ministral-8b-2410
Ministral 8BRelease Date
Oct 16th, 2024Context Size
128kReasoning
NoBenchmark Cost
$0.33Speed
–Categories
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 | ||||||
| 79 | 72 | 68 | 66 | 66 | 70% | |
| 82 | 81 | 76 | 76 | 66 | 76% | |
| 82 | 81 | 80 | 79 | 73 | 79% | |
| 79 | 78 | 77 | 71 | 67 | 74% | |
| 86 | 79 | 78 | 76 | 71 | 78% | |
| 81 | 77 | 76 | 75 | 72 | 76% | |
| Detailed Writing Rules | 75.67% | |||||
| genre | ||||||
| 78 | 75 | 71 | 70 | 66 | 72% | |
| 84 | 79 | 79 | 76 | 72 | 78% | |
| 87 | 84 | 83 | 81 | 77 | 83% | |
| 80 | 77 | 76 | 68 | 63 | 73% | |
| 82 | 75 | 71 | 70 | 67 | 73% | |
| 83 | 81 | 80 | 77 | 75 | 79% | |
| genre | 76.27% | |||||
| Novelcrafter Default Prompt | ||||||
| 79 | 73 | 71 | 70 | 69 | 72% | |
| 84 | 83 | 82 | 79 | 74 | 80% | |
| 77 | 77 | 76 | 76 | 75 | 76% | |
| 85 | 79 | 78 | 78 | 70 | 78% | |
| 89 | 84 | 81 | 80 | 73 | 81% | |
| 83 | 80 | 77 | 76 | 75 | 78% | |
| Novelcrafter Default Prompt | 77.71% | |||||
| 76.55% | ||||||
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 | 91 | 91 | 90 | 91% | |
| 94 | 94 | 93 | 93 | 92 | 93% | |
| 92 | 91 | 91 | 90 | 88 | 90% | |
| 99 | 97 | 90 | 89 | 87 | 92% | |
| 91.70% | ||||||
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 | |||||||||||
| 100 | 100 | 100 | 28 | 27 | 26 | 26 | 26 | 1 | 1 | 44% | |
| 100 | 100 | 100 | 100 | 100 | 50 | 27 | 27 | 26 | 26 | 66% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 28 | 27 | 26 | 3 | 68% | |
| 28 | 28 | 28 | 27 | 27 | 27 | 27 | 27 | 26 | 2 | 25% | |
| basic entries | 50.53% | ||||||||||
| detailed entries | |||||||||||
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 27 | 26 | 26 | 2 | 1 | 1 | 1 | 38% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| detailed entries | 84.61% | ||||||||||
| 67.57% | |||||||||||
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 | |||||||||||
| 65 | 63 | 60 | 57 | 56 | 53 | 51 | 51 | 51 | 51 | 56% | |
| 76 | 74 | 71 | 69 | 69 | 66 | 66 | 66 | 66 | 64 | 69% | |
| 79 | 68 | 66 | 66 | 62 | 60 | 59 | 57 | 40 | 17 | 57% | |
| 88 | 88 | 84 | 79 | 79 | 76 | 75 | 75 | 63 | 60 | 77% | |
| matrix | 64.63% | ||||||||||
| tiers | |||||||||||
| 69 | 49 | 49 | 44 | 44 | 43 | 43 | 43 | 43 | 42 | 47% | |
| 100 | 86 | 81 | 81 | 81 | 76 | 71 | 69 | 69 | 64 | 78% | |
| 78 | 78 | 74 | 71 | 66 | 66 | 62 | 56 | 33 | 0 | 58% | |
| 75 | 75 | 71 | 67 | 67 | 0 | 0 | 0 | 0 | 0 | 35% | |
| tiers | 54.65% | ||||||||||
| 59.64% | |||||||||||
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 | 0 | 0 | 80% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 0 | 90% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 0 | 90% | |
| 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% | |
| 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 0 | 0 | 40% | |
| 100 | 100 | 100 | 100 | 100 | 0 | 0 | 0 | 0 | 0 | 50% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 0 | 90% | |
| 75.00% | |||||||||||
Dialogue tags
Various tasks related to dialogue tags in text.
| Scenario | #1 | #2 | #3 | #4 | #5 | #6 | #7 | #8 | #9 | #10 | Total |
|---|---|---|---|---|---|---|---|---|---|---|---|
| dialogue-200 | |||||||||||
| 49 | 14 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6% | |
| 48 | 47 | 16 | 8 | 2 | 2 | 0 | 0 | 0 | 0 | 12% | |
| 95 | 95 | 78 | 68 | 51 | 50 | 49 | 44 | 18 | 0 | 55% | |
| dialogue-200 | 24.46% | ||||||||||
| dialogue-500 | |||||||||||
| 49 | 49 | 41 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 14% | |
| 48 | 39 | 36 | 29 | 20 | 1 | 0 | 0 | 0 | 0 | 17% | |
| 50 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5% | |
| dialogue-500 | 12.09% | ||||||||||
| Ungrouped | |||||||||||
| 61 | 61 | 61 | 14 | 1 | 1 | 1 | 0 | 0 | 0 | 20% | |
| 18.50% | |||||||||||
Language Comprehension
Does the model understand more than just English?
| Scenario | #1 | #2 | #3 | #4 | #5 | Total |
|---|---|---|---|---|---|---|
| 100 | 100 | 0 | 0 | 0 | 40% | |
| 100 | 100 | 100 | 0 | 0 | 60% | |
| 100 | 100 | 100 | 100 | 0 | 80% | |
| 100 | 100 | 0 | 0 | 0 | 40% | |
| 55.00% | ||||||
Language Writing
Can the model generate text in different languages?
| Scenario | #1 | #2 | #3 | #4 | #5 | Total |
|---|---|---|---|---|---|---|
| 100 | 100 | 73 | 67 | 0 | 68% | |
| 100 | 92 | 69 | 0 | 0 | 52% | |
| 64 | 56 | 50 | 0 | 0 | 34% | |
| 100 | 91 | 64 | 54 | 0 | 62% | |
| 100 | 82 | 59 | 0 | 0 | 48% | |
| 52.81% | ||||||
N-Length Sentences
Write sentences with exactly N words
| Scenario | #1 | #2 | #3 | #4 | #5 | #6 | #7 | #8 | #9 | #10 | Total |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 100 | 100 | 78 | 78 | 64 | 56 | 45 | 36 | 32 | 20 | 61% | |
| 49 | 36 | 34 | 28 | 28 | 16 | 15 | 10 | 0 | 0 | 22% | |
| 13 | 7 | 2 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 2% | |
| 28.35% | |||||||||||
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 | 50 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 15% | |
| 100 | 100 | 100 | 100 | 0 | 0 | 0 | 0 | 0 | 0 | 40% | |
| 100 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10% | |
| pov-count | 21.67% | ||||||||||
| 45.83% | |||||||||||
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 | ||||||||
| 92 | 92 | 86 | 64 | 61 | 56 | 56 | 72% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 68 | 66 | 63 | 62 | 57 | 54 | 53 | 60% | |
| 98 | 98 | 98 | 98 | 96 | 91 | 89 | 95% | |
| 65 | 65 | 63 | 63 | 63 | 56 | 45 | 60% | |
| 75 | 74 | 74 | 74 | 74 | 74 | 74 | 74% | |
| 76 | 72 | 72 | 71 | 71 | 69 | 68 | 71% | |
| 71 | 69 | 68 | 66 | 65 | 61 | 60 | 66% | |
| 99 | 98 | 98 | 98 | 97 | 97 | 91 | 97% | |
| Generic Prompt | 77.31% | |||||||
| Specific Prompt | ||||||||
| 97 | 97 | 97 | 97 | 94 | 92 | 83 | 94% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 99 | 99 | 99 | 99 | 99 | 94 | 91 | 97% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 76 | 75 | 75 | 75 | 75 | 75 | 74 | 75% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 99 | 99 | 99 | 99 | 99 | 99 | 95 | 98% | |
| Specific Prompt | 96.02% | |||||||
| 86.67% | ||||||||
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 | 0 | 0 | 80% | |
| 80.00% | |||||||||||
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% | |
| 100 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10% | |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | |
| 100 | 100 | 100 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 30% | |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | |
| 8.00% | |||||||||||
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% | |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | |
| paragraphs | 33.33% | ||||||||||
| sentences | |||||||||||
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 0 | 90% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 98 | 98 | 100% | |
| 92 | 77 | 77 | 77 | 54 | 27 | 27 | 9 | 0 | 0 | 44% | |
| 100 | 98 | 54 | 27 | 0 | 0 | 0 | 0 | 0 | 0 | 28% | |
| 100 | 100 | 100 | 100 | 0 | 0 | 0 | 0 | 0 | 0 | 40% | |
| sentences | 60.35% | ||||||||||
| words | |||||||||||
| 98 | 98 | 92 | 54 | 9 | 0 | 0 | 0 | 0 | 0 | 35% | |
| 100 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10% | |
| 100 | 98 | 92 | 77 | 27 | 0 | 0 | 0 | 0 | 0 | 40% | |
| 92 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9% | |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | |
| words | 18.82% | ||||||||||
| 38.14% | |||||||||||