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Claude Opus 4.5

Model family: Claude
Claude Opus 4.5 is built for complex tasks like large codebase edits, deep data analysis, and long-form writing, while using fewer tokens than previous Opus or Sonnet 4.5 at similar or better quality. It supports strong tool use and agent workflows, handles long context reliably, and lets you adjust effort so you can trade speed for more careful thinking when needed. Safety is tightened as well, with better resistance to prompt injection and lower rates of risky behavior, making it suitable for higher stakes applications.
Multimodal Gen 3
Released: November 25, 2025

Overview

Claude Opus 4.5 is Anthropic’s top model for hard reasoning, coding, and long-horizon agents. It improves math, vision, tool use, and safety compared with earlier Claude models.

About Anthropic

Anthropic is a technology company specializing in artificial intelligence and machine learning solutions.

Industry: Artificial Intelligence
Company Size: 3673
Location: San Francisco, California, US
View Company Profile

Benchmark scores

How Claude Opus 4.5 ranks on tracked AI benchmarks. Click any benchmark to see its full leaderboard.

ARC-AGI-2
Reasoning
37.6%
89.4%
GPQA Diamond
Knowledge
87.0%
MMMU
Multimodal
80.7%
OSWorld
Agentic
66.3%
98.2%
Compare across all benchmarks →

Tools using Claude Opus 4.5

  • Claude
    Building reliable, interpretable AI systems
    Open
    Claude — v5.0
    Claude Fable 5 State-of-the-art on Cognition's FrontierCode eval, scoring highest among frontier models even at medium effort. More token-efficient than prior Claude models. Stripe reported a codebase-wide migration on a 50M-line Ruby codebase done in a day, versus an estimated two-plus months by hand. Highest score of any model on Hebbia's Finance Benchmark (senior-level reasoning), with major gains in document reasoning, chart and table interpretation, and problem solving. IMC reported near-across-the-board top results on trading-analysis evals (factual lookup, conceptual reasoning, root-cause analysis, expected-value analysis). New state-of-the-art for vision tasks. Extracts precise numbers from scientific figures and can rebuild a web app's source code from screenshots alone. Needs less scaffolding: beat Pokémon FireRed with a minimal vision-only harness, where earlier models needed complex helper harnesses. Stays focused across millions of tokens on long-running tasks and improves its outputs using its own notes. With persistent file-based memory in Slay the Spire, performance improved 3x more than Opus 4.8, and it reached the final act 3x more often. Works autonomously for longer than any prior Claude model
Last updated: April 6, 2026
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