Claude 3.5 Sonnet for Research - is it any good?

Claude 3.5 Sonnet is positioned as a research assistant with “graduate level reasoning,” improved vision, and new “artifacts,” but its performance across common academic workflows lands closer to a C+ than a replacement for established tools. The biggest gap is reliability on research-specific tasks: when asked to find the most relevant peer-reviewed papers on transparent electrodes, it fails to actually retrieve papers and instead offers generic guidance—an outcome that makes it a poor fit against search-first competitors like Perplexity.

Where Claude 3.5 does help, it tends to deliver scaffolding rather than depth. For a literature review outline on OPV devices, it produces a usable structure, but the bullet points stay thin compared with what ChatGPT can generate when asked to expand each section. In academic editing, Claude performs better: it offers supportive, professional feedback on an abstract draft and then tightens the writing while preserving key information and emphasizing significance—useful for revision, even if it still feels more like editing help than research-grade synthesis.

Vision is another mixed bag. Claude promises improved state-of-the-art vision, and when given five research figures, it can interpret what’s in the images and propose an ordering that follows a narrative arc (e.g., fabrication process, microscopy, then electrical performance plots). It even explains why the sequence makes sense based on captions and content. Still, it misorders at least one figure relative to the user’s intended labeling, and the overall experience doesn’t match the convenience and depth users get from ChatGPT or Perplexity’s vision/search workflows.

Claude also handles paper comprehension and “next steps” reasonably well. After uploading a peer-reviewed paper, it provides a simplified explanation and can suggest follow-on research directions such as optimizing cooling rates, scaling up studies, and assessing long-term stability—exactly the kind of gap-finding researchers need. But the summary quality is described as merely “okay,” not transformative.

The “artifacts” angle—marketed with examples that look like image generation—turns into a frustration point. Claude refuses to create or manipulate images in the way the user expects, even when asked for a poster layout or an SVG-based graphic. It can output a rough pseudo-SVG template, but it doesn’t deliver a functional, researcher-ready artifact. The bottom line: Claude 3.5 Sonnet is useful for writing and light editing, and it can interpret figures, but it still falls short as a full research copilot compared with tools that can reliably search literature and produce richer, more actionable outputs.