google/gemma-3-12b-it
Gemma 3 12BRelease Date
Mar 12th, 2025Context Size
128kReasoning
NoBenchmark Cost
$0.16Speed
39.2 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 | ||||||
| 77 | 76 | 76 | 75 | 70 | 75% | |
| 80 | 80 | 79 | 79 | 71 | 78% | |
| 81 | 80 | 77 | 76 | 74 | 78% | |
| 85 | 82 | 81 | 72 | 71 | 78% | |
| 81 | 79 | 77 | 75 | 74 | 77% | |
| 80 | 78 | 77 | 70 | 70 | 75% | |
| Detailed Writing Rules | 76.79% | |||||
| genre | ||||||
| 79 | 73 | 73 | 72 | 68 | 73% | |
| 81 | 81 | 80 | 80 | 69 | 78% | |
| 78 | 78 | 74 | 74 | 64 | 74% | |
| 81 | 81 | 80 | 76 | 75 | 79% | |
| 78 | 76 | 75 | 74 | 66 | 74% | |
| 80 | 78 | 75 | 75 | 75 | 77% | |
| genre | 75.66% | |||||
| Novelcrafter Default Prompt | ||||||
| 79 | 75 | 74 | 73 | 67 | 74% | |
| 80 | 78 | 76 | 76 | 76 | 77% | |
| 78 | 75 | 72 | 72 | 72 | 74% | |
| 82 | 78 | 74 | 72 | 72 | 76% | |
| 76 | 75 | 75 | 74 | 67 | 74% | |
| 82 | 81 | 79 | 77 | 75 | 79% | |
| Novelcrafter Default Prompt | 75.50% | |||||
| 75.98% | ||||||
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 |
|---|---|---|---|---|---|---|
| 90 | 89 | 89 | 89 | 81 | 88% | |
| 88 | 87 | 86 | 85 | 3 | 70% | |
| 85 | 84 | 83 | 83 | 82 | 84% | |
| 77 | 71 | 70 | 69 | 63 | 70% | |
| 77.70% | ||||||
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 | |||||||||||
| 13 | 5 | 4 | 4 | 4 | 4 | 3 | 3 | 3 | 2 | 4% | |
| 17 | 8 | 8 | 8 | 8 | 8 | 7 | 7 | 7 | 7 | 9% | |
| 29 | 7 | 7 | 6 | 6 | 6 | 6 | 5 | 5 | 2 | 8% | |
| 7 | 6 | 6 | 5 | 5 | 5 | 5 | 5 | 4 | 3 | 5% | |
| basic entries | 6.47% | ||||||||||
| detailed entries | |||||||||||
| 8 | 8 | 8 | 6 | 6 | 5 | 4 | 4 | 4 | 1 | 5% | |
| 17 | 13 | 13 | 10 | 10 | 7 | 6 | 6 | 6 | 6 | 9% | |
| 29 | 7 | 6 | 6 | 5 | 5 | 5 | 4 | 3 | 3 | 7% | |
| 17 | 17 | 13 | 13 | 13 | 13 | 13 | 8 | 7 | 6 | 12% | |
| detailed entries | 8.43% | ||||||||||
| 7.45% | |||||||||||
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 | |||||||||||
| 61 | 59 | 55 | 52 | 48 | 44 | 44 | 43 | 40 | 40 | 49% | |
| 72 | 69 | 69 | 67 | 66 | 66 | 64 | 63 | 63 | 52 | 65% | |
| 75 | 66 | 66 | 66 | 61 | 61 | 61 | 57 | 57 | 53 | 62% | |
| 97 | 97 | 97 | 97 | 97 | 97 | 93 | 93 | 93 | 88 | 95% | |
| matrix | 67.72% | ||||||||||
| tiers | |||||||||||
| 93 | 75 | 75 | 75 | 75 | 75 | 75 | 75 | 75 | 75 | 77% | |
| 92 | 86 | 86 | 86 | 86 | 86 | 79 | 79 | 72 | 64 | 82% | |
| 65 | 61 | 61 | 61 | 60 | 53 | 52 | 51 | 47 | 3 | 51% | |
| 55 | 48 | 48 | 48 | 48 | 40 | 40 | 40 | 40 | 33 | 44% | |
| tiers | 63.54% | ||||||||||
| 65.63% | |||||||||||
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% | |
| 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 | 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% | |
| 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 | |||||||||||
| 97 | 94 | 90 | 83 | 82 | 67 | 44 | 9 | 7 | 3 | 58% | |
| 41 | 4 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5% | |
| 67 | 57 | 51 | 50 | 50 | 50 | 50 | 50 | 44 | 16 | 49% | |
| dialogue-200 | 36.95% | ||||||||||
| dialogue-500 | |||||||||||
| 50 | 49 | 43 | 38 | 30 | 0 | 0 | 0 | 0 | 0 | 21% | |
| 50 | 7 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6% | |
| 61 | 39 | 36 | 34 | 18 | 5 | 3 | 1 | 1 | 0 | 20% | |
| dialogue-500 | 15.53% | ||||||||||
| Ungrouped | |||||||||||
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 36.78% | |||||||||||
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 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 0 | 80% | |
| 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 | 100 | 100 | 100 | 92 | 98% | |
| 100 | 100 | 91 | 91 | 90 | 94% | |
| 100 | 81 | 55 | 53 | 38 | 65% | |
| 100 | 100 | 100 | 100 | 89 | 98% | |
| 100 | 100 | 100 | 100 | 76 | 95% | |
| 90.19% | ||||||
N-Length Sentences
Write sentences with exactly N words
| Scenario | #1 | #2 | #3 | #4 | #5 | #6 | #7 | #8 | #9 | #10 | Total |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 100 | 100 | 100 | 98 | 96 | 96 | 96 | 96 | 93 | 87 | 96% | |
| 95 | 92 | 92 | 90 | 90 | 87 | 87 | 85 | 84 | 74 | 88% | |
| 13 | 13 | 9 | 9 | 2 | 2 | 2 | 0 | 0 | 0 | 5% | |
| 62.93% | |||||||||||
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 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10% | |
| outline-count | 70.00% | ||||||||||
| pov-count | |||||||||||
| 100 | 100 | 100 | 100 | 100 | 50 | 50 | 50 | 50 | 50 | 75% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10% | |
| pov-count | 61.67% | ||||||||||
| 65.83% | |||||||||||
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% | |
| 99 | 99 | 98 | 98 | 98 | 98 | 70 | 94% | |
| 99 | 98 | 98 | 98 | 98 | 98 | 98 | 98% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 74 | 74 | 74 | 74 | 74 | 74 | 74 | 74% | |
| 76 | 76 | 76 | 76 | 76 | 76 | 74 | 75% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 92 | 92 | 92 | 92 | 89 | 81 | 81 | 89% | |
| Generic Prompt | 92.19% | |||||||
| Specific Prompt | ||||||||
| 100 | 100 | 100 | 100 | 100 | 100 | 89 | 98% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 99 | 98 | 98 | 98 | 98 | 98 | 98 | 98% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 99 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 89 | 89 | 89 | 89 | 86 | 86 | 90% | |
| 95 | 94 | 94 | 94 | 94 | 93 | 91 | 94% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| Specific Prompt | 97.76% | |||||||
| 94.98% | ||||||||
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 | 0 | 0 | 0 | 0 | 0 | 50% | |
| 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% | |
| 100 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10% | |
| 52.00% | |||||||||||
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 | 54 | 2 | 0 | 75% | |
| 98 | 98 | 54 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 25% | |
| sentences | 80.06% | ||||||||||
| words | |||||||||||
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 98 | 98 | 98 | 92 | 77 | 96% | |
| 27 | 9 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4% | |
| 100 | 92 | 92 | 92 | 92 | 54 | 2 | 2 | 0 | 0 | 53% | |
| 100 | 98 | 77 | 9 | 0 | 0 | 0 | 0 | 0 | 0 | 28% | |
| words | 56.25% | ||||||||||
| 75.50% | |||||||||||