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
Anthropic's Claude models use a tiered naming system: Opus (most powerful), Sonnet (balanced), and Haiku (lightweight and fast)
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.
The Opus series, together with Sonnet (balanced) and Haiku (lightweight), form Anthropic's three-tier product matrix
Timeline (last 90 days)
On MemoryBench, Wonder defeated Fable, Opus, and Astra; on the Artificial Analysis index, Wonder Full ranks second, behind only Opus 5.5.
In the TS Rust compiler project, after collaboration among more than 115 agents, Muse took on most routine repair work while Opus handled high-risk design decisions, and in the end Opus gave Muse a B+ and gave itself an A-.
In a debugging task involving a remote update failure bug, Sol completely misjudged the problem, Opus produced verbose output, and Muse gave a clear root cause analysis and fix recommendation in an extremely concise format, and also found a more concise fix PR already submitted by another developer.
In a PR review comparison test, Opus found 23 valid issues (including 8 nits), Muse found 16, and Sol found only 9.
The creator believes Muse Wonder Full is the third player in the frontier model race, describes it as "frontier-ish," and is willing to let it be the daily main model while using Opus for review on critical tasks.
In terms of per-task cost, Muse Wonder Max is $4.52, Sonnet, Opus, and Fable have the highest per-task cost at $7.63, and GPT 6.1 Sol Max is only $0.72 per task.
On the OS World benchmark, Muse Wonderful scored 78.4, Muse Wonder scored 72.6, Fable 5.1 scored 80, Astra scored 75, and Opus scored 81.
On Terminal Bench, the two Muse models scored 57.1 and 52 respectively, roughly on par with the 52 to 59 range of Fable, Astra, and Opus.
GPT-6 Astra (max effort) ranks 62nd on the overall leaderboard, with a tone and voice score of 82, while Opus has a tone and voice score of 90.
In Meta's internal memory tests, Muse Wonder outperformed systems such as Fable, Opus, and Astra.
40 more timeline events
All Facts (20)
Anthropic's Claude models use a tiered naming system: Opus (most powerful), Sonnet (balanced), and Haiku (lightweight and fast)
80%VerifiedOpus 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.
75%VerifiedThe Opus series, together with Sonnet (balanced) and Haiku (lightweight), form Anthropic's three-tier product matrix
75%VerifiedSonnet 5.5's cache read cost remained at $0.20 per million tokens with no reduction, whereas Fable 5.1 cut it by 90% and Opus cut it by approximately 60%.
65%VerifiedIn 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).
65%Verified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%VerifiedAnthropic uses the capability-tier naming of Claude 3 Haiku/Sonnet/Opus, corresponding to three inference cost tiers: speed-first, balanced, and performance-first, respectively.
65%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%VerifiedIn Anthropic's model naming system, Opus represents the most powerful version, Sonnet is the mid-tier version, and Haiku is the lightweight version.
65%UnverifiedAnthropic的模型产品线形成Haiku → Sonnet → Opus的三层级结构
95%UnverifiedAnthropic's Claude model naming system borrows from musical terminology: Haiku (lightweight and fast), Sonnet (balancing performance and speed), Opus (highest performance)
90%UnverifiedAnthropic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%Unverified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
90%Partially VerifiedSonnet 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%UnverifiedThe 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%UnverifiedIn Anthropic's model naming system, Opus, Sonnet, and Haiku correspond to high, medium, and low tiers of capability and cost respectively.
60%UnverifiedOn MemoryBench, Wonder defeated Fable, Opus, and Astra; on the Artificial Analysis index, Wonder Full ranks second, behind only Opus 5.5.
50%UnverifiedThe creator believes Muse Wonder Full is the third player in the frontier model race, describes it as "frontier-ish," and is willing to let it be the daily main model while using Opus for review on critical tasks.
50%UnverifiedIn a PR review comparison test, Opus found 23 valid issues (including 8 nits), Muse found 16, and Sol found only 9.
50%UnverifiedOn the OS World benchmark, Muse Wonderful scored 78.4, Muse Wonder scored 72.6, Fable 5.1 scored 80, Astra scored 75, and Opus scored 81.
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