Anthropic Frontier Not in FlowHunt

Claude Opus 4.7

Claude Opus 4.7 is a top-tier frontier AI model, developed by Anthropic and released in April 2026. It is a proprietary closed-weight model, available through the Anthropic API. The 1M-token context window is large enough to hold entire codebases, lengthy technical documents, or extended agentic sessions without truncation.

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Claude Opus 4.7 was released on April 1, 2026 as a more substantial generational step than its successor. Opus 4.7 became the primary enterprise choice for agentic workflows throughout April and May 2026, and many production systems were built around its API before Opus 4.8 superseded it. Its benchmark profile remains competitive with some newer models and it continues to be widely used in production alongside the newer Opus line.
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Benchmarks

Each score appears once, with its rank among tracked models and who measured it.

Compared with Frontier peers on the same scale
  • Claude Opus 4.7this model
  • GPT-6.1 Solthis model leads on 0 of 3
  • Grok 4.7this model leads on 1 of 3
Verified independent evaluator, counted in the ranking Self-reported published by Anthropic, shown but not ranked
Overall

AA Intelligence Index

Independent composite of agent, coding, knowledge and science tests by Artificial Analysis (v4).

Source ↗

Claude Opus 4.7 40.7 GPT-6.1 Sol 51.8 Grok 4.7 46.4
#18of 45 Verified
Coding

SWE-bench Pro

Real issues across several languages and large codebases.

Claude Opus 4.7 64.3% GPT-6.1 Sol No score Grok 4.7 No score
Not ranked Self-reported

SWE-bench Verified

500 verified GitHub issues. Saturated at the frontier.

Source ↗Also: Self-reported 87.6%

Claude Opus 4.7 82.0% GPT-6.1 Sol No score Grok 4.7 No score
#10of 22 Verified
Reasoning

Humanity's Last Exam

Expert-written questions across 100+ subjects, no tools.

Source ↗

Claude Opus 4.7 42.3% GPT-6.1 Sol 52.9% Grok 4.7 43.1%
#19of 44 Verified

GPQA Diamond

Graduate-level science questions that search cannot answer.

Source ↗Also: Self-reported 94.2%

Claude Opus 4.7 91.4% GPT-6.1 Sol No score Grok 4.7 No score
#18of 37 Verified

ARC-AGI-2

Novel visual puzzles that cannot be memorised.

Source ↗

Claude Opus 4.7 75.8% GPT-6.1 Sol 94.2% Grok 4.7 61.4%
#11of 27 Verified

What to Use Claude Opus 4.7 For

Software Engineering

It resolves real GitHub issues, writes production-quality code across multiple languages, and handles multi-step agentic coding workflows — a strong choice for AI-assisted software development teams.

Scientific & Technical Reasoning

Use it for scientific literature synthesis, hypothesis evaluation, medical and legal Q&A, and multi-discipline research tasks where deep domain knowledge matters.

Long-Document & Codebase Analysis

With a 1M-token context window, Claude Opus 4.7 can ingest entire software repositories, long legal contracts, book-length research reports, or extensive conversation histories in a single prompt — enabling deep document Q&A, cross-file codebase reasoning, and comprehensive summarisation without chunking heuristics or RAG pipelines.

Strengths and limitations

Strengths

  • Strong software engineering
  • Graduate-level science reasoning
  • Composite intelligence
  • Very long documents and large codebases (1M context)

Limitations

  • Closed-weight — cannot be self-hosted or fine-tuned on private data

Use an alternative in FlowHunt

Claude Opus 4.7 is not available in FlowHunt. These models cover similar work and are ready to use:

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About Anthropic San Francisco, CA · Founded 2021 · anthropic.com

Anthropic is an AI safety company founded in 2021 by former OpenAI researchers Dario Amodei and Daniela Amodei, along with a group of colleagues who had led OpenAI's safety and policy teams. The company's stated mission is the responsible development of AI for the long-term benefit of humanity, and its research agenda is defined by that commitment: Constitutional AI (CAI), a technique for training models to be helpful, harmless, and honest through self-critique; mechanistic interpretability, which aims to reverse-engineer what individual neurons and circuits inside large networks actually compute; and scaling science, which tries to predict how model behaviour changes with compute and data. Anthropic publishes this research openly and has become one of the most cited AI safety labs in academic literature. Claude is Anthropic's public model family, named for Claude Shannon, the founder of information theory, and runs from Claude 1 to the Claude 5.5 generation and Claude Fable 5.1. Anthropic operates a commercial API and consumer-facing Claude.ai product, and maintains deep cloud partnerships with AWS (Amazon Bedrock) and Google Cloud (Vertex AI).

anthropic.com ↗

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