Claude Opus 4.7
VerifiedHandles million-token multimodal inputs with precision.
About Claude Opus 4.7
Claude Opus 4.7 was designed as a proprietary system with an emphasis on extended context handling. Its architecture accommodates simultaneous processing of lengthy documents, images, and supporting files without requiring external retrieval steps. This design choice supports coherent analysis across very large inputs.
The model's primary strengths lie in maintaining context over extended multimodal sequences. It processes visual and textual elements together while preserving accuracy across one million tokens. Users benefit from reduced fragmentation when working with comprehensive datasets or multi-page materials.
Typical usage includes detailed document review, image-grounded research, and file-based workflow automation. Teams apply it to synthesize information from mixed sources where continuity across long contexts is essential. The closed nature of the model means access occurs exclusively through Anthropic's hosted services.
Capabilities
How Claude Opus 4.7 compares
Claude Opus 4.7 (striped bar) vs other multimodal on intelligence, speed and price.
Price
USD per 1M output tokens · Lower is better · Claude Opus 4.7 ranks #54 of 67
Nova Premier 1.0Sources: Artificial Analysis (intelligence, speed) · OpenRouter (price).
Best for
Long Document and Image Analysis
Processes entire books, legal filings, or research papers paired with charts and diagrams within its 1,000,000-token context for unified summaries and cross-references.
Extended Multimodal Workflows
Handles sequential image-text tasks such as reviewing multi-page reports with embedded visuals while retaining full conversation history.
Large-Scale Content Synthesis
Integrates thousands of pages of mixed text and visual material into coherent outputs like comparative studies or technical evaluations.
Strengths & limitations
Strengths
- +Handles very large contexts effectively
- +Strong reasoning and writing quality
- +Versatile with text, image, and file inputs
- +Careful and safety-aligned responses
Limitations
- –Can be overly cautious or refuse edge cases
- –Higher latency on complex multimodal tasks
- –No native real-time web access
Pricing by provider
Live per-provider pricing & uptime, routed via OpenRouter. Prices are USD per 1M tokens.
| Provider | Input /1M | Output /1M | Context | Uptime |
|---|---|---|---|---|
| $5.00 | $25.00 | 1000K | — | |
| Amazon Bedrock | $5.00 | $25.00 | 1000K | — |
| Amazon Bedrock | $5.00 | $25.00 | 1000K | 100.0% |
| Anthropic | $5.00 | $25.00 | 1000K | 99.9% |
| $5.00 | $25.00 | 1000K | 100.0% | |
| Anthropic | $5.00 | $25.00 | 1000K | — |
Cost calculator
Estimate what Claude Opus 4.7 would cost for your usage.
Based on Claude Opus 4.7's $5.00/1M input · $25.00/1M output. Estimate only — actual cost varies by provider and caching.
Quick start
OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. Only the model slug changes between models.
import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://openrouter.ai/api/v1",
apiKey: process.env.OPENROUTER_API_KEY,
});
const completion = await client.chat.completions.create({
model: "anthropic/claude-opus-4.7",
messages: [{ role: "user", content: "Hello!" }],
});
console.log(completion.choices[0].message.content);Model slug: anthropic/claude-opus-4.7
Editor's verdict
Claude Opus 4.7 is Anthropic's proprietary multimodal with a 1000K-token context window.
At $25.00 per 1M output tokens, it is premium-priced for its class, served by 6 providers.
It is available through Anthropic's API and aggregators like OpenRouter.
Best suited to handles very large contexts effectively and strong reasoning and writing quality.
Frequently asked questions
Claude Opus 4.7 supports a context length of 1,000,000 tokens.
User reviews
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