Claude Opus 4.5 (batch)
Claude Opus 4.5 is Anthropic’s frontier reasoning model optimized for complex software engineering, agentic workflows, and long-horizon computer use. It offers strong multimodal capabilities, competitive performance across real-world coding and...
Context window
This model accepts 200K tokens in one request (~150K words of text).
What fits in one request
- FitsShort documentAbout 1,500 words of text
- FitsLong documentAbout 37K words of text
- FitsSmall codebaseAbout 150K words of text
- Won't fitFull novelAbout 375K words of text
Specifications
Context size, pricing, and release info in one place.
- Context window
- 200,000 tokens (200K)
- Max output tokens
- 64,000 tokens (64K)
- Speed tier
- deep
- Provider
- Anthropic
- Model family
- Claude Opus
- Release date
- Nov 2025
Capabilities
See which features this model supports, such as vision, tools, and streaming.
- Vision
- Accepts image inputs alongside text
- Supported
- Tool use
- Can call external tools and APIs
- Supported
- Function calling
- Structured function call interface
- Supported
- Extended thinking
- Shows its chain-of-thought reasoning
- Supported
- Streaming
- Returns tokens as they are generated
- Supported
- Batch API
- Process many requests asynchronously
- Supported
- Prompt caching
- Reuse repeated prompt prefixes cheaply
- Supported
- Web search
- Can browse the web during a request
- Not supported
Best for
Jump to a guide or ranking that matches each workload.
Compare Claude Opus 4.5 (batch)
Open a side-by-side comparison with one click.
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- Claude Opus 4.5 (batch) vs Claude Sonnet 4 6
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- Claude Opus 4.5 (batch) vs Amazon Titan Text Express
Claude Opus 4.5 (batch) has 376% larger context window
- Claude Opus 4.5 (batch) vs Amazon Titan Text Premier
Claude Opus 4.5 (batch) has 376% larger context window
- Claude Opus 4.5 (batch) vs Amazon Titan Text Lite
Claude Opus 4.5 (batch) has 376% larger context window
- Claude Opus 4.5 (batch) vs Apac Amazon Nova 2 Lite
Apac Amazon Nova 2 Lite has 400% larger context window
Frequently asked questions
Short answers about context size and how this model behaves.
More from Anthropic
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