Claude Opus 5 Released: Near Fable 5 Intelligence at Half Price, Proactively Builds Computer Vision Pipeline
Score
72提供了新模型的官方细节和独特案例，但信息仍限于官方声明，缺乏第三方评测。
博客作者个人评论与官方信息结合，结构清晰，但内容较为简短。
对开发者了解模型特性、成本与自主编程能力有直接参考意义。
内容在模型发布当天即被报道，时效性极强。
Simon Willison 是知名技术博主，但非官方渠道，信源可靠但需交叉验证。
Base 79.5 × T2 Source weight ×0.9 = 72
Curation line 70Selected
Why selected
High information gain with official release details and a unique anecdote, but lacks independent benchmark verification.
AI commentary
「If you care about the balance between cost and capability of large models, this release is worth a look—Claude Opus 5 approaches flagship performance at half the price, and its proactive coding hints at a new level of AI autonomy. The deliberate security limitation is also intriguing, particularly important for AI governance researchers.」
Quick overview
Anthropic has released Claude Opus 5, claiming it approaches the intelligence of flagship model Claude Fable 5 at half the price and surpasses Fable 5 on the Artificial Analysis leaderboard. It is priced the same as Opus 4.8 and offers a fast mode. A standout anecdote: given a drawing without direct access, the model wrote its own computer vision pipeline to extract geometry from pixels and reconstruct a 3D model. In cybersecurity, Opus 5 nears Mythos 5 in vulnerability detection but is untrained in exploitation. Anthropic also published a prompting guide.
- Claude Opus 5 leads the Artificial Analysis leaderboard, surpassing Claude Fable 5.
- Priced the same as Opus 4.8, with a fast mode at double cost.
- The model proactively writes computer vision pipelines to reconstruct 3D models from pixels.
- Significantly improved at finding vulnerabilities, but deliberately not trained to exploit them.
Full text
Showing the source text; the full translation is being generated.
It's priced the same as Opus 4.8, and continues to offer a "fast mode" at twice the cost of the base model.
Based on this anecdote in the release post it sounds like it might be relentlessly proactive:
On one Frontier-Bench task, Opus 5 was given a drawing of a machine part and asked to write code to rebuild it as a 3D FreeCAD model. However, in this task, the model was intentionally given no way to directly viewthe drawing. Opus 5 responded by writing its own computer vision pipeline to pull the geometry from the raw pixels, then reconstructed the full machine part.
It's better at finding vulnerabilities but has deliberately not been trained on how to exploit them. Hopefully this means the US government won't shut it down!
As with its predecessor, Opus 4.8, we’ve intentionally avoided training Opus 5 on cyber tasks. The model has nevertheless improved substantially on these tasks as a result of becoming more generally capable, and it comes close to Mythos 5 at finding cybersecurity vulnerabilities. However, it remains substantially behind Mythos 5 on the exploitation of those vulnerabilities—that is, in turning vulnerabilities into material cyber threats.
Anthropic have published a prompting guide for Claude Opus 5.
The first pelican I got was missing the bicycle wheels; the second attempt was better.
Tags: ai, generative-ai, llms, anthropic, claude, llm-release
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