qwen/qwen-2.5-72b-instruct
Qwen 2.5 72BRelease Date
Sep 19th, 2024Context Size
131.1kReasoning
NoBenchmark Cost
$0.53Speed
46.0 tok/sCategories
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 | ||||||
| 76 | 76 | 76 | 75 | 69 | 74% | |
| 74 | 73 | 72 | 67 | 63 | 70% | |
| 80 | 79 | 78 | 78 | 75 | 78% | |
| 78 | 76 | 75 | 73 | 71 | 75% | |
| 78 | 77 | 76 | 75 | 74 | 76% | |
| 82 | 79 | 75 | 73 | 72 | 76% | |
| Detailed Writing Rules | 74.96% | |||||
| genre | ||||||
| 74 | 73 | 70 | 70 | 64 | 70% | |
| 82 | 77 | 69 | 69 | 67 | 73% | |
| 83 | 80 | 78 | 73 | 73 | 78% | |
| 79 | 79 | 75 | 71 | 71 | 75% | |
| 77 | 77 | 75 | 75 | 74 | 76% | |
| 82 | 78 | 75 | 72 | 72 | 76% | |
| genre | 74.52% | |||||
| Novelcrafter Default Prompt | ||||||
| 76 | 74 | 73 | 72 | 71 | 73% | |
| 73 | 73 | 73 | 72 | 68 | 72% | |
| 79 | 79 | 78 | 77 | 76 | 78% | |
| 79 | 75 | 74 | 72 | 69 | 74% | |
| 81 | 76 | 74 | 74 | 73 | 75% | |
| 80 | 76 | 73 | 72 | 70 | 74% | |
| Novelcrafter Default Prompt | 74.34% | |||||
| 74.61% | ||||||
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 |
|---|---|---|---|---|---|---|
| 92 | 91 | 90 | 90 | 88 | 90% | |
| 91 | 91 | 91 | 90 | 90 | 91% | |
| 91 | 89 | 89 | 88 | 87 | 89% | |
| 98 | 96 | 96 | 92 | 89 | 94% | |
| 90.96% | ||||||
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 | |||||||||||
| 31 | 29 | 29 | 28 | 28 | 28 | 27 | 26 | 10 | 7 | 24% | |
| 100 | 35 | 31 | 29 | 25 | 17 | 13 | 6 | 6 | 6 | 27% | |
| 100 | 42 | 35 | 31 | 31 | 30 | 29 | 29 | 13 | 13 | 35% | |
| 100 | 100 | 100 | 100 | 42 | 33 | 32 | 29 | 25 | 17 | 58% | |
| basic entries | 36.00% | ||||||||||
| detailed entries | |||||||||||
| 100 | 100 | 100 | 100 | 100 | 38 | 33 | 27 | 25 | 6 | 63% | |
| 100 | 100 | 38 | 35 | 31 | 31 | 10 | 10 | 8 | 7 | 37% | |
| 100 | 100 | 42 | 38 | 32 | 31 | 29 | 28 | 25 | 17 | 44% | |
| 100 | 31 | 31 | 30 | 30 | 29 | 29 | 25 | 25 | 25 | 35% | |
| detailed entries | 44.81% | ||||||||||
| 40.41% | |||||||||||
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 | |||||||||||
| 76 | 72 | 67 | 64 | 63 | 63 | 63 | 61 | 59 | 53 | 64% | |
| 81 | 76 | 74 | 72 | 70 | 69 | 64 | 53 | 47 | 44 | 65% | |
| 90 | 87 | 87 | 87 | 83 | 83 | 80 | 80 | 76 | 72 | 82% | |
| 97 | 97 | 97 | 93 | 93 | 93 | 93 | 93 | 90 | 66 | 91% | |
| matrix | 75.71% | ||||||||||
| tiers | |||||||||||
| 93 | 93 | 93 | 93 | 93 | 93 | 75 | 75 | 75 | 75 | 86% | |
| 94 | 89 | 89 | 89 | 89 | 89 | 83 | 64 | 64 | 64 | 81% | |
| 91 | 49 | 49 | 44 | 43 | 41 | 40 | 39 | 38 | 36 | 47% | |
| 83 | 80 | 76 | 76 | 72 | 72 | 66 | 61 | 61 | 53 | 70% | |
| tiers | 71.07% | ||||||||||
| 73.39% | |||||||||||
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% | |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 87.50% | |||||||||||
Dialogue tags
Various tasks related to dialogue tags in text.
| Scenario | #1 | #2 | #3 | #4 | #5 | #6 | #7 | #8 | #9 | #10 | Total |
|---|---|---|---|---|---|---|---|---|---|---|---|
| dialogue-200 | |||||||||||
| 50 | 50 | 45 | 43 | 18 | 5 | 1 | 0 | 0 | 0 | 21% | |
| 50 | 50 | 49 | 49 | 26 | 13 | 10 | 7 | 5 | 0 | 26% | |
| 100 | 100 | 79 | 72 | 50 | 50 | 50 | 50 | 20 | 0 | 57% | |
| dialogue-200 | 34.69% | ||||||||||
| dialogue-500 | |||||||||||
| 47 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5% | |
| 14 | 12 | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3% | |
| 49 | 47 | 37 | 35 | 26 | 12 | 0 | 0 | 0 | 0 | 21% | |
| dialogue-500 | 9.63% | ||||||||||
| Ungrouped | |||||||||||
| 100 | 100 | 100 | 100 | 61 | 61 | 14 | 14 | 14 | 14 | 58% | |
| 27.22% | |||||||||||
Language Comprehension
Does the model understand more than just English?
| Scenario | #1 | #2 | #3 | #4 | #5 | Total |
|---|---|---|---|---|---|---|
| 0 | 0 | 0 | 0 | 0 | 0% | |
| 100 | 100 | 100 | 100 | 0 | 80% | |
| 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100% | |
| 70.00% | ||||||
Language Writing
Can the model generate text in different languages?
| Scenario | #1 | #2 | #3 | #4 | #5 | Total |
|---|---|---|---|---|---|---|
| 100 | 95 | 85 | 0 | 0 | 56% | |
| 100 | 100 | 0 | 0 | 0 | 40% | |
| 100 | 53 | 48 | 46 | 46 | 59% | |
| 100 | 100 | 100 | 94 | 53 | 89% | |
| 100 | 100 | 100 | 89 | 89 | 96% | |
| 67.91% | ||||||
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 | 100 | 95 | 93 | 0 | 89% | |
| 100 | 100 | 92 | 91 | 90 | 88 | 85 | 83 | 65 | 37 | 83% | |
| 100 | 61 | 61 | 61 | 61 | 61 | 61 | 61 | 40 | 35 | 60% | |
| 77.37% | |||||||||||
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% | |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | |
| outline-count | 66.67% | ||||||||||
| pov-count | |||||||||||
| 100 | 100 | 100 | 100 | 100 | 50 | 50 | 50 | 50 | 0 | 70% | |
| 100 | 100 | 100 | 100 | 0 | 0 | 0 | 0 | 0 | 0 | 40% | |
| 100 | 100 | 100 | 100 | 100 | 0 | 0 | 0 | 0 | 0 | 50% | |
| pov-count | 53.33% | ||||||||||
| 60.00% | |||||||||||
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 | 89 | 98% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 99 | 99 | 99 | 98 | 98 | 98 | 98 | 98% | |
| 100 | 100 | 100 | 99 | 99 | 99 | 99 | 100% | |
| 100 | 100 | 96 | 96 | 96 | 96 | 96 | 97% | |
| 100 | 100 | 100 | 100 | 74 | 74 | 74 | 89% | |
| 90 | 89 | 88 | 88 | 85 | 84 | 83 | 87% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 99 | 99 | 99 | 99 | 97 | 96 | 99% | |
| Generic Prompt | 96.40% | |||||||
| Specific Prompt | ||||||||
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 99 | 99 | 99 | 99 | 99 | 99 | 99 | 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% | |
| 92 | 90 | 89 | 89 | 88 | 88 | 86 | 89% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| Specific Prompt | 98.66% | |||||||
| 97.53% | ||||||||
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 20.00% | |||||||||||
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 | 98 | 98 | 98 | 98 | 98 | 98 | 92 | 92 | 92 | 97% | |
| 98 | 98 | 54 | 54 | 27 | 27 | 9 | 0 | 0 | 0 | 37% | |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | |
| sentences | 66.70% | ||||||||||
| words | |||||||||||
| 100 | 98 | 98 | 98 | 98 | 98 | 92 | 92 | 77 | 54 | 91% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 92 | 92 | 98% | |
| 92 | 77 | 54 | 27 | 9 | 2 | 2 | 0 | 0 | 0 | 26% | |
| 100 | 100 | 77 | 54 | 2 | 0 | 0 | 0 | 0 | 0 | 33% | |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | |
| words | 49.73% | ||||||||||
| 67.86% | |||||||||||