anthropic
Anthropic: Claude Opus 4.7 (batch)
Claude Opus 4.7 from Anthropic is designed for extensive text and supports input in images and files; it has a vast context length of one million tokens and robust reasoning capabilities. This model can handle structured data, making it versatile for complex tasks that require both textual and multimodal inputs. Given its comprehensive performance across five benchmarks with an average score of 88.9, this model is suitable for businesses needing reliable AI solutions. While the cost at $2.5 per million input tokens and $12.5 per million output tokens might be a factor to consider, it offers robust value in terms of both price and performance.
Quality Score
100/100
price + capability + benchmarks
Input Price
$2.50
per 1M tokens
Output Price
$12.50
per 1M tokens
Context Window
1,000,000
tokens
Benchmark results
Independent, published benchmarks. Blended score 88.9 across 5 benchmarks, last refreshed 2026-07-29. How scoring works →
| Benchmark | Measures | Score |
|---|---|---|
| Aider Polyglot | code editing across languages | 72.0 |
| AI Index | broad capability composite | 88.3 |
| AI Index Coding | software engineering tasks | 100.0 |
| AI Index Agentic | multi-step tool-using tasks | 73.2 |
| 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
Code
SQL Generation
Writing correct, performant SQL from natural-language prompts.
Code
Code Review
Spotting bugs, security issues, and style problems in pull requests.
Code
Code Refactoring
Safely restructuring an existing codebase across many files.
Code
Bug Fixing
Diagnosing root cause and producing a working patch.
Code
Unit Test Generation
Generating thorough test suites for existing functions.
Code
Code Documentation
Writing clear docstrings and READMEs that match the code.
Category rankings
Where Anthropic: Claude Opus 4.7 (batch) places across the 64 categories it ranks in. How we rank →
| # | Category | Score |
|---|---|---|
| #1 | SQL GenerationCode · of 25 ranked | 188 |
| #1 | Code ReviewCode · of 25 ranked | 189 |
| #1 | Code RefactoringCode · of 25 ranked | 185 |
| #1 | Bug FixingCode · of 25 ranked | 203 |
| #1 | Unit Test GenerationCode · of 25 ranked | 171 |
| #1 | Code DocumentationCode · of 25 ranked | 152 |
| #1 | Regex WritingCode · of 25 ranked | 143 |
| #1 | CI/CD PipelinesCode · of 25 ranked | 159 |
| #1 | Frontend Component DesignCode · of 25 ranked | 157 |
| #1 | Data AnalysisData · of 25 ranked | 189 |
| #1 | CSV / Spreadsheet CleanupData · of 25 ranked | 166 |
| #1 | ETL ScriptingData · of 25 ranked | 172 |
| #1 | OCR / Document ParsingData · of 25 ranked | 154 |
| #1 | Table Extraction from PDFsData · of 25 ranked | 154 |
| #1 | Long-Document SummarizationWriting · of 25 ranked | 177 |
| #1 | Blog Post WritingWriting · of 25 ranked | 151 |
| #1 | Marketing CopyWriting · of 25 ranked | 138 |
| #1 | Creative WritingWriting · of 25 ranked | 177 |
| #1 | Screenwriting & DialogWriting · of 25 ranked | 177 |
| #1 | Language TranslationWriting · of 25 ranked | 143 |
| #1 | Transcript CleanupWriting · of 25 ranked | 147 |
| #1 | Academic WritingWriting · of 25 ranked | 177 |
| #1 | Legal DraftingProfessional · of 25 ranked | 177 |
| #1 | Legal ResearchProfessional · of 25 ranked | 190 |
| #1 | Contract ReviewProfessional · of 25 ranked | 202 |
| #1 | Financial AnalysisProfessional · of 25 ranked | 176 |
| #1 | Medical Note SummarizationProfessional · of 25 ranked | 172 |
| #1 | Scientific ResearchProfessional · of 25 ranked | 190 |
| #1 | Math TutoringEducation · of 25 ranked | 163 |
| #1 | Physics TutoringEducation · of 25 ranked | 164 |
| #1 | History TutoringEducation · of 25 ranked | 160 |
| #1 | Essay GradingEducation · of 25 ranked | 189 |
| #1 | Standardized Test PrepEducation · of 25 ranked | 138 |
| #1 | Sales / Cold EmailBusiness · of 25 ranked | 126 |
| #1 | Meeting NotesBusiness · of 25 ranked | 162 |
| #1 | Resume WritingBusiness · of 25 ranked | 121 |
| #1 | Job Application DraftingBusiness · of 25 ranked | 126 |
| #1 | RFP ResponseBusiness · of 25 ranked | 197 |
| #1 | SOP / Process DocsBusiness · of 25 ranked | 145 |
| #1 | OKRs & Strategic PlanningBusiness · of 25 ranked | 177 |
| #1 | Diagram ExtractionVision · of 25 ranked | 158 |
| #1 | Screenshot DebuggingVision · of 25 ranked | 151 |
| #1 | Chart & Graph ReadingVision · of 25 ranked | 163 |
| #1 | Agent WorkflowsAgents · of 25 ranked | 215 |
| #1 | Browser AutomationAgents · of 25 ranked | 184 |
| #1 | Function / Tool CallingAgents · of 25 ranked | 162 |
| #1 | RAG PipelinesAgents · of 25 ranked | 185 |
| #1 | Long-Context Q&AAgents · of 25 ranked | 173 |
| #1 | Coding AgentsAgents · of 25 ranked | 215 |
| #1 | Character RoleplayPersonal · of 25 ranked | 164 |
| #1 | Fiction CollaboratorPersonal · of 25 ranked | 190 |
| #1 | Journaling HelperPersonal · of 25 ranked | 126 |
| #1 | Recipe GenerationPersonal · of 25 ranked | 126 |
| #1 | Fitness CoachingPersonal · of 25 ranked | 146 |
| #1 | Trip PlanningPersonal · of 25 ranked | 151 |
| #1 | Tutoring for KidsPersonal · of 25 ranked | 143 |
| #1 | Math ProofsResearch · of 25 ranked | 177 |
| #1 | Scientific CodingResearch · of 25 ranked | 203 |
| #1 | Literature ReviewResearch · of 25 ranked | 190 |
| #1 | Experiment DesignResearch · of 25 ranked | 175 |
| #8 | Trivia & General KnowledgePersonal · of 25 ranked | 121 |
| #15 | Email DraftingWriting · of 25 ranked | 126 |
| #15 | Language LearningEducation · of 25 ranked | 126 |
| #23 | JSON ExtractionData · of 25 ranked | 144 |
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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.