mistralai/ministral-14b-2512
Ministral 3 14BRelease Date
Dec 2nd, 2025Context Size
262kReasoning
NoBenchmark Cost
$0.44Speed
105.4 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 | ||||||
| 83 | 79 | 77 | 71 | 70 | 76% | |
| 82 | 80 | 74 | 73 | 71 | 76% | |
| 91 | 87 | 79 | 78 | 77 | 83% | |
| 82 | 81 | 80 | 80 | 74 | 79% | |
| 83 | 82 | 82 | 80 | 79 | 81% | |
| 83 | 82 | 77 | 73 | 72 | 77% | |
| Detailed Writing Rules | 78.76% | |||||
| genre | ||||||
| 79 | 74 | 73 | 73 | 68 | 73% | |
| 82 | 80 | 78 | 77 | 75 | 78% | |
| 85 | 84 | 83 | 82 | 79 | 82% | |
| 82 | 81 | 80 | 79 | 74 | 79% | |
| 89 | 81 | 80 | 76 | 71 | 79% | |
| 83 | 82 | 77 | 76 | 75 | 79% | |
| genre | 78.50% | |||||
| Novelcrafter Default Prompt | ||||||
| 79 | 78 | 75 | 72 | 72 | 75% | |
| 87 | 81 | 79 | 77 | 67 | 78% | |
| 89 | 88 | 85 | 84 | 83 | 86% | |
| 81 | 79 | 78 | 77 | 74 | 78% | |
| 88 | 85 | 83 | 81 | 81 | 84% | |
| 82 | 81 | 81 | 77 | 73 | 79% | |
| Novelcrafter Default Prompt | 79.90% | |||||
| 79.05% | ||||||
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 |
|---|---|---|---|---|---|---|
| 93 | 92 | 92 | 90 | 89 | 91% | |
| 93 | 92 | 92 | 91 | 89 | 91% | |
| 90 | 88 | 88 | 87 | 84 | 87% | |
| 93 | 93 | 93 | 92 | 90 | 92% | |
| 90.57% | ||||||
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 | |||||||||||
| 26 | 26 | 26 | 26 | 25 | 25 | 25 | 2 | 2 | 1 | 18% | |
| 27 | 26 | 26 | 3 | 3 | 3 | 3 | 2 | 2 | 1 | 10% | |
| 28 | 28 | 28 | 27 | 27 | 27 | 27 | 25 | 3 | 2 | 22% | |
| 50 | 50 | 30 | 30 | 30 | 29 | 29 | 29 | 29 | 28 | 33% | |
| basic entries | 20.86% | ||||||||||
| detailed entries | |||||||||||
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 28 | 93% | |
| 29 | 28 | 25 | 3 | 3 | 2 | 2 | 1 | 1 | 1 | 9% | |
| 100 | 28 | 28 | 28 | 27 | 26 | 26 | 26 | 25 | 25 | 34% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| detailed entries | 59.08% | ||||||||||
| 39.97% | |||||||||||
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 | |||||||||||
| 63 | 63 | 60 | 60 | 60 | 57 | 53 | 48 | 42 | 3 | 51% | |
| 74 | 71 | 71 | 70 | 69 | 66 | 66 | 64 | 62 | 59 | 67% | |
| 93 | 93 | 88 | 88 | 84 | 84 | 84 | 79 | 52 | 52 | 80% | |
| 92 | 88 | 84 | 79 | 79 | 79 | 79 | 75 | 71 | 52 | 78% | |
| matrix | 68.94% | ||||||||||
| tiers | |||||||||||
| 69 | 69 | 63 | 63 | 63 | 54 | 54 | 54 | 54 | 53 | 60% | |
| 72 | 72 | 72 | 72 | 66 | 66 | 64 | 61 | 58 | 53 | 66% | |
| 94 | 94 | 89 | 86 | 81 | 73 | 73 | 73 | 69 | 69 | 80% | |
| 93 | 92 | 90 | 88 | 88 | 87 | 83 | 83 | 72 | 71 | 85% | |
| tiers | 72.68% | ||||||||||
| 70.81% | |||||||||||
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 | 22 | 22 | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 10% | |
| 95 | 86 | 50 | 50 | 49 | 48 | 40 | 10 | 4 | 0 | 43% | |
| 50 | 47 | 43 | 28 | 10 | 10 | 7 | 3 | 1 | 1 | 20% | |
| dialogue-200 | 24.34% | ||||||||||
| dialogue-500 | |||||||||||
| 50 | 43 | 41 | 26 | 11 | 1 | 0 | 0 | 0 | 0 | 17% | |
| 50 | 49 | 48 | 47 | 41 | 29 | 0 | 0 | 0 | 0 | 26% | |
| 96 | 88 | 24 | 10 | 7 | 0 | 0 | 0 | 0 | 0 | 23% | |
| dialogue-500 | 21.99% | ||||||||||
| Ungrouped | |||||||||||
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 34.14% | |||||||||||
Language Comprehension
Does the model understand more than just English?
| Scenario | #1 | #2 | #3 | #4 | #5 | Total |
|---|---|---|---|---|---|---|
| 0 | 0 | 0 | 0 | 0 | 0% | |
| 0 | 0 | 0 | 0 | 0 | 0% | |
| 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100% | |
| 50.00% | ||||||
Language Writing
Can the model generate text in different languages?
| Scenario | #1 | #2 | #3 | #4 | #5 | Total |
|---|---|---|---|---|---|---|
| 0 | 0 | 0 | 0 | 0 | 0% | |
| 0 | 0 | 0 | 0 | 0 | 0% | |
| 0 | 0 | 0 | 0 | 0 | 0% | |
| 100 | 50 | 0 | 0 | 0 | 30% | |
| 100 | 0 | 0 | 0 | 0 | 20% | |
| 10.00% | ||||||
N-Length Sentences
Write sentences with exactly N words
| Scenario | #1 | #2 | #3 | #4 | #5 | #6 | #7 | #8 | #9 | #10 | Total |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 93 | 91 | 90 | 89 | 88 | 87 | 80 | 80 | 79 | 72 | 85% | |
| 92 | 88 | 85 | 80 | 76 | 75 | 72 | 71 | 69 | 52 | 76% | |
| 65 | 51 | 49 | 46 | 44 | 42 | 32 | 32 | 4 | 3 | 37% | |
| 65.88% | |||||||||||
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 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 20% | |
| outline-count | 73.33% | ||||||||||
| pov-count | |||||||||||
| 100 | 50 | 50 | 50 | 50 | 50 | 0 | 0 | 0 | 0 | 35% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 0 | 0 | 0 | 0 | 60% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| pov-count | 65.00% | ||||||||||
| 69.17% | |||||||||||
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 | ||||||||
| 86 | 86 | 86 | 83 | 83 | 83 | 67 | 82% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 78 | 78 | 78 | 78 | 78 | 76 | 73 | 77% | |
| 98 | 98 | 98 | 98 | 98 | 98 | 98 | 98% | |
| 96 | 96 | 96 | 96 | 96 | 96 | 96 | 96% | |
| 88 | 88 | 78 | 78 | 76 | 74 | 74 | 79% | |
| 82 | 82 | 82 | 74 | 74 | 74 | 71 | 77% | |
| 99 | 99 | 99 | 99 | 99 | 99 | 99 | 99% | |
| 99 | 99 | 99 | 99 | 99 | 99 | 99 | 99% | |
| Generic Prompt | 89.60% | |||||||
| Specific Prompt | ||||||||
| 97 | 97 | 94 | 94 | 89 | 86 | 86 | 92% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 67 | 95% | |
| 99 | 99 | 99 | 99 | 99 | 99 | 99 | 99% | |
| 100 | 100 | 98 | 98 | 98 | 98 | 98 | 99% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 90 | 89 | 88 | 88 | 88 | 87 | 86 | 88% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 99 | 99 | 99 | 99 | 99 | 99 | 99 | 99% | |
| Specific Prompt | 96.94% | |||||||
| 93.27% | ||||||||
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 | 0 | 90% | |
| 90.00% | |||||||||||
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% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | |
| 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 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 98 | 98 | 100% | |
| 100 | 92 | 92 | 77 | 77 | 54 | 54 | 54 | 9 | 0 | 61% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| sentences | 92.10% | ||||||||||
| words | |||||||||||
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 98 | 92 | 77 | 77 | 77 | 77 | 77 | 77 | 77 | 83% | |
| 100 | 100 | 100 | 92 | 92 | 77 | 77 | 2 | 2 | 0 | 64% | |
| 100 | 100 | 100 | 9 | 9 | 0 | 0 | 0 | 0 | 0 | 32% | |
| 100 | 98 | 77 | 54 | 27 | 0 | 0 | 0 | 0 | 0 | 36% | |
| words | 62.98% | ||||||||||
| 82.73% | |||||||||||