claude-opus-4-20250514
Claude Opus 4Release Date
May 22nd, 2025Context Size
200kReasoning
NoBenchmark Cost
$69.41Speed
–Categories
Subcategories
Bad Writing Habits
Detects common prose quality anti-patterns in AI-generated creative writing, including passive voice, past progressive overuse, weak dialogue tags, filter words, purple prose, cliches, AI-ism words/adverbs/names, and more.
| Scenario | #1 | #2 | #3 | #4 | #5 | Total |
|---|---|---|---|---|---|---|
| Detailed Writing Rules | ||||||
| 91 | 87 | 85 | 79 | 77 | 84% | |
| 90 | 88 | 87 | 85 | 84 | 87% | |
| 94 | 94 | 92 | 90 | 89 | 92% | |
| 92 | 91 | 89 | 86 | 85 | 88% | |
| 94 | 89 | 86 | 85 | 85 | 88% | |
| 91 | 89 | 88 | 85 | 78 | 86% | |
| Detailed Writing Rules | 87.49% | |||||
| genre | ||||||
| 78 | 77 | 73 | 73 | 69 | 74% | |
| 82 | 79 | 78 | 78 | 77 | 79% | |
| 86 | 84 | 83 | 78 | 77 | 82% | |
| 85 | 85 | 84 | 83 | 77 | 83% | |
| 88 | 86 | 84 | 82 | 82 | 85% | |
| 87 | 85 | 80 | 78 | 76 | 81% | |
| genre | 80.54% | |||||
| Novelcrafter Default Prompt | ||||||
| 80 | 78 | 78 | 77 | 72 | 77% | |
| 86 | 86 | 85 | 79 | 76 | 83% | |
| 85 | 84 | 84 | 82 | 80 | 83% | |
| 85 | 85 | 81 | 81 | 80 | 82% | |
| 89 | 87 | 86 | 86 | 82 | 86% | |
| 89 | 85 | 84 | 83 | 82 | 85% | |
| Novelcrafter Default Prompt | 82.56% | |||||
| 83.53% | ||||||
Codex Extraction
Evaluates a model's ability to extract structured codex entries (characters, locations, objects, lore) from prose passages and return them as well-formed XML.
| Scenario | #1 | #2 | #3 | #4 | #5 | Total |
|---|---|---|---|---|---|---|
| 98 | 98 | 98 | 98 | 98 | 98% | |
| 99 | 98 | 97 | 96 | 96 | 97% | |
| 98 | 97 | 97 | 97 | 97 | 97% | |
| 100 | 100 | 100 | 99 | 98 | 99% | |
| 97.85% | ||||||
Codex Red Herring (False Positive Detection)
Tests whether models correctly report "no violations" when a codex is fully consistent with the prose passage. Models that hallucinate false violations (false positives) fail. Uses a 2×2 matrix of text length × codex size, with bare and detailed-entry variants.
| Scenario | #1 | #2 | #3 | #4 | #5 | #6 | #7 | #8 | #9 | #10 | Total |
|---|---|---|---|---|---|---|---|---|---|---|---|
| basic entries | |||||||||||
| 38 | 35 | 31 | 13 | 13 | 10 | 8 | 8 | 8 | 5 | 17% | |
| 50 | 50 | 42 | 42 | 42 | 38 | 13 | 13 | 13 | 10 | 31% | |
| 50 | 25 | 25 | 25 | 25 | 25 | 25 | 25 | 25 | 25 | 28% | |
| 25 | 25 | 25 | 17 | 17 | 17 | 17 | 17 | 13 | 13 | 18% | |
| basic entries | 23.40% | ||||||||||
| detailed entries | |||||||||||
| 50 | 42 | 38 | 35 | 13 | 13 | 13 | 10 | 10 | 7 | 23% | |
| 50 | 42 | 42 | 38 | 38 | 38 | 17 | 13 | 13 | 7 | 29% | |
| 100 | 50 | 50 | 50 | 17 | 17 | 17 | 17 | 17 | 13 | 35% | |
| 100 | 100 | 25 | 25 | 25 | 17 | 17 | 17 | 17 | 17 | 36% | |
| detailed entries | 30.69% | ||||||||||
| 27.04% | |||||||||||
Codex Violation Detection
Detects factual inconsistencies between a story bible and prose passages. The model must output structured XML identifying each violation with paragraph number and substring.
| Scenario | #1 | #2 | #3 | #4 | #5 | #6 | #7 | #8 | #9 | #10 | Total |
|---|---|---|---|---|---|---|---|---|---|---|---|
| matrix | |||||||||||
| 96 | 94 | 92 | 91 | 90 | 90 | 87 | 87 | 86 | 84 | 90% | |
| 98 | 96 | 94 | 91 | 89 | 89 | 89 | 89 | 85 | 82 | 90% | |
| 97 | 88 | 88 | 88 | 88 | 84 | 84 | 79 | 79 | 79 | 85% | |
| 100 | 100 | 100 | 100 | 92 | 92 | 92 | 92 | 92 | 92 | 95% | |
| matrix | 90.11% | ||||||||||
| tiers | |||||||||||
| 100 | 100 | 100 | 100 | 100 | 83 | 83 | 83 | 83 | 83 | 92% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 92 | 99% | |
| 96 | 96 | 96 | 88 | 88 | 88 | 88 | 85 | 85 | 85 | 90% | |
| 100 | 100 | 97 | 92 | 92 | 92 | 92 | 88 | 84 | 83 | 92% | |
| tiers | 93.08% | ||||||||||
| 91.59% | |||||||||||
Data extraction
Extract key details from a given block of text.
| Scenario | #1 | #2 | #3 | #4 | #5 | #6 | #7 | #8 | #9 | #10 | Total |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 0 | 0 | 0 | 0 | 0 | 50% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 91.67% | |||||||||||
Dialogue tags
Various tasks related to dialogue tags in text.
| Scenario | #1 | #2 | #3 | #4 | #5 | #6 | #7 | #8 | #9 | #10 | Total |
|---|---|---|---|---|---|---|---|---|---|---|---|
| dialogue-200 | |||||||||||
| 100 | 96 | 95 | 95 | 85 | 73 | 70 | 67 | 55 | 41 | 78% | |
| 49 | 45 | 43 | 41 | 38 | 38 | 22 | 7 | 1 | 0 | 28% | |
| 94 | 93 | 86 | 85 | 80 | 80 | 65 | 52 | 51 | 21 | 71% | |
| dialogue-200 | 59.00% | ||||||||||
| dialogue-500 | |||||||||||
| 47 | 47 | 45 | 41 | 38 | 26 | 10 | 7 | 0 | 0 | 26% | |
| 50 | 45 | 34 | 34 | 34 | 33 | 26 | 0 | 0 | 0 | 26% | |
| 50 | 48 | 45 | 28 | 22 | 18 | 14 | 11 | 1 | 0 | 24% | |
| dialogue-500 | 25.07% | ||||||||||
| Ungrouped | |||||||||||
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 50.32% | |||||||||||
Language Comprehension
Does the model understand more than just English?
| Scenario | #1 | #2 | #3 | #4 | #5 | Total |
|---|---|---|---|---|---|---|
| 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100% | |
| 100.00% | ||||||
Language Writing
Can the model generate text in different languages?
| Scenario | #1 | #2 | #3 | #4 | #5 | Total |
|---|---|---|---|---|---|---|
| 100 | 94 | 94 | 92 | 89 | 94% | |
| 100 | 100 | 100 | 95 | 93 | 98% | |
| 78 | 55 | 50 | 47 | 42 | 54% | |
| 94 | 93 | 92 | 92 | 85 | 91% | |
| 100 | 93 | 93 | 92 | 86 | 93% | |
| 86.02% | ||||||
N-Length Sentences
Write sentences with exactly N words
| Scenario | #1 | #2 | #3 | #4 | #5 | #6 | #7 | #8 | #9 | #10 | Total |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 100 | 100 | 100 | 100 | 100 | 100 | 97 | 95 | 94 | 93 | 98% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 88 | 99% | |
| 83 | 75 | 70 | 66 | 66 | 61 | 61 | 61 | 56 | 53 | 65% | |
| 87.23% | |||||||||||
Novel outline
Handle questions about the outline of a novel in various formats
| Scenario | #1 | #2 | #3 | #4 | #5 | #6 | #7 | #8 | #9 | #10 | Total |
|---|---|---|---|---|---|---|---|---|---|---|---|
| outline-count | |||||||||||
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 30% | |
| outline-count | 76.67% | ||||||||||
| pov-count | |||||||||||
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 50 | 95% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 0 | 90% | |
| pov-count | 95.00% | ||||||||||
| 85.83% | |||||||||||
Text Replacement
Tests deterministic text transformations: renaming characters/locations, expanding contractions, tense rewriting, POV shifts, gender swaps, combined transformations, and word avoidance. Scored by checking each expected change independently.
| Scenario | #1 | #2 | #3 | #4 | #5 | #6 | #7 | Total |
|---|---|---|---|---|---|---|---|---|
| Generic Prompt | ||||||||
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 99 | 99 | 99 | 95 | 99% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 96 | 96 | 95 | 95 | 94 | 94 | 77 | 92% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 97 | 96 | 96 | 96 | 96 | 96 | 95 | 96% | |
| Generic Prompt | 98.58% | |||||||
| Specific Prompt | ||||||||
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 99 | 98 | 98 | 97 | 96 | 96 | 95 | 97% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| Specific Prompt | 99.67% | |||||||
| 99.13% | ||||||||
Tool usage within Novelcrafter
Output messages that are related to tool usage within Novelcrafter
| Scenario | #1 | #2 | #3 | #4 | #5 | #6 | #7 | #8 | #9 | #10 | Total |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100.00% | |||||||||||
Voice/dialogue sheets
Extract dialogue from given text as voice sheets.
| Scenario | #1 | #2 | #3 | #4 | #5 | #6 | #7 | #8 | #9 | #10 | Total |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 30% | |
| 86.00% | |||||||||||
Write N of X
Write exactly N words/sentences/paragraphs...
| Scenario | #1 | #2 | #3 | #4 | #5 | #6 | #7 | #8 | #9 | #10 | Total |
|---|---|---|---|---|---|---|---|---|---|---|---|
| paragraphs | |||||||||||
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| paragraphs | 100.00% | ||||||||||
| sentences | |||||||||||
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 98 | 92 | 77 | 77 | 95% | |
| 54 | 9 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6% | |
| sentences | 80.19% | ||||||||||
| words | |||||||||||
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 98 | 98 | 98 | 98 | 98 | 99% | |
| 100 | 100 | 100 | 100 | 100 | 98 | 98 | 98 | 92 | 92 | 98% | |
| 100 | 100 | 100 | 98 | 77 | 77 | 77 | 27 | 27 | 0 | 69% | |
| 98 | 92 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 19% | |
| words | 76.92% | ||||||||||
| 83.50% | |||||||||||