Claude Opus 4.7
Anthropic • LLM
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...
Specifications
Context Window
1.0M tokens
Input Price/1M
$6.25
Output Price/1M
$25.00
Parameters
—
Speed
49 tok/s
Latency (TTFT)
1.1s
Max Output
128K tokens
Benchmarks
Claude Opus 4.7 results on the main AI model evaluation benchmarks. Higher scores indicate better performance.
Agentic
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| Terminal-Bench Hard | 55.0 | 100.0 | — |
Coding
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| SciCode | 55.0 | 100.0 | — |
| AA Coding Index | 53.1 | 100.0 | — |
Long Context
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA-LCR | 70.0 | 100.0 | — |
overall
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| AA Intelligence Index | 57.3 | 100.0 | — |
Reasoning
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| GPQA Diamond | 91.0 | 100.0 | — |
| IFBench | 59.0 | 100.0 | — |
| HLE | 40.0 | 100.0 | — |
Tool Use
| Benchmark | Score | Maximum | Methodology |
|---|---|---|---|
| Tau²-Bench | 89.0 | 100.0 | — |
Information
- Release date
- April 16, 2026
- Tool Calling
- ✅ Supported
- Vision
- ✅ Supported
- Audio
- ❌ Not supported
Full Analysis: Claude Opus 4.7
What is Claude Opus 4.7?
Claude Opus 4.7 is an AI model developed by Anthropic, classified as a large language model (LLM). It is a multimodal model, capable of processing text, images, and potentially other media types. As a proprietary model, it is available via Anthropic's cloud API. With a context window of 1.0M tokens, it is suitable for processing long documents such as contracts, books, and complete codebases.
Pricing & Costs in 2026
Claude Opus 4.7 is usage-based, priced at $6.25/1M input tokens and $25/1M output tokens. For context: 1 million tokens is approximately 750,000 words, or about 10 average-length books. The mid-range pricing balances quality and cost for most professional applications.
Benchmarks & Performance
Claude Opus 4.7 was evaluated on 9 different benchmarks, covering categories like Agentic, Coding, Long Context, overall, Reasoning, Tool Use. Results show exceptional performance across available evaluations.
It's important to note that benchmarks measure specific aspects and don't capture the full user experience. Factors like instruction adherence, behavior in long conversations, and real-world task quality vary significantly between models and aren't always reflected in standard scores.
Recommended Use Cases
Claude Opus 4.7 is suitable for a wide range of AI applications: long document analysis (contracts, legal proceedings, codebases), automation with tool calling (API integration, databases, external systems), image and visual document analysis (OCR, diagrams, screenshots), multimodal processing combining text and images, complex reasoning, math problem solving, and logical analysis, text generation, summarization, translation, and general assistance.
Comparison with Alternatives
In the 2026 AI model ecosystem, Claude Opus 4.7 competes directly with similarly capable models. Key competitors include GPT (OpenAI), Gemini (Google), and open source models like Llama (Meta) and DeepSeek. The choice between models depends on the specific use case, budget, latency requirements, and need for features like multimodality and tool calling.
For a detailed side-by-side comparison, use our comparison tool or check the overall model ranking.
Comparisons with Claude Opus 4.7
Claude Opus 4.7 vs GPT-5.5
Benchmarks, pricing and speed compared
Gemini 3.1 Pro vs Claude Opus 4.7
Benchmarks, pricing and speed compared
Claude Opus 4.7 vs DeepSeek V4 Pro
Benchmarks, pricing and speed compared
Claude Opus 4.7 vs GPT-5.4
Benchmarks, pricing and speed compared
Frequently Asked Questions
What is Claude Opus 4.7?
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...
How much does Claude Opus 4.7 cost?
Claude Opus 4.7 costs $6.25/1M input tokens and $25/1M output tokens. For heavy usage (e.g., a chatbot handling 100k messages/month), costs can range from $10 to $1,000 depending on volume.
How does Claude Opus 4.7 compare with other models?
In available benchmarks, Claude Opus 4.7 scored: Terminal-Bench Hard: 55/100, SciCode: 55/100, AA Coding Index: 53.1/100. See the full table above for a detailed comparison.
Is Claude Opus 4.7 open source?
No, Claude Opus 4.7 is a proprietary model from Anthropic. It is available via cloud API. For open source alternatives, check our open source model ranking.
What is Claude Opus 4.7 best for?
Claude Opus 4.7 excels at complex reasoning and problem solving. With its large context window, it handles long documents, codebases, and extended conversations. It supports tool calling for API integrations and automation.
Last updated: June 01, 2026 • View methodology →