Anthropic: Claude Opus 4.8 (batch)
The Anthropic model is a batch processing AI system that can handle text, image, and file inputs with a context length of up to 1 million tokens. It supports tool integration and reasoning capabilities. The model accepts various input modalities, including text, images, and files, making it suitable for multi-modal applications. When considering this model for use, its price point may be a factor. With $2.5 per million input tokens and $12.5 per million output tokens, users should weigh the cost against their specific needs. The model's blended benchmark score of 84.3 across two independent benchmarks indicates it performs well in certain tasks, but further evaluation is necessary to determine its suitability for specific applications.
Benchmark results
Independent, published benchmarks. Blended score 84.3 across 2 benchmarks, last refreshed 2026-09-23. How scoring works →
| Benchmark | Measures | Score |
|---|---|---|
| AI Index | broad capability composite | 69.0 |
| EQ-Bench | emotional understanding in dialogue | 83.3 |
- Model ID
- anthropic/claude-opus-4.8:batch
- Vendor
- anthropic
- Released
- May 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 Review
Code Refactoring
Bug Fixing
Code Documentation
ETL Scripting
Long-Document Summarization
Category rankings
Where Anthropic: Claude Opus 4.8 (batch) places across the 55 categories it ranks in. How we rank →
| # | Category | Score |
|---|---|---|
| #4 | Blog Post WritingWriting · of 25 ranked | 134 |
| #4 | Trip PlanningPersonal · of 25 ranked | 134 |
| #5 | Code ReviewCode · of 25 ranked | 155 |
| #5 | Code RefactoringCode · of 25 ranked | 157 |
| #5 | Bug FixingCode · of 25 ranked | 159 |
| #5 | Code DocumentationCode · of 25 ranked | 141 |
| #5 | ETL ScriptingData · of 25 ranked | 146 |
| #5 | Long-Document SummarizationWriting · of 25 ranked | 158 |
| #5 | Creative WritingWriting · of 25 ranked | 151 |
| #5 | Screenwriting & DialogWriting · of 25 ranked | 151 |
| #5 | Transcript CleanupWriting · of 25 ranked | 144 |
| #5 | Academic WritingWriting · of 25 ranked | 151 |
| #5 | Legal DraftingProfessional · of 25 ranked | 151 |
| #5 | Legal ResearchProfessional · of 25 ranked | 163 |
| #5 | Contract ReviewProfessional · of 25 ranked | 167 |
| #5 | Medical Note SummarizationProfessional · of 25 ranked | 146 |
| #5 | Scientific ResearchProfessional · of 25 ranked | 163 |
| #5 | Physics TutoringEducation · of 25 ranked | 139 |
| #5 | History TutoringEducation · of 25 ranked | 142 |
| #5 | Essay GradingEducation · of 25 ranked | 155 |
| #5 | RFP ResponseBusiness · of 25 ranked | 161 |
| #5 | OKRs & Strategic PlanningBusiness · of 25 ranked | 151 |
| #5 | RAG PipelinesAgents · of 25 ranked | 157 |
| #5 | Long-Context Q&AAgents · of 25 ranked | 153 |
| #5 | Character RoleplayPersonal · of 25 ranked | 146 |
| #5 | Fiction CollaboratorPersonal · of 25 ranked | 163 |
| #5 | Math ProofsResearch · of 25 ranked | 151 |
| #5 | Scientific CodingResearch · of 25 ranked | 159 |
| #5 | Literature ReviewResearch · of 25 ranked | 163 |
| #8 | Screenshot DebuggingVision · of 25 ranked | 135 |
| #9 | CI/CD PipelinesCode · of 25 ranked | 134 |
| #9 | Agent WorkflowsAgents · of 25 ranked | 163 |
| #9 | Coding AgentsAgents · of 25 ranked | 163 |
| #10 | OCR / Document ParsingData · of 25 ranked | 136 |
| #10 | Table Extraction from PDFsData · of 25 ranked | 136 |
| #11 | Unit Test GenerationCode · of 25 ranked | 138 |
| #11 | Frontend Component DesignCode · of 25 ranked | 133 |
| #11 | Marketing CopyWriting · of 25 ranked | 122 |
| #11 | Financial AnalysisProfessional · of 25 ranked | 135 |
| #11 | Math TutoringEducation · of 25 ranked | 131 |
| #11 | Standardized Test PrepEducation · of 25 ranked | 122 |
| #11 | Fitness CoachingPersonal · of 25 ranked | 122 |
| #12 | Chart & Graph ReadingVision · of 25 ranked | 139 |
| #13 | Browser AutomationAgents · of 25 ranked | 141 |
| #13 | Experiment DesignResearch · of 25 ranked | 135 |
| #14 | Regex WritingCode · of 25 ranked | 127 |
| #14 | Language TranslationWriting · of 25 ranked | 127 |
| #14 | Tutoring for KidsPersonal · of 25 ranked | 127 |
| #15 | SQL GenerationCode · of 25 ranked | 146 |
| #15 | Data AnalysisData · of 25 ranked | 139 |
| #15 | Meeting NotesBusiness · of 25 ranked | 143 |
| #15 | Resume WritingBusiness · of 25 ranked | 113 |
| #16 | CSV / Spreadsheet CleanupData · of 25 ranked | 140 |
| #16 | Diagram ExtractionVision · of 25 ranked | 134 |
| #22 | SOP / Process DocsBusiness · of 25 ranked | 121 |
Similar models
Anthropic: Claude Opus 5.5 (batch)
Anthropic: Claude Opus 5 (batch)
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Anthropic: Claude Sonnet 5 (batch)
Anthropic: Claude Opus 4.7 (batch)
Anthropic: Claude Sonnet 4.6
Quick answers
- How much does Anthropic: Claude Opus 4.8 (batch) cost?
- $2.50 per million input tokens and $12.50 per million output tokens.
- What is Anthropic: Claude Opus 4.8 (batch)'s context window?
- 1,000,000 tokens, roughly 1,500 pages of text in a single request.
- Does Anthropic: Claude Opus 4.8 (batch) support tool calling?
- It supports tool calling, structured output, a reasoning mode.
- Can Anthropic: Claude Opus 4.8 (batch) process images?
- Yes, it accepts image input.