arcee-ai/trinity-large-preview:free
Arcee AI: Trinity Large (Preview)Release Date
Jan 27th, 2026Context Size
128kReasoning
NoBenchmark Cost
$0.0000Speed
31.0 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 | ||||||
| 77 | 72 | 71 | 68 | 65 | 71% | |
| 87 | 83 | 82 | 76 | 75 | 81% | |
| 87 | 85 | 79 | 75 | 72 | 80% | |
| 92 | 80 | 79 | 78 | 70 | 80% | |
| 79 | 78 | 71 | 69 | 67 | 73% | |
| 85 | 85 | 84 | 76 | 73 | 81% | |
| Detailed Writing Rules | 77.38% | |||||
| genre | ||||||
| 66 | 66 | 65 | 65 | 61 | 65% | |
| 75 | 75 | 75 | 74 | 65 | 73% | |
| 90 | 81 | 79 | 73 | 71 | 79% | |
| 80 | 78 | 75 | 73 | 72 | 76% | |
| 85 | 84 | 76 | 74 | 70 | 78% | |
| 81 | 79 | 76 | 74 | 67 | 76% | |
| genre | 74.23% | |||||
| Novelcrafter Default Prompt | ||||||
| 70 | 70 | 69 | 63 | 62 | 67% | |
| 86 | 81 | 76 | 71 | 71 | 77% | |
| 82 | 79 | 76 | 75 | 74 | 77% | |
| 81 | 79 | 77 | 76 | 75 | 78% | |
| 80 | 79 | 74 | 73 | 72 | 76% | |
| 85 | 76 | 72 | 71 | 70 | 75% | |
| Novelcrafter Default Prompt | 74.80% | |||||
| 75.47% | ||||||
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 | 89 | 89 | 87 | 3 | 72% | |
| 94 | 92 | 92 | 91 | 3 | 74% | |
| 97 | 94 | 94 | 94 | 93 | 94% | |
| 99 | 97 | 95 | 94 | 92 | 95% | |
| 84.00% | ||||||
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 | 26 | 26 | 25 | 25 | 6 | 0 | 21% | |
| 29 | 28 | 28 | 27 | 5 | 5 | 5 | 4 | 3 | 3 | 14% | |
| 29 | 28 | 28 | 28 | 28 | 28 | 28 | 28 | 27 | 26 | 28% | |
| 100 | 35 | 29 | 29 | 29 | 28 | 28 | 6 | 3 | 0 | 29% | |
| basic entries | 22.85% | ||||||||||
| detailed entries | |||||||||||
| 100 | 100 | 100 | 26 | 26 | 26 | 26 | 26 | 26 | 0 | 46% | |
| 100 | 100 | 100 | 100 | 29 | 28 | 28 | 10 | 8 | 4 | 51% | |
| 30 | 28 | 28 | 27 | 27 | 26 | 26 | 4 | 2 | 1 | 20% | |
| 50 | 35 | 28 | 27 | 27 | 27 | 27 | 26 | 26 | 4 | 28% | |
| detailed entries | 35.98% | ||||||||||
| 29.41% | |||||||||||
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 | |||||||||||
| 39 | 38 | 37 | 34 | 34 | 34 | 34 | 34 | 3 | 3 | 29% | |
| 90 | 78 | 76 | 76 | 75 | 74 | 74 | 72 | 70 | 34 | 72% | |
| 83 | 75 | 75 | 75 | 75 | 72 | 71 | 71 | 63 | 54 | 71% | |
| 92 | 92 | 91 | 87 | 83 | 83 | 83 | 83 | 80 | 79 | 85% | |
| matrix | 64.40% | ||||||||||
| tiers | |||||||||||
| 83 | 83 | 83 | 83 | 76 | 76 | 69 | 69 | 67 | 63 | 75% | |
| 89 | 86 | 86 | 83 | 79 | 72 | 72 | 72 | 72 | 66 | 78% | |
| 89 | 85 | 85 | 81 | 77 | 74 | 73 | 73 | 70 | 61 | 77% | |
| 87 | 79 | 75 | 71 | 61 | 58 | 34 | 34 | 33 | 33 | 57% | |
| tiers | 71.63% | ||||||||||
| 68.01% | |||||||||||
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 | 0 | 0 | 0 | 70% | |
| 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 | 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% | |
| 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% | |
| 80.83% | |||||||||||
Dialogue tags
Various tasks related to dialogue tags in text.
| Scenario | #1 | #2 | #3 | #4 | #5 | #6 | #7 | #8 | #9 | #10 | Total |
|---|---|---|---|---|---|---|---|---|---|---|---|
| dialogue-200 | |||||||||||
| 91 | 49 | 49 | 49 | 47 | 38 | 34 | 23 | 14 | 14 | 41% | |
| 85 | 50 | 50 | 50 | 47 | 45 | 43 | 38 | 34 | 28 | 47% | |
| 97 | 75 | 67 | 60 | 60 | 50 | 50 | 45 | 38 | 26 | 57% | |
| dialogue-200 | 48.17% | ||||||||||
| dialogue-500 | |||||||||||
| 43 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4% | |
| 65 | 43 | 42 | 4 | 1 | 0 | 0 | 0 | 0 | 0 | 15% | |
| 50 | 38 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9% | |
| dialogue-500 | 9.50% | ||||||||||
| Ungrouped | |||||||||||
| 100 | 100 | 100 | 100 | 61 | 14 | 1 | 1 | 0 | 0 | 48% | |
| 31.52% | |||||||||||
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 | 100 | 0 | 80% | |
| 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100% | |
| 80.00% | ||||||
Language Writing
Can the model generate text in different languages?
| Scenario | #1 | #2 | #3 | #4 | #5 | Total |
|---|---|---|---|---|---|---|
| 100 | 100 | 91 | 78 | 55 | 85% | |
| 100 | 100 | 100 | 100 | 63 | 93% | |
| 100 | 100 | 80 | 0 | 0 | 56% | |
| 100 | 100 | 64 | 58 | 50 | 74% | |
| 100 | 100 | 62 | 60 | 59 | 76% | |
| 76.76% | ||||||
N-Length Sentences
Write sentences with exactly N words
| Scenario | #1 | #2 | #3 | #4 | #5 | #6 | #7 | #8 | #9 | #10 | Total |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 93 | 87 | 81 | 81 | 80 | 77 | 72 | 69 | 66 | 56 | 76% | |
| 71 | 67 | 65 | 59 | 58 | 50 | 45 | 41 | 39 | 32 | 53% | |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | |
| 42.90% | |||||||||||
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 | 0 | 0 | 0 | 0 | 0 | 0 | 25% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 0 | 0 | 0 | 70% | |
| 100 | 100 | 100 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 30% | |
| pov-count | 41.67% | ||||||||||
| 57.50% | |||||||||||
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 | 67 | 67 | 67 | 67 | 67 | 67 | 71% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 99 | 99 | 99 | 99 | 99 | 70 | 70 | 91% | |
| 100 | 98 | 84 | 84 | 84 | 84 | 67 | 86% | |
| 100 | 100 | 100 | 100 | 96 | 96 | 96 | 98% | |
| 91 | 50 | 50 | 50 | 50 | 50 | 50 | 56% | |
| 89 | 88 | 88 | 87 | 86 | 86 | 84 | 87% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 99 | 99 | 99 | 99 | 99 | 99 | 99 | 99% | |
| Generic Prompt | 87.59% | |||||||
| Specific Prompt | ||||||||
| 100 | 89 | 89 | 89 | 89 | 89 | 78 | 89% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 99 | 99 | 99 | 99 | 99 | 99 | 99 | 99% | |
| 100 | 100 | 100 | 100 | 100 | 99 | 99 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 92 | 92 | 92 | 92 | 92 | 90 | 90 | 92% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 99 | 99 | 100% | |
| Specific Prompt | 97.67% | |||||||
| 92.63% | ||||||||
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 | 67 | 93% | |
| 93.33% | |||||||||||
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 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 20% | |
| 100 | 100 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 20% | |
| 100 | 100 | 100 | 100 | 100 | 0 | 0 | 0 | 0 | 0 | 50% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 0 | 0 | 0 | 0 | 0 | 50% | |
| 48.00% | |||||||||||
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 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 20% | |
| paragraphs | 73.33% | ||||||||||
| sentences | |||||||||||
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 98 | 92 | 92 | 77 | 77 | 77 | 77 | 77 | 77 | 85% | |
| 9 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1% | |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | |
| sentences | 57.16% | ||||||||||
| words | |||||||||||
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 98 | 54 | 0 | 85% | |
| 100 | 100 | 100 | 100 | 98 | 98 | 92 | 92 | 27 | 0 | 81% | |
| 100 | 92 | 92 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 28% | |
| 100 | 92 | 92 | 27 | 9 | 9 | 2 | 0 | 0 | 0 | 33% | |
| 98 | 92 | 54 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 24% | |
| words | 50.41% | ||||||||||
| 58.30% | |||||||||||