LM Arena Proves Claude Opus 5 Writes 3x More but Simpler
Arena.ai analyzed tens of thousands of Claude outputs and found Opus 5 writes 3x longer, uses 2.3x more em dashes, and has grown structurally complex but lexically simpler than Opus 4.5.

- 3x longer responses: Claude Opus 5 averages 510 words per response vs. 158 for Opus 4.5, based on Arena.ai's analysis of tens of thousands of real outputs.
- Structurally complex, lexically simpler: Sentence length up 58%, clause frequency up 46%, but abstract nouns dropped 53% and long content words fell 6.8 percentage points.
- Signature tics quantified: Opus 5 uses 2.3x more em dashes, ~2x more phrases like "load-bearing,
Claude's writing has been changing under the hood, and now there's data to prove it. Arena.ai analyzed tens of thousands of real-world, high-reasoning outputs from Claude Opus 4.5 and Opus 5 collected through its Text Arena, and the results paint a clear picture: Opus 5 writes more, structures sentences more elaborately, but actually uses simpler vocabulary than its predecessor.
What Arena actually is
Arena (formerly Chatbot Arena) is a public, web-based platform that evaluates large language models. Users enter prompts for two anonymous models to respond to and vote on the model that gave the better response, after which the models' identities are revealed. As of early 2026, Arena has over 5 million monthly active users across 150 countries and processes more than 60 million conversations per month. That scale means the writing data they're pulling from is genuinely representative of how these models behave in the wild, not in a lab.
The numbers: longer, more elaborate, but simpler words
The headline stat is hard to ignore. Opus 5 averages 510 words per response, compared to 158 for Opus 4.5. That's a 3x increase in output length. But the shift goes deeper than just word count:
- 58% rise in average sentence length from Opus 4.5 to Opus 5
- 46% rise in clause frequency (how often sentences contain embedded sub-clauses)
- 6.8 percentage point drop in long content words (from 46.9% to 40.1%)
- 53% drop in abstract nouns (from 6.02 to 3.79 per 1,000 words)
That last pair is the surprising twist. Opus 5 is building longer, more structurally complex sentences, but filling them with simpler, more concrete words. The model is becoming more elaborate in structure while becoming more accessible in vocabulary. Whether that's a deliberate design choice or an emergent artifact of training is an open question.