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Anthropic

Claude Opus 4.8: benchmarks, price and rank

Claude Opus 4.8 from Anthropic is 24th of 123 rated AI models on Spezia's leaderboard, strongest on Humanity's Last Exam and SWE-Bench Pro. It costs $5 in, $25 out per million tokens.

  • 24th of 123 rated models
  • Rating 1,539
  • Rated on 20 benchmarks
  • Closed
  • Released May 27, 2026
  • 1 million tokens of context

Where it is strongest

  • 7th of 74 on Humanity's Last Exam
  • 5th of 50 on SWE-Bench Pro
  • 2nd of 18 on ScreenSpot-Pro
  • 2nd of 8 on DeepSearchQA
  • 2nd of 56 on SWE-bench Verified

Where it falls behind

  • 16th of 19 on HealthBench Professional
  • 15th of 18 on LifeSci Diamond
  • 34th of 56 on APEX-Agents

Price: $5 in, $25 out per million tokens.

Its headline results

The benchmarks that count most in the rating, with its place among the models measured the same way, and where each number came from.

  • Remote Labor Index8.3%

    Real freelance projects that people were paid to do, from design and video to architecture, games and data work. The model gets the same brief and files the freelancer got and has to hand back finished work.

    7th of 17. Independent result from Epoch AI.

  • APEX-Agents48.9%

    Long tasks written by investment banking analysts, management consultants and corporate lawyers from their own work, done across files and apps in a realistic work setup.

    34th of 56. Independent result from Epoch AI.

  • Terminal-Bench 4.023.6%

    Hard jobs done in a real computer terminal: building and fixing software, setting up systems, and science and engineering problems.

    Independent result from LLM Stats.

  • BrowseComp84.3%

    Questions whose answers are hidden deep on the web and take many searches and pages to track down.

    15th of 56. The maker's own number, from Anthropic, via LLM Stats.

  • MCP Atlas82.2%

    Multi-step tasks where the model has to pick and combine many real tools, connected through MCP, the standard way agents plug into apps and data.

    6th of 33. The maker's own number, from Anthropic, via LLM Stats.

  • SWE-Bench Pro69.2%

    Long changes to real codebases in several languages, often across many files, including code from private and copyleft projects that models are unlikely to have seen.

    5th of 50. The maker's own number, from Anthropic, via LLM Stats.

  • Humanity's Last Exam57.9%

    About 2,500 questions written by experts in more than a hundred fields to be as hard as they could make them, many needing a diagram or image.

    7th of 74. The maker's own number, from Anthropic, via LLM Stats.

  • Vending-Bench 2$5,787

    The model runs a simulated vending machine business for a year on its own: finding suppliers, ordering stock, setting prices and paying the daily fees.

    26th of 60. Independent result from Epoch AI.

  • OSWorld-Verified83.4%

    Ordinary tasks on a real desktop computer using normal apps: a browser, a spreadsheet, an email client, a photo editor, the file manager.

    4th of 25. The maker's own number, from Anthropic, via LLM Stats.

  • Toolathlon59.9%

    Long tasks across many real apps and their tools, such as email, calendars, spreadsheets, code repositories and online stores.

    9th of 37. The maker's own number, from Anthropic, via LLM Stats.

19 more results in its full profile.

Every result with its source, what it costs per task, what jumped with its release, side by side with any other model, and answers to your questions about when to use it.

Models ranked near it

How the rating works, and every benchmark it uses: the model leaderboard.