 25 ranked | 171 |
| #1 | Unit Test GenerationCode · of 25 ranked | 148 |
| #1 | Code DocumentationCode · of 25 ranked | 146 |
| #1 | Regex WritingCode · of 25 ranked | 132 |
| #1 | CI/CD PipelinesCode · of 25 ranked | 142 |
| #1 | Frontend Component DesignCode · of 25 ranked | 141 |
| #1 | Data AnalysisData · of 25 ranked | 152 |
| #1 | CSV / Spreadsheet CleanupData · of 25 ranked | 148 |
| #1 | ETL ScriptingData · of 25 ranked | 155 |
| #1 | OCR / Document ParsingData · of 25 ranked | 141 |
| #1 | Table Extraction from PDFsData · of 25 ranked | 141 |
| #1 | Long-Document SummarizationWriting · of 25 ranked | 165 |
| #1 | Blog Post WritingWriting · of 25 ranked | 140 |
| #1 | Marketing CopyWriting · of 25 ranked | 128 |
| #1 | Creative WritingWriting · of 25 ranked | 160 |
| #1 | Screenwriting & DialogWriting · of 25 ranked | 160 |
| #1 | Language TranslationWriting · of 25 ranked | 132 |
| #1 | Transcript CleanupWriting · of 25 ranked | 146 |
| #1 | Academic WritingWriting · of 25 ranked | 160 |
| #1 | Legal DraftingProfessional · of 25 ranked | 160 |
| #1 | Legal ResearchProfessional · of 25 ranked | 173 |
| #1 | Contract ReviewProfessional · of 25 ranked | 179 |
| #1 | Financial AnalysisProfessional · of 25 ranked | 147 |
| #1 | Medical Note SummarizationProfessional · of 25 ranked | 155 |
| #1 | Scientific ResearchProfessional · of 25 ranked | 173 |
| #1 | Math TutoringEducation · of 25 ranked | 141 |
| #1 | Physics TutoringEducation · of 25 ranked | 148 |
| #1 | History TutoringEducation · of 25 ranked | 148 |
| #1 | Essay GradingEducation · of 25 ranked | 166 |
| #1 | Standardized Test PrepEducation · of 25 ranked | 128 |
| #1 | Meeting NotesBusiness · of 25 ranked | 149 |
| #1 | Resume WritingBusiness · of 25 ranked | 116 |
| #1 | RFP ResponseBusiness · of 25 ranked | 173 |
| #1 | OKRs & Strategic PlanningBusiness · of 25 ranked | 160 |
| #1 | Diagram ExtractionVision · of 25 ranked | 141 |
| #1 | Screenshot DebuggingVision · of 25 ranked | 140 |
| #1 | Chart & Graph ReadingVision · of 25 ranked | 146 |
| #1 | Agent WorkflowsAgents · of 25 ranked | 177 |
| #1 | Browser AutomationAgents · of 25 ranked | 151 |
| #1 | RAG PipelinesAgents · of 25 ranked | 167 |
| #1 | Long-Context Q&AAgents · of 25 ranked | 161 |
| #1 | Coding AgentsAgents · of 25 ranked | 177 |
| #1 | Character RoleplayPersonal · of 25 ranked | 153 |
| #1 | Fiction CollaboratorPersonal · of 25 ranked | 173 |
| #1 | Fitness CoachingPersonal · of 25 ranked | 129 |
| #1 | Trip PlanningPersonal · of 25 ranked | 140 |
| #1 | Tutoring for KidsPersonal · of 25 ranked | 132 |
| #1 | Math ProofsResearch · of 25 ranked | 160 |
| #1 | Scientific CodingResearch · of 25 ranked | 171 |
| #1 | Literature ReviewResearch · of 25 ranked | 173 |
| #1 | Experiment DesignResearch · of 25 ranked | 148 |
| #2 | Sales / Cold EmailBusiness · of 25 ranked | 120 |
| #2 | Job Application DraftingBusiness · of 25 ranked | 120 |
| #2 | SOP / Process DocsBusiness · of 25 ranked | 128 |
| #2 | Journaling HelperPersonal · of 25 ranked | 120 |
| #2 | Recipe GenerationPersonal · of 25 ranked | 120 |
| #7 | Function / Tool CallingAgents · of 25 ranked | 128 |
Similar models
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Anthropic: Claude Sonnet 4.6
Quick answers
- How much does Anthropic: Claude Opus 4.7 (batch) cost?
- $2.50 per million input tokens and $12.50 per million output tokens.
- What is Anthropic: Claude Opus 4.7 (batch)'s context window?
- 1,000,000 tokens, roughly 1,500 pages of text in a single request.
- Does Anthropic: Claude Opus 4.7 (batch) support tool calling?
- It supports tool calling, structured output, a reasoning mode.
- Can Anthropic: Claude Opus 4.7 (batch) process images?
- Yes, it accepts image input.