[KongchangAI]
ModelClaude Opus

Opus

Opus is a high-end large language model released by Anthropic and represents the flagship tier within the Claude model family. It is designed to handle highly complex tasks, featuring strong reasoning, analysis, writing, and programming capabilities, making it suitable for professional scenarios that require deep comprehension and multi-step thinking. Within the Claude series, Opus occupies the highest performance tier and targets users and enterprise applications with demanding capability requirements.

Core Facts

Timeline (last 90 days)

Oct 29

In Opus's first SWE-bench Pro run, in 63% of successful runs the Agent retrieved an existing fix rather than actually fixing the bug.

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Oct 28

On the Arena Agent Leaderboard, Gemini 4 Carbon ranks second, behind Opus.

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Oct 28

Claude Code's `/model` command can switch between different models, such as the speed-focused Haiku or the more capable Opus.

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Oct 28

In Claude Code, the Haiku model supports a context of about 256,000 tokens, while Opus and Fable reach about 1 million tokens.

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Oct 25

DeepSeek 4.1 Flash is the first model to pass the 'find the frog' visual test, which closed-source models including the Opus and GPT series had previously failed to find.

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Oct 25

Opus's per-token price is typically several times that of Sonnet.

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Oct 25

Managed Agents' Agent model options include Opus, Sonnet, and Haiku, and the basic tool set typically includes bash, read, write, and grep.

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Oct 24

On Terminal bench, Anthropic reports Sonnet 5.5 at 70.6%, Artificial Analysis independently measured 64, and Argon at 57; on Val's leaderboard Opus is first and Sonnet second.

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Oct 24

On 36 small verification tasks, Opus 5.5 used about 40% fewer tokens than Opus at the halfway point.

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Oct 23

The route skill evaluates tasks, assigns suitable work to Sonnet or Haiku, and then Opus reviews the results.

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40 more timeline events

All Facts (20)

Verified

The Claude Opus 4 series is Anthropic's flagship large language model series launched in 2025

90%
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Anthropic's Claude models use a tiered naming system: Opus (most powerful), Sonnet (balanced), and Haiku (lightweight and fast)

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Claude 3.5 Sonnet is a model released by Anthropic in 2024 that surpassed the contemporaneous GPT-4o on the code generation benchmark HumanEval

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Opus is a codec standardized by the IETF in 2012, supporting variable bit rates from 6 kbps to 510 kbps, based on a hybrid SILK and CELT architecture.

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

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Pstack's design phase uses the architect skill to call multiple models and multiple AI agents to each output a design plan, then uses the interrogate skill to cross-evaluate and aggregate them into a unified report.

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In the deep audit benchmark, Sonnet 5.5's cost is approximately half that of Opus, its score is slightly higher than Opus, and it takes about 5 minutes (roughly half the time Opus takes).

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思考模型在输出前会经历内部链式推理(Chain-of-Thought)过程,在数学证明、代码调试、复杂逻辑推理等任务上表现优于标准模型,代价是延迟更高、计算成本更大

65%
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Anthropic uses the capability-tier naming of Claude 3 Haiku/Sonnet/Opus, corresponding to three inference cost tiers: speed-first, balanced, and performance-first, respectively.

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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.

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In Anthropic's model naming system, Opus represents the most powerful version, Sonnet is the mid-tier version, and Haiku is the lightweight version.

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Unverified

Anthropic's Claude model naming system borrows from musical terminology: Haiku (lightweight and fast), Sonnet (balancing performance and speed), Opus (highest performance)

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Anthropic推荐使用编排器+子代理架构,用推理能力强的模型负责规划决策,用Sonnet或Haiku执行具体点击操作

90%
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在Anthropic的模型体系中,Opus系列定位为最高能力层级的模型,在推理深度、代码生成质量和长上下文理解方面优于Sonnet和Haiku系列

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Partially Verified

Sonnet 5.5 is on par with Opus 5.5 in offensive and defensive cybersecurity capabilities, making it the first model in the Sonnet series to adopt equivalent cybersecurity protection mechanisms.

65%
Unverified

The core components of Claude Code include three parts: the model (Opus or Sonnet), the toolset (file read/write, search, command execution, etc.), and the runtime environment (local command-line terminal).

60%
Unverified

Anthropic's model product line forms a three-tier structure of Haiku → Sonnet → Opus

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Unverified

In Anthropic's model naming system, Opus, Sonnet, and Haiku correspond to high, medium, and low tiers of capability and cost respectively.

60%
Unverified

In Opus's first SWE-bench Pro run, in 63% of successful runs the Agent retrieved an existing fix rather than actually fixing the bug.

50%
Unverified

On the Arena Agent Leaderboard, Gemini 4 Carbon ranks second, behind Opus.

50%

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