mistral-large-2407
Mistral Large 2Release Date
Jul 24th, 2024Context Size
128kReasoning
NoBenchmark Cost
$8.79Speed
–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 | ||||||
| 86 | 77 | 77 | 75 | 74 | 78% | |
| 86 | 84 | 84 | 82 | 75 | 82% | |
| 89 | 86 | 86 | 86 | 82 | 86% | |
| 89 | 84 | 83 | 81 | 73 | 82% | |
| 86 | 83 | 82 | 79 | 77 | 81% | |
| 83 | 81 | 80 | 80 | 76 | 80% | |
| Detailed Writing Rules | 81.52% | |||||
| genre | ||||||
| 83 | 81 | 76 | 75 | 74 | 78% | |
| 87 | 81 | 80 | 79 | 76 | 81% | |
| 89 | 85 | 80 | 79 | 78 | 82% | |
| 89 | 84 | 79 | 78 | 76 | 81% | |
| 83 | 82 | 81 | 80 | 74 | 80% | |
| 85 | 84 | 79 | 75 | 69 | 79% | |
| genre | 79.95% | |||||
| Novelcrafter Default Prompt | ||||||
| 85 | 79 | 76 | 76 | 75 | 78% | |
| 82 | 81 | 80 | 74 | 73 | 78% | |
| 91 | 89 | 89 | 87 | 83 | 88% | |
| 85 | 84 | 84 | 84 | 83 | 84% | |
| 85 | 85 | 83 | 83 | 80 | 83% | |
| 85 | 84 | 81 | 79 | 77 | 81% | |
| Novelcrafter Default Prompt | 82.15% | |||||
| 81.21% | ||||||
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 |
|---|---|---|---|---|---|---|
| 96 | 96 | 96 | 96 | 93 | 96% | |
| 98 | 98 | 97 | 95 | 94 | 96% | |
| 92 | 91 | 91 | 91 | 89 | 91% | |
| 96 | 95 | 95 | 95 | 95 | 95% | |
| 94.55% | ||||||
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 | |||||||||||
| 8 | 6 | 6 | 6 | 5 | 4 | 4 | 3 | 3 | 2 | 5% | |
| 29 | 6 | 5 | 5 | 5 | 4 | 4 | 3 | 3 | 3 | 6% | |
| 33 | 31 | 30 | 29 | 29 | 8 | 4 | 4 | 4 | 3 | 17% | |
| 35 | 33 | 31 | 31 | 31 | 30 | 10 | 10 | 8 | 7 | 23% | |
| basic entries | 12.79% | ||||||||||
| detailed entries | |||||||||||
| 27 | 8 | 6 | 5 | 4 | 4 | 4 | 4 | 3 | 2 | 7% | |
| 29 | 28 | 27 | 4 | 4 | 4 | 4 | 4 | 4 | 3 | 11% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| detailed entries | 54.40% | ||||||||||
| 33.60% | |||||||||||
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 | |||||||||||
| 89 | 86 | 85 | 84 | 84 | 83 | 81 | 81 | 81 | 75 | 83% | |
| 92 | 89 | 89 | 85 | 83 | 83 | 83 | 83 | 83 | 80 | 85% | |
| 93 | 88 | 84 | 84 | 84 | 84 | 84 | 79 | 75 | 75 | 83% | |
| 97 | 97 | 97 | 97 | 97 | 97 | 97 | 97 | 92 | 92 | 96% | |
| matrix | 86.65% | ||||||||||
| tiers | |||||||||||
| 91 | 91 | 91 | 91 | 91 | 91 | 91 | 91 | 91 | 91 | 91% | |
| 100 | 86 | 86 | 86 | 86 | 79 | 79 | 79 | 72 | 72 | 83% | |
| 92 | 92 | 92 | 89 | 88 | 88 | 88 | 85 | 81 | 77 | 87% | |
| 100 | 97 | 97 | 97 | 97 | 97 | 93 | 93 | 93 | 92 | 96% | |
| tiers | 89.20% | ||||||||||
| 87.92% | |||||||||||
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 | 50 | 50 | 50 | 85% | |
| 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% | |
| 86.25% | |||||||||||
Dialogue tags
Various tasks related to dialogue tags in text.
| Scenario | #1 | #2 | #3 | #4 | #5 | #6 | #7 | #8 | #9 | #10 | Total |
|---|---|---|---|---|---|---|---|---|---|---|---|
| dialogue-200 | |||||||||||
| 14 | 10 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2% | |
| 49 | 14 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7% | |
| 50 | 49 | 49 | 39 | 24 | 7 | 2 | 1 | 1 | 0 | 22% | |
| dialogue-200 | 10.44% | ||||||||||
| dialogue-500 | |||||||||||
| 10 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1% | |
| 52 | 50 | 4 | 4 | 3 | 0 | 0 | 0 | 0 | 0 | 11% | |
| 50 | 49 | 45 | 36 | 17 | 9 | 4 | 4 | 0 | 0 | 21% | |
| dialogue-500 | 11.27% | ||||||||||
| Ungrouped | |||||||||||
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 23.59% | |||||||||||
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 |
|---|---|---|---|---|---|---|
| 100 | 100 | 100 | 100 | 0 | 80% | |
| 100 | 100 | 100 | 0 | 0 | 60% | |
| 100 | 56 | 55 | 0 | 0 | 42% | |
| 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 50 | 0 | 70% | |
| 70.43% | ||||||
N-Length Sentences
Write sentences with exactly N words
| Scenario | #1 | #2 | #3 | #4 | #5 | #6 | #7 | #8 | #9 | #10 | Total |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 91 | 91 | 91 | 89 | 87 | 82 | 70 | 60 | 52 | 16 | 73% | |
| 81 | 73 | 57 | 46 | 43 | 28 | 19 | 19 | 17 | 14 | 40% | |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | |
| 37.51% | |||||||||||
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 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 0 | 50% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 0 | 0 | 0 | 70% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 0 | 0 | 0 | 0 | 60% | |
| pov-count | 60.00% | ||||||||||
| 76.67% | |||||||||||
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 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 98 | 98 | 98 | 98 | 98 | 98 | 98 | 98% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 74 | 74 | 74 | 74 | 74 | 74 | 74 | 74% | |
| 92 | 92 | 91 | 91 | 91 | 91 | 91 | 91% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 99 | 99 | 99 | 99 | 99 | 99 | 99 | 99% | |
| Generic Prompt | 95.75% | |||||||
| 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 | 99 | 99 | 99 | 100% | |
| 96 | 96 | 96 | 96 | 96 | 95 | 95 | 96% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| Specific Prompt | 99.41% | |||||||
| 97.58% | ||||||||
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 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 0 | 0 | 0 | 70% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 0 | 0 | 80% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | |
| 70.00% | |||||||||||
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 | 98 | 98 | 98 | 92 | 92 | 92 | 77 | 77 | 93% | |
| 9 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1% | |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | |
| sentences | 58.78% | ||||||||||
| words | |||||||||||
| 98 | 98 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 20% | |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | |
| 98 | 92 | 77 | 77 | 54 | 27 | 0 | 0 | 0 | 0 | 43% | |
| 100 | 100 | 100 | 92 | 77 | 77 | 0 | 0 | 0 | 0 | 55% | |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | |
| words | 23.49% | ||||||||||
| 54.72% | |||||||||||