meta-llama/llama-3.1-70b-instruct
Llama 3.1 70BRelease Date
Jul 23rd, 2024Context Size
128kReasoning
NoBenchmark Cost
$1.19Speed
1021.7 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 | ||||||
| 75 | 71 | 69 | 67 | 58 | 68% | |
| 81 | 75 | 75 | 65 | 63 | 72% | |
| 81 | 76 | 76 | 71 | 68 | 75% | |
| 80 | 78 | 76 | 73 | 65 | 74% | |
| 77 | 76 | 76 | 68 | 65 | 72% | |
| 77 | 76 | 75 | 75 | 72 | 75% | |
| Detailed Writing Rules | 72.62% | |||||
| genre | ||||||
| 71 | 66 | 65 | 63 | 58 | 65% | |
| 84 | 77 | 69 | 68 | 64 | 72% | |
| 88 | 74 | 74 | 72 | 67 | 75% | |
| 80 | 78 | 75 | 74 | 74 | 76% | |
| 77 | 77 | 74 | 73 | 73 | 75% | |
| 81 | 79 | 79 | 74 | 62 | 75% | |
| genre | 73.01% | |||||
| Novelcrafter Default Prompt | ||||||
| 77 | 76 | 73 | 69 | 68 | 73% | |
| 76 | 71 | 71 | 67 | 65 | 70% | |
| 79 | 72 | 72 | 71 | 64 | 72% | |
| 83 | 80 | 79 | 75 | 62 | 76% | |
| 80 | 76 | 68 | 67 | 64 | 71% | |
| 79 | 77 | 72 | 69 | 65 | 72% | |
| Novelcrafter Default Prompt | 72.27% | |||||
| 72.64% | ||||||
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 | 90 | 90 | 86 | 84 | 89% | |
| 91 | 90 | 89 | 86 | 86 | 88% | |
| 87 | 85 | 84 | 84 | 3 | 68% | |
| 92 | 91 | 90 | 89 | 87 | 90% | |
| 83.82% | ||||||
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 | 29 | 17 | 17 | 8 | 6 | 5 | 4 | 3 | 3 | 19% | |
| 31 | 25 | 17 | 17 | 10 | 10 | 10 | 10 | 5 | 3 | 14% | |
| 100 | 32 | 31 | 10 | 8 | 6 | 6 | 6 | 5 | 4 | 21% | |
| 100 | 100 | 100 | 100 | 100 | 35 | 30 | 17 | 5 | 4 | 59% | |
| basic entries | 28.16% | ||||||||||
| detailed entries | |||||||||||
| 28 | 17 | 10 | 10 | 8 | 6 | 5 | 5 | 5 | 3 | 10% | |
| 100 | 100 | 25 | 17 | 13 | 10 | 8 | 6 | 6 | 6 | 29% | |
| 100 | 50 | 29 | 17 | 8 | 7 | 6 | 5 | 5 | 4 | 23% | |
| 100 | 100 | 100 | 100 | 42 | 42 | 38 | 25 | 25 | 25 | 60% | |
| detailed entries | 30.36% | ||||||||||
| 29.26% | |||||||||||
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 | |||||||||||
| 55 | 52 | 52 | 46 | 46 | 43 | 34 | 3 | 3 | 0 | 33% | |
| 76 | 74 | 70 | 67 | 58 | 57 | 54 | 52 | 47 | 0 | 56% | |
| 84 | 83 | 80 | 80 | 80 | 80 | 80 | 80 | 77 | 75 | 80% | |
| 100 | 97 | 97 | 97 | 97 | 97 | 97 | 97 | 97 | 97 | 97% | |
| matrix | 66.53% | ||||||||||
| tiers | |||||||||||
| 100 | 100 | 100 | 100 | 100 | 100 | 93 | 90 | 83 | 83 | 95% | |
| 94 | 94 | 94 | 94 | 94 | 94 | 94 | 94 | 86 | 0 | 84% | |
| 82 | 82 | 77 | 77 | 76 | 73 | 73 | 73 | 61 | 51 | 73% | |
| 87 | 71 | 67 | 67 | 63 | 62 | 57 | 53 | 50 | 0 | 58% | |
| tiers | 77.35% | ||||||||||
| 71.94% | |||||||||||
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 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 60% | |
| 100 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 55% | |
| 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 | 95% | |
| 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% | |
| 84.17% | |||||||||||
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 | 50 | 49 | 49 | 49 | 47 | 45 | 41 | 34 | 14 | 43% | |
| 92 | 66 | 50 | 45 | 43 | 38 | 34 | 26 | 18 | 5 | 42% | |
| 87 | 83 | 68 | 68 | 68 | 67 | 65 | 57 | 44 | 2 | 61% | |
| dialogue-200 | 48.43% | ||||||||||
| dialogue-500 | |||||||||||
| 30 | 5 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4% | |
| 49 | 34 | 18 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 10% | |
| 93 | 47 | 47 | 45 | 45 | 11 | 3 | 1 | 0 | 0 | 29% | |
| dialogue-500 | 14.45% | ||||||||||
| Ungrouped | |||||||||||
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 61 | 96% | |
| 40.67% | |||||||||||
Language Comprehension
Does the model understand more than just English?
| Scenario | #1 | #2 | #3 | #4 | #5 | Total |
|---|---|---|---|---|---|---|
| 100 | 0 | 0 | 0 | 0 | 20% | |
| 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 0 | 80% | |
| 100 | 100 | 100 | 100 | 100 | 100% | |
| 75.00% | ||||||
Language Writing
Can the model generate text in different languages?
| Scenario | #1 | #2 | #3 | #4 | #5 | Total |
|---|---|---|---|---|---|---|
| 100 | 100 | 92 | 91 | 85 | 94% | |
| 100 | 100 | 100 | 83 | 80 | 93% | |
| 100 | 60 | 57 | 56 | 54 | 65% | |
| 100 | 100 | 93 | 83 | 67 | 89% | |
| 100 | 100 | 86 | 75 | 73 | 87% | |
| 85.36% | ||||||
N-Length Sentences
Write sentences with exactly N words
| Scenario | #1 | #2 | #3 | #4 | #5 | #6 | #7 | #8 | #9 | #10 | Total |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 98 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 97 | 95 | 87 | 84 | 96% | |
| 74 | 69 | 60 | 58 | 54 | 53 | 50 | 46 | 43 | 38 | 55% | |
| 83.58% | |||||||||||
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 | 100 | 50 | 50 | 0 | 0 | 70% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 0 | 0 | 0 | 70% | |
| 100 | 100 | 100 | 100 | 100 | 0 | 0 | 0 | 0 | 0 | 50% | |
| pov-count | 63.33% | ||||||||||
| 66.67% | |||||||||||
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 | 90 | 88 | 87 | 83 | 83 | 83 | 87% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 99 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 74 | 96% | |
| 91 | 90 | 87 | 80 | 80 | 78 | 74 | 83% | |
| 100 | 99 | 99 | 97 | 95 | 91 | 91 | 96% | |
| 97 | 97 | 97 | 96 | 96 | 96 | 95 | 96% | |
| Generic Prompt | 95.41% | |||||||
| Specific Prompt | ||||||||
| 100 | 100 | 100 | 100 | 100 | 86 | 83 | 96% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 99 | 99 | 99 | 99 | 99 | 97 | 88 | 97% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 99 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 93 | 92 | 89 | 88 | 87 | 87 | 85 | 89% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| Specific Prompt | 97.92% | |||||||
| 96.66% | ||||||||
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 | 67 | 0 | 87% | |
| 86.67% | |||||||||||
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 | 100 | 100 | 100 | 100 | 100 | 100 | 0 | 0 | 0 | 70% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 0 | 90% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 72.00% | |||||||||||
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 | 92 | 99% | |
| 100 | 100 | 98 | 92 | 92 | 92 | 77 | 54 | 27 | 2 | 73% | |
| 100 | 100 | 100 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 30% | |
| sentences | 80.53% | ||||||||||
| words | |||||||||||
| 98 | 92 | 92 | 92 | 92 | 92 | 77 | 77 | 77 | 54 | 85% | |
| 27 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3% | |
| 100 | 100 | 98 | 98 | 92 | 77 | 54 | 27 | 27 | 27 | 70% | |
| 100 | 100 | 98 | 98 | 92 | 77 | 54 | 54 | 27 | 9 | 71% | |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | |
| words | 45.69% | ||||||||||
| 71.62% | |||||||||||