qwen/qwen3-235b-a22b-2507
Qwen3 235B A22B Instruct 2507Release Date
Jul 21st, 2025Context Size
262.1kReasoning
NoBenchmark Cost
$0.41Speed
40.3 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 | ||||||
| 90 | 90 | 82 | 81 | 77 | 84% | |
| 93 | 88 | 86 | 85 | 82 | 87% | |
| 92 | 91 | 90 | 89 | 85 | 89% | |
| 89 | 89 | 86 | 86 | 84 | 87% | |
| 90 | 89 | 86 | 85 | 85 | 87% | |
| 92 | 92 | 91 | 91 | 90 | 91% | |
| Detailed Writing Rules | 87.64% | |||||
| genre | ||||||
| 82 | 79 | 78 | 77 | 75 | 78% | |
| 88 | 83 | 80 | 77 | 75 | 81% | |
| 88 | 85 | 83 | 82 | 79 | 83% | |
| 85 | 84 | 81 | 79 | 78 | 81% | |
| 87 | 84 | 84 | 81 | 77 | 83% | |
| 92 | 87 | 85 | 83 | 81 | 86% | |
| genre | 82.02% | |||||
| Novelcrafter Default Prompt | ||||||
| 82 | 81 | 80 | 80 | 78 | 80% | |
| 90 | 87 | 84 | 84 | 82 | 85% | |
| 91 | 89 | 87 | 84 | 81 | 86% | |
| 89 | 85 | 84 | 83 | 82 | 85% | |
| 87 | 86 | 84 | 79 | 79 | 83% | |
| 90 | 90 | 87 | 86 | 81 | 87% | |
| Novelcrafter Default Prompt | 84.42% | |||||
| 84.69% | ||||||
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 | 92 | 92 | 91 | 90 | 92% | |
| 93 | 92 | 91 | 90 | 65 | 86% | |
| 95 | 94 | 92 | 91 | 90 | 92% | |
| 93 | 93 | 91 | 90 | 90 | 91% | |
| 90.37% | ||||||
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 | |||||||||||
| 28 | 27 | 27 | 27 | 27 | 27 | 26 | 8 | 3 | 2 | 20% | |
| 42 | 35 | 32 | 31 | 30 | 29 | 28 | 5 | 4 | 4 | 24% | |
| 100 | 25 | 25 | 25 | 25 | 17 | 17 | 17 | 13 | 13 | 27% | |
| 30 | 25 | 25 | 25 | 17 | 17 | 17 | 17 | 17 | 17 | 20% | |
| basic entries | 22.95% | ||||||||||
| detailed entries | |||||||||||
| 100 | 38 | 35 | 29 | 28 | 28 | 26 | 10 | 8 | 5 | 31% | |
| 28 | 28 | 6 | 5 | 5 | 5 | 5 | 4 | 2 | 2 | 9% | |
| 100 | 100 | 50 | 25 | 25 | 25 | 17 | 17 | 8 | 3 | 37% | |
| 42 | 28 | 25 | 25 | 25 | 25 | 25 | 10 | 8 | 3 | 22% | |
| detailed entries | 24.57% | ||||||||||
| 23.76% | |||||||||||
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 | |||||||||||
| 83 | 82 | 82 | 79 | 76 | 74 | 74 | 72 | 68 | 65 | 75% | |
| 92 | 91 | 89 | 87 | 85 | 83 | 83 | 82 | 78 | 68 | 84% | |
| 87 | 87 | 84 | 84 | 84 | 83 | 80 | 76 | 75 | 70 | 81% | |
| 92 | 92 | 92 | 92 | 88 | 88 | 88 | 88 | 87 | 84 | 89% | |
| matrix | 82.33% | ||||||||||
| tiers | |||||||||||
| 83 | 83 | 83 | 83 | 83 | 76 | 76 | 76 | 76 | 44 | 76% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 92 | 92 | 92 | 86 | 96% | |
| 97 | 92 | 92 | 89 | 88 | 86 | 82 | 82 | 79 | 55 | 84% | |
| 93 | 92 | 88 | 84 | 83 | 83 | 79 | 75 | 75 | 75 | 83% | |
| tiers | 84.96% | ||||||||||
| 83.64% | |||||||||||
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 | 0 | 90% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 86.67% | |||||||||||
Dialogue tags
Various tasks related to dialogue tags in text.
| Scenario | #1 | #2 | #3 | #4 | #5 | #6 | #7 | #8 | #9 | #10 | Total |
|---|---|---|---|---|---|---|---|---|---|---|---|
| dialogue-200 | |||||||||||
| 92 | 50 | 49 | 47 | 43 | 42 | 39 | 21 | 18 | 0 | 40% | |
| 50 | 50 | 38 | 34 | 0 | 0 | 0 | 0 | 0 | 0 | 17% | |
| 80 | 67 | 67 | 62 | 50 | 50 | 48 | 44 | 19 | 0 | 49% | |
| dialogue-200 | 35.34% | ||||||||||
| dialogue-500 | |||||||||||
| 43 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4% | |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | |
| 38 | 14 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6% | |
| dialogue-500 | 3.31% | ||||||||||
| Ungrouped | |||||||||||
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 30.85% | |||||||||||
Language Comprehension
Does the model understand more than just English?
| Scenario | #1 | #2 | #3 | #4 | #5 | Total |
|---|---|---|---|---|---|---|
| 100 | 100 | 100 | 100 | 0 | 80% | |
| 100 | 100 | 0 | 0 | 0 | 40% | |
| 100 | 100 | 100 | 100 | 0 | 80% | |
| 100 | 100 | 100 | 100 | 100 | 100% | |
| 75.00% | ||||||
Language Writing
Can the model generate text in different languages?
| Scenario | #1 | #2 | #3 | #4 | #5 | Total |
|---|---|---|---|---|---|---|
| 100 | 0 | 0 | 0 | 0 | 20% | |
| 100 | 100 | 67 | 0 | 0 | 53% | |
| 100 | 100 | 0 | 0 | 0 | 40% | |
| 100 | 100 | 100 | 0 | 0 | 60% | |
| 100 | 100 | 100 | 0 | 0 | 60% | |
| 46.67% | ||||||
N-Length Sentences
Write sentences with exactly N words
| Scenario | #1 | #2 | #3 | #4 | #5 | #6 | #7 | #8 | #9 | #10 | Total |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 99 | 98 | 94 | 93 | 93 | 92 | 91 | 90 | 86 | 80 | 92% | |
| 95 | 92 | 90 | 87 | 85 | 79 | 73 | 62 | 43 | 23 | 73% | |
| 75 | 58 | 57 | 39 | 39 | 31 | 24 | 13 | 12 | 0 | 35% | |
| 66.47% | |||||||||||
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 | 100 | 100 | 100 | 100 | 100 | 0 | 0 | 80% | |
| outline-count | 93.33% | ||||||||||
| pov-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 | 100 | 100 | 100 | 100 | 0 | 0 | 0 | 70% | |
| pov-count | 90.00% | ||||||||||
| 91.67% | |||||||||||
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 | 97 | 97 | 97 | 97 | 97 | 98% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 94 | 89 | 86 | 84 | 84 | 82 | 81 | 86% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 91 | 91 | 91 | 91 | 91 | 91 | 91 | 91% | |
| 86 | 86 | 83 | 78 | 77 | 73 | 73 | 79% | |
| 99 | 99 | 99 | 79 | 78 | 76 | 74 | 86% | |
| 100 | 100 | 100 | 100 | 100 | 99 | 99 | 100% | |
| Generic Prompt | 93.33% | |||||||
| 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% | |
| 95 | 95 | 95 | 95 | 94 | 93 | 93 | 94% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| Specific Prompt | 99.29% | |||||||
| 96.31% | ||||||||
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 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 20% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 0 | 90% | |
| 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% | |
| 72.00% | |||||||||||
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 | 27 | 2 | 0 | 0 | 0 | 53% | |
| 100 | 100 | 100 | 100 | 100 | 0 | 0 | 0 | 0 | 0 | 50% | |
| sentences | 80.58% | ||||||||||
| words | |||||||||||
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 92 | 54 | 95% | |
| 100 | 100 | 98 | 92 | 92 | 77 | 77 | 54 | 54 | 2 | 75% | |
| 54 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5% | |
| 77 | 27 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10% | |
| 100 | 27 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 13% | |
| words | 39.58% | ||||||||||
| 69.29% | |||||||||||