mistralai/ministral-3b-2512
Ministral 3 3BRelease Date
Dec 2nd, 2025Context Size
131kReasoning
NoBenchmark Cost
$0.26Speed
242.8 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 | ||||||
| 69 | 68 | 67 | 62 | 57 | 65% | |
| 83 | 83 | 81 | 80 | 79 | 81% | |
| 84 | 79 | 76 | 75 | 71 | 77% | |
| 80 | 77 | 74 | 72 | 72 | 75% | |
| 81 | 79 | 78 | 76 | 70 | 77% | |
| 79 | 77 | 76 | 75 | 67 | 75% | |
| Detailed Writing Rules | 74.97% | |||||
| genre | ||||||
| 73 | 69 | 68 | 65 | 65 | 68% | |
| 81 | 80 | 80 | 77 | 69 | 77% | |
| 80 | 78 | 75 | 72 | 72 | 76% | |
| 80 | 77 | 75 | 73 | 70 | 75% | |
| 82 | 80 | 79 | 79 | 75 | 79% | |
| 84 | 75 | 72 | 71 | 70 | 74% | |
| genre | 74.87% | |||||
| Novelcrafter Default Prompt | ||||||
| 77 | 76 | 70 | 67 | 65 | 71% | |
| 77 | 77 | 73 | 68 | 65 | 72% | |
| 82 | 82 | 82 | 78 | 68 | 78% | |
| 77 | 75 | 74 | 73 | 70 | 74% | |
| 81 | 78 | 76 | 76 | 74 | 77% | |
| 82 | 79 | 78 | 77 | 74 | 78% | |
| Novelcrafter Default Prompt | 75.06% | |||||
| 74.97% | ||||||
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 | 90 | 89 | 88 | 88 | 89% | |
| 85 | 84 | 84 | 83 | 79 | 83% | |
| 88 | 87 | 87 | 87 | 82 | 86% | |
| 89 | 86 | 86 | 85 | 84 | 86% | |
| 86.08% | ||||||
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 | 26 | 25 | 25 | 17 | 4 | 2 | 1 | 18% | |
| 38 | 32 | 30 | 30 | 29 | 29 | 29 | 29 | 27 | 1 | 27% | |
| 32 | 32 | 32 | 31 | 30 | 29 | 28 | 28 | 28 | 28 | 30% | |
| 31 | 31 | 29 | 29 | 29 | 29 | 29 | 28 | 27 | 3 | 26% | |
| basic entries | 25.43% | ||||||||||
| detailed entries | |||||||||||
| 27 | 26 | 26 | 25 | 25 | 25 | 1 | 0 | 0 | 0 | 16% | |
| 28 | 28 | 26 | 26 | 25 | 2 | 2 | 1 | 0 | 0 | 14% | |
| 29 | 28 | 28 | 28 | 27 | 27 | 26 | 6 | 1 | 0 | 20% | |
| 42 | 38 | 33 | 29 | 28 | 28 | 27 | 26 | 3 | 1 | 26% | |
| detailed entries | 18.72% | ||||||||||
| 22.08% | |||||||||||
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 | |||||||||||
| 47 | 46 | 44 | 42 | 41 | 41 | 41 | 40 | 38 | 38 | 42% | |
| 80 | 77 | 76 | 76 | 72 | 67 | 57 | 54 | 48 | 35 | 64% | |
| 75 | 71 | 71 | 67 | 67 | 67 | 66 | 62 | 62 | 61 | 67% | |
| 84 | 84 | 84 | 84 | 80 | 80 | 79 | 76 | 70 | 62 | 78% | |
| matrix | 62.77% | ||||||||||
| tiers | |||||||||||
| 83 | 83 | 76 | 69 | 67 | 67 | 63 | 60 | 44 | 42 | 65% | |
| 86 | 56 | 53 | 52 | 52 | 49 | 41 | 41 | 39 | 37 | 51% | |
| 62 | 60 | 59 | 59 | 56 | 55 | 47 | 43 | 42 | 41 | 52% | |
| 83 | 83 | 83 | 80 | 75 | 72 | 71 | 67 | 60 | 53 | 73% | |
| tiers | 60.26% | ||||||||||
| 61.52% | |||||||||||
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 | 50 | 50 | 90% | |
| 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% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 78.33% | |||||||||||
Dialogue tags
Various tasks related to dialogue tags in text.
| Scenario | #1 | #2 | #3 | #4 | #5 | #6 | #7 | #8 | #9 | #10 | Total |
|---|---|---|---|---|---|---|---|---|---|---|---|
| dialogue-200 | |||||||||||
| 98 | 98 | 92 | 70 | 50 | 34 | 9 | 5 | 5 | 0 | 46% | |
| 50 | 34 | 7 | 7 | 5 | 3 | 1 | 0 | 0 | 0 | 11% | |
| 68 | 48 | 22 | 14 | 1 | 0 | 0 | 0 | 0 | 0 | 15% | |
| dialogue-200 | 24.04% | ||||||||||
| dialogue-500 | |||||||||||
| 52 | 46 | 13 | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 12% | |
| 49 | 48 | 44 | 25 | 22 | 3 | 0 | 0 | 0 | 0 | 19% | |
| 22 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2% | |
| dialogue-500 | 10.99% | ||||||||||
| Ungrouped | |||||||||||
| 61 | 61 | 61 | 61 | 14 | 14 | 14 | 14 | 1 | 0 | 30% | |
| 19.27% | |||||||||||
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 |
|---|---|---|---|---|---|---|
| 0 | 0 | 0 | 0 | 0 | 0% | |
| 100 | 100 | 90 | 0 | 0 | 58% | |
| 67 | 56 | 0 | 0 | 0 | 24% | |
| 100 | 93 | 0 | 0 | 0 | 39% | |
| 100 | 100 | 100 | 0 | 0 | 60% | |
| 36.20% | ||||||
N-Length Sentences
Write sentences with exactly N words
| Scenario | #1 | #2 | #3 | #4 | #5 | #6 | #7 | #8 | #9 | #10 | Total |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 93 | 84 | 74 | 74 | 64 | 63 | 56 | 56 | 52 | 50 | 66% | |
| 82 | 78 | 65 | 64 | 58 | 56 | 54 | 53 | 15 | 7 | 53% | |
| 23 | 19 | 10 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 6% | |
| 41.79% | |||||||||||
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 | 0 | 0 | 0 | 0 | 0 | 50% | |
| outline-count | 83.33% | ||||||||||
| pov-count | |||||||||||
| 100 | 50 | 50 | 50 | 50 | 50 | 50 | 0 | 0 | 0 | 40% | |
| 100 | 100 | 100 | 100 | 0 | 0 | 0 | 0 | 0 | 0 | 40% | |
| 100 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10% | |
| pov-count | 30.00% | ||||||||||
| 56.67% | |||||||||||
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 | ||||||||
| 69 | 64 | 61 | 58 | 58 | 58 | 58 | 61% | |
| 95 | 95 | 95 | 95 | 95 | 95 | 95 | 95% | |
| 96 | 91 | 87 | 81 | 81 | 78 | 76 | 84% | |
| 42 | 42 | 41 | 41 | 40 | 39 | 39 | 41% | |
| 78 | 71 | 71 | 71 | 67 | 67 | 67 | 71% | |
| 91 | 91 | 91 | 91 | 88 | 85 | 85 | 89% | |
| 67 | 64 | 58 | 57 | 57 | 49 | 48 | 57% | |
| 77 | 77 | 75 | 74 | 60 | 60 | 58 | 69% | |
| 85 | 79 | 79 | 75 | 72 | 71 | 66 | 75% | |
| Generic Prompt | 71.29% | |||||||
| Specific Prompt | ||||||||
| 75 | 72 | 64 | 61 | 61 | 53 | 50 | 62% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 92 | 92 | 92 | 92 | 91 | 91 | 91 | 92% | |
| 98 | 97 | 97 | 97 | 97 | 97 | 96 | 97% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 78 | 78 | 78 | 78 | 64 | 64 | 62 | 72% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 98 | 100% | |
| 99 | 99 | 99 | 96 | 95 | 95 | 95 | 97% | |
| Specific Prompt | 91.08% | |||||||
| 81.19% | ||||||||
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% | |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | |
| 0.00% | |||||||||||
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 | 98 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 92 | 54 | 2 | 2 | 0 | 65% | |
| 92 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10% | |
| sentences | 74.85% | ||||||||||
| words | |||||||||||
| 100 | 100 | 100 | 100 | 98 | 98 | 98 | 98 | 98 | 77 | 97% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 98 | 100% | |
| 98 | 54 | 54 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 21% | |
| 100 | 92 | 77 | 54 | 9 | 0 | 0 | 0 | 0 | 0 | 33% | |
| 98 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10% | |
| words | 52.12% | ||||||||||
| 71.91% | |||||||||||