Claude Opus 4.7 (batch)
Claude Opus 4.7 · Batch tier (Batch)
Asynchronous batch tier: discounted offline batch requests with high throughput and relaxed latency — ideal for large-scale non-real-time workloads.
Best for: Large-scale offline inference, cost-sensitive batch jobs, backfills
This page covers the Claude Opus 4.7 Batch tier, sharing the underlying model capability with its real-time standard tier; the main difference is in billing mode and invocation method. See the Claude Opus 4.7 standard real-time tier.
Provider：Anthropic
Opus 4.7 is the next generation of Anthropic's Opus family, built for long-running, asynchronous agents. Building on the coding and agentic strengths of Opus 4.6, it delivers stronger performance on...
Key specs
- Context：1M
- Max output：128K
- Tokenizer：Claude
- Released：2026-04-16
Token pricing
- Input price：$2.50 / 1M tokens
- Output price：$12.50 / 1M tokens
- Cache read：$0.250 / 1M tokens
- Cache write：$3.13 / 1M tokens
- Blended price：$5.00 / 1M tokens
Modalities
Text, Image, File
Use Cases
- Deep Reasoning & Analysis：Process long legal docs, academic papers, financial reports; multi-hop reasoning and evidence-chain tracing across huge contexts.（≈ $0.100/call）
- Vision Understanding & Generation：Recognize data trends in charts, OCR scanned docs, analyze photos and produce structured reports.（≈ $0.075/call）
- Content Moderation：Auto-detect violations, hate speech, NSFW content; custom rule sets and score thresholds.
When to pick this model
Signals derived from public pricing and spec fields — not a benchmark. Validate with official docs and your own eval.
- Long context (>=1M tokens): well-suited for long-doc QA, code-base analysis, multi-turn agents.
- Long max output (>=30K tokens): strong fit for deep report / essay / document-drafting workflows.
- Multimodal (text+image): fit for image captioning, OCR, chart QA, vision-grounded reasoning.
- File / PDF input support: fit for document parsing, contract review, RAG over private data.
FAQ
- What is the token pricing of Claude Opus 4.7 (batch)? Input price $2.50 / 1M tokens, output price $12.50 / 1M tokens, blended about $5.00 / 1M tokens. Refer to Anthropic’s official page for the exact rate.
- What context window does Claude Opus 4.7 (batch) support? Context window is 1M, max output about 128K, suitable for long documents, multi-turn chat and complex reasoning.
- What scenarios is Claude Opus 4.7 (batch) best for? Based on its capability and pricing, Claude Opus 4.7 (batch) fits best: Deep Reasoning & Analysis, Vision Understanding & Generation, Content Moderation. See the Use Cases section for details and cost estimates.
- What input/output modalities does Claude Opus 4.7 (batch) support? Supports Text, Image, File modality.
- Is Claude Opus 4.7 (batch) a free model? Claude Opus 4.7 (batch) is billed per token, not a free model.
- Which provider offers Claude Opus 4.7 (batch)? Claude Opus 4.7 (batch) is offered by Anthropic.
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Full info：Claude Opus 4.7 (batch)