LlamaParse解析PDF图表又快又准，比用Opus 5自己解析便宜好几倍，还更靠谱。
Opus 5系统卡PDF共193页，包含大量标签和未标注图表。LlamaParse在agentic模式下每页1.25美分，agentic plus模式下5.6美分，解析各类线图和柱状图准确率接近100%。相比之下，Opus 5自身解析图表准确率下降20-30%，成本每页8美分至33美分以上。LlamaParse生成的机器可读数据可直接喂给下游系统。
The Opus 5 system card itself is a fun PDF to parse. It's 193 pages and stacked with labeled and unl...
The Opus 5 system card itself is a fun PDF to parse. It's 193 pages and stacked with labeled and unlabeled charts 📊 LlamaParse does a surprisingly good job on agentic (1.25c per page) and agentic plus modes (5.6c per page). Take a look at some of the screenshots below. It can parse a variety of unlabeled line and bar charts with almost 100% accuracy. There are minor deltas with one or two datapoints, but the rest is pretty accurate machine-readable context that you can feed to downstream systems. In contrast I also tried using Opus 5 itself to parse its own PDF. The chart accuracy is worse (20-30% reduction in ParseBench), and is a lot more expensive: it can cost anywhere from 8c to 33c+ per page depending on the thinking mode. If you're interested in giving LlamaParse a try, come check it out! cloud.llamaindex.ai 8 Claude @claudeai Introducing Claude Opus 5. It's a thoughtful and proactive model that comes close to the frontier intelligence of Fable 5 at half the price. Your browser does not support the video tag. 🔗 View on Twitter 🔗 View Quoted Tweet 💬 1 🔄 2 ❤️ 13 👀 1655 📊 3 ⚡