[KongchangAI]
Model

Claude Opus

Core Facts

Timeline (last 90 days)

Oct 14

In Coinbase's benchmark, the newer Opus, Sonnet and GPT versions all underperform the previous version on recall, F1 and amount-weighted recall.

Unverified50%
Oct 14

Grok Bot will from now on call the most suitable backend model for different tasks, including leading APIs such as Claude Opus, Midjourney and Suno.

Unverified50%
Oct 12

The Claude series of models is divided into three tiers: Haiku (lightweight, fast, cheap), Sonnet (balanced), and Opus (most powerful, most expensive), with naming continuing the poetic genre.

Unverified50%
Oct 12

Claude allocates different usage quotas by subscription tier (Free, Pro, Max), with Opus consuming the fastest and Haiku the slowest; standalone features such as Claude Code and Design often have separate usage pools calculated independently from regular conversations.

Unverified50%
Oct 12

Claude Opus excels at complex logical reasoning and deep programming tasks but consumes the most resources; Sonnet is suited to general writing scenarios; Haiku targets lightweight tasks with faster response times.

Unverified50%
Oct 11

The lowest-cost gemini-3.7-flash (2.0 cents per family) outperformed all Claude Opus models (3.9–5.4 cents) in consistency, indicating that price is almost no predictor of consistency.

Unverified50%
Oct 11

During a Hugging Face security incident, the Claude Opus and Fable models rejected the majority of vulnerability investigation work due to their guardrail mechanisms, and the team ultimately switched to GLM-5.2 running on their own hardware to continue making progress.

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Oct 11

The author acknowledges that none of these projects have been publicly released, and that virtually anyone could vibe-code an identical version in an instant using Opus and Astra.

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Oct 9

When models like Opus absorb Descope's documentation and MCP knowledge during training, they can internally determine that Descope is superior to competitors without needing to search the web.

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Oct 9

Musk announced that Grokbot will use the best backend model for any task, including Claude Opus, Midjourney, Suno, and other leading APIs.

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40 more timeline events

All Facts (20)

Verified

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%
Verified

The Opus series, together with Sonnet (balanced) and Haiku (lightweight), form Anthropic's three-tier product matrix

75%
Verified

The API pricing for Opus-tier models is typically 3–5 times that of the mid-tier Sonnet.

70%
Verified

Within 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%
Unverified

Anthropic的模型产品线形成Haiku → Sonnet → Opus的三层级结构

95%
Unverified

Sonnet并非Anthropic的顶级模型,Opus才是Anthropic的顶级模型

90%
Unverified

Claude Code通过npm安装,基于Claude Sonnet/Opus模型运行

90%
Unverified

For Claude Opus, input pricing is $15 per million Tokens and output is $75 per million Tokens

85%
Unverified

The Claude Opus series has built a strong reputation in reasoning ability and code generation

75%
Partially Verified

Anthropic's Claude Opus is the flagship version of its Claude model family, positioned to handle the most complex reasoning, analysis, and creative tasks

70%
Unverified

Using top-tier models like Claude Opus or GPT-4 for simple tasks is the most common source of Token waste in Cursor

70%
Unverified

Within 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%
Unverified

A 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%
Unverified

The 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%
Unverified

When 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%
Unverified

In Coinbase's benchmark, the newer Opus, Sonnet and GPT versions all underperform the previous version on recall, F1 and amount-weighted recall.

50%
Unverified

The Claude series of models is divided into three tiers: Haiku (lightweight, fast, cheap), Sonnet (balanced), and Opus (most powerful, most expensive), with naming continuing the poetic genre.

50%
Unverified

Claude Opus excels at complex logical reasoning and deep programming tasks but consumes the most resources; Sonnet is suited to general writing scenarios; Haiku targets lightweight tasks with faster response times.

50%
Unverified

Claude allocates different usage quotas by subscription tier (Free, Pro, Max), with Opus consuming the fastest and Haiku the slowest; standalone features such as Claude Code and Design often have separate usage pools calculated independently from regular conversations.

50%

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