Claude Opus
Core Facts
Claude Opus is a flagship large language model launched by Anthropic and is the version in the Claude series with the largest parameter scale and strongest reasoning capability.
The Opus series, together with Sonnet (balanced) and Haiku (lightweight), form Anthropic's three-tier product matrix
The API pricing for Opus-tier models is typically 3–5 times that of the mid-tier Sonnet.
Timeline (last 90 days)
All six compared models claim a context window of about 1 million tokens.
Choose models by task rather than by price: Argon for mixed input and application experiments, Opus for terminal workflows, Astra for hard engineering tasks, and Sonnet or Sol for speed- and budget-sensitive work.
On Vibe Code Bench, Argon scored 91.9 while Opus and Fable scored 90.3, so Argon's advantage is slight and covers only one type of coding task.
On the Terminal Bench terminal task test, Gemini 4 Argon scored 57.4%, below Claude Opus 5.5's 66.4%.
The developer's Agent was connected to Slack, Notion, HubSpot and internal APIs; GPT-5.4 frequently called the wrong functions, and after switching to Claude Opus the problem persisted but improved slightly.
By removing half the tools and tightening the schema definitions, a developer noticeably improved the Agent tool-calling accuracy of GPT-5.4 and Claude Opus, while increasing prompt length did not improve the behavior.
The models involved in this retirement include Gemini 3.1 Pro, three Claude Opus/Sonnet versions, and Raptor Mini, with a retirement date of September 1.
A developer used Claude Opus to build a personal toolset called Neural9 Hub in a vibe coding manner, generating features through prompts while hardly ever manually viewing or modifying the code.
DeepEval's G-Eval judge (using Claude as the model) also showed leakage: Haiku 4.5 leaked on all 3 cases, and Sonnet and Opus leaked on 2 of the 3.
In the same ancient Roman 3D scene construction task, Gemini 4 finished in about 5 minutes, while Claude (Opus version, thinking level set to maximum) took over an hour, a difference of about 10 times.
40 more timeline events
All Facts (20)
Claude Opus is a flagship large language model launched by Anthropic and is the version in the Claude series with the largest parameter scale and strongest reasoning capability.
80%VerifiedThe Opus series, together with Sonnet (balanced) and Haiku (lightweight), form Anthropic's three-tier product matrix
75%VerifiedThe API pricing for Opus-tier models is typically 3–5 times that of the mid-tier Sonnet.
70%VerifiedWithin Anthropic's product line, the Opus series focuses on the strongest reasoning capability, the Haiku series focuses on being lightweight and fast, and the Sonnet series strikes a balance between the two.
65%UnverifiedAnthropic的模型产品线形成Haiku → Sonnet → Opus的三层级结构
95%UnverifiedSonnet并非Anthropic的顶级模型，Opus才是Anthropic的顶级模型
90%UnverifiedClaude Code通过npm安装，基于Claude Sonnet/Opus模型运行
90%UnverifiedFor Claude Opus, input pricing is $15 per million Tokens and output is $75 per million Tokens
85%UnverifiedThe Claude Opus series has built a strong reputation in reasoning ability and code generation
75%Partially VerifiedAnthropic's Claude Opus is the flagship version of its Claude model family, positioned to handle the most complex reasoning, analysis, and creative tasks
70%UnverifiedUsing top-tier models like Claude Opus or GPT-4 for simple tasks is the most common source of Token waste in Cursor
70%Partially VerifiedOn the Terminal Bench terminal task test, Gemini 4 Argon scored 57.4%, below Claude Opus 5.5's 66.4%.
65%UnverifiedWithin the Claude series, Opus-tier models excel at complex architectural reasoning and handling ambiguous requirements but have a higher unit price, while Sonnet-tier models are suited for everyday tasks and workflow execution and offer the best cost-effectiveness.
60%UnverifiedA benchmark test conducted by Databricks on their own codebase of one million lines showed that Pi outperformed Claude Code and Codex in most scenarios, with the Pi + Claude Opus combination achieving the highest code quality.
60%UnverifiedThe combination of OpenAI's GPT-4o and GPT-4o-mini, and the combination of Anthropic's Claude Opus and Haiku, are typical practices of a hybrid deployment strategy.
60%Unverified采用分层模型使用策略（高频任务用轻量模型、关键任务用高级模型）可以将额度使用效率提升3-5倍
60%UnverifiedWhen Claude Opus is used with Max mode, the token consumption of a single request can be several times or even more than ten times that of normal mode.
60%UnverifiedAll six compared models claim a context window of about 1 million tokens.
50%UnverifiedOn Vibe Code Bench, Argon scored 91.9 while Opus and Fable scored 90.3, so Argon's advantage is slight and covers only one type of coding task.
50%UnverifiedChoose models by task rather than by price: Argon for mixed input and application experiments, Opus for terminal workflows, Astra for hard engineering tasks, and Sonnet or Sol for speed- and budget-sensitive work.
50%