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Claude Opus 4.8 - Anthropic's flagship large language model

Claude Opus 4.8 is Anthropic's flagship large language model. Building upon Opus 4.7, it improves judgment, honesty, and long-term independent operation capabilities, performing well in benchmark tests such as programming, agent reasoning, and multidisciplinary reasoning...

What is Claude Opus 4.8?

Claude Opus 4.8 is Anthropic's flagship large language model, which improves judgment, honesty, and long-term independent operation capabilities on the basis of Opus 4.7. It comprehensively outperforms GPT-5.5 and Gemini 3.1 Pro in benchmark tests such as programming, agent reasoning, and multidisciplinary reasoning. The API price remains unchanged, and the cost of the high-speed mode is reduced to one-third.

Main features of Claude Opus 4.8

  • Intelligent agent programmingIt achieves 69.2% on SWE-Bench Pro, supporting the autonomous completion of end-to-end software engineering tasks.
  • Terminal EncodingTerminal-Bench 2.1 scored 74.6%, demonstrating powerful command-line tool usage and script writing capabilities.
  • Multidisciplinary reasoningHumanity’s Last Exam has a 49.8% success rate without tools and a 57.9% success rate with tools, surpassing all mainstream competitors.
  • Intelligent agent computers useOSWorld-Verified score: 83.4%, capable of autonomously operating a graphical interface to complete complex tasks.
  • Knowledge workGDPval-AA score of 1890 indicates the best performance in practical work scenarios such as document analysis and in-depth research.
  • Intelligent agent financial analysisFinance Agent v2 scores 53.9%, supporting complex financial statement reasoning and high-precision referencing.
  • Dynamic WorkflowClaude Code allows for the autonomous planning and parallel launch of hundreds of sub-agents to handle massive tasks.
  • Input controlUsers can manually adjust the model's depth of thought and resource consumption level (low/high/extra/maximum).
  • Extreme Speed ModeThe running speed is increased to 2.5 times that of the normal mode, and the API cost is only one-third of the previous generation's high-speed mode.

Technical principles of Claude Opus 4.8

  • Honesty Alignment TrainingBy specifically training the model, the probability of it making unfounded assertions is reduced, and its own uncertainty is actively labeled.
  • Security assessmentA thorough alignment assessment was conducted before release, and the rate of misalignment was on par with Mythos Preview.
  • Parallel architecture of sub-agentsThe dynamic workflow adopts a distributed architecture with a main intelligent agent scheduling and hundreds of sub-intelligent agents executing in parallel.
  • Long-term operation supportIt supports continuous task execution for several days, and can be recovered after interruption, making it suitable for large-scale code migration.
  • System Entries APIThe Messages API supports receiving system entries in a dialog array, enabling dynamic updates of runtime instructions.
  • Multimodal fusionIt possesses the ability to directly reason about unstructured content such as PDFs and charts, demonstrating multimodal understanding and reasoning skills.

How to use Claude Opus 4.8

  • API Access: By calling the Anthropic API, input $5 per million Tokens, output $25 per million Tokens.
  • Start dynamic workflowTo start a large-scale parallel task, enter the keyword "workflow" in the Claude Code environment.
  • Adjusting inputSwitch between low/high/extra/maximum commitment levels next to the model selector for claude.ai and Claude Code.
  • Switch to high-speed modeSelect Fast Mode in the API or client to run at 2.5 times faster and at a lower cost.
  • Enterprise Edition PermissionsDynamic workflows are currently available to Enterprise, Team, and Max edition users.
  • Third-party platform useIDEs such as Cursor have been launched in Opus 4.8 and can be switched directly in the development environment.

Claude Opus 4.8's core advantages

  • Leading in all benchmarksIt outperforms GPT-5.5 and Gemini 3.1 Pro in 5 out of 6 core benchmark tests.
  • Honesty significantly improvedThe probability of code defects not being pointed out has been reduced to about a quarter of that in the previous generation, significantly reducing the risk of hallucinations.
  • Long-duration mission reliabilityIt supports continuous operation for several days and can handle large-scale cross-language migration projects with hundreds of thousands of lines of code.
  • Cost controllableThe price remains unchanged in the regular mode, while the cost of the express mode is reduced to one-third, and the token consumption efficiency is improved by about 25%.
  • Optimal safe alignmentThe misalignment rate is significantly lower than Opus 4.7, achieving the best security level currently available in Anthropic.
  • Flexible inputUsers can freely adjust the depth of the model's thinking according to the difficulty of the task, achieving the best balance between quality and speed.

Claude Opus 4.8 project address

  • Project official websitehttps://www.anthropic.com/news/claude-opus-4-8

Comparison of Claude Opus 4.8 with similar competing products

Dimension Claude Opus 4.8 GPT-5.5 Gemini 3.1 Pro
Intelligent Agent Programming (SWE-Bench Pro) 69.2% 58.6% 54.2%
Terminal Encoding (Terminal-Bench 2.1) 74.6% 78.2% 70.3%
Multidisciplinary Reasoning (Humanity’s Last Exam, with tools) 57.9% 52.2% 51.4%
Intelligent agent computers use (OSWorld) 83.4% 78.7% 76.2%
Knowledge work (GDPval-AA) 1890 1769 1314
Financial Agent v2 53.9% 51.8% 43.0%
Enter the price (per million tokens) $5 Pending confirmation Pending confirmation
Output price (per million tokens) $25 Pending confirmation Pending confirmation
High-speed mode cost Previous generation 1/3
Dynamic Workflow
Input control

Application scenarios of Claude Opus 4.8

  • Large-scale code migrationUse dynamic workflows to port hundreds of thousands of lines of code across languages, such as the migration of Bun from Zig to Rust.
  • Enterprise software developmentIt serves as the backend model for IDEs such as Cursor, assisting in the completion of end-to-end software engineering tasks.
  • Complex Financial AnalysisIt provides a workflow for handling dense financial reports and legal documents, offering high-precision citations and inferences.
  • In-depth academic researchProvides high-quality analysis in multidisciplinary reasoning tasks at the Humanity’s Last Exam level.
  • Legal professional servicesHandle high-risk, substantive legal work on legal agent platforms such as CoCounsel Legal.
  • Data and Knowledge WorkDirectly infer unstructured content such as PDFs and charts in AI agents such as Databricks Genie.