deepseek/deepseek-chat
DeepSeek V3 (2024-12-26)Release Date
Dec 26th, 2024Context Size
163.8kReasoning
NoBenchmark Cost
$0.89Speed
26.9 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 | ||||||
| 82 | 81 | 80 | 74 | 71 | 78% | |
| 87 | 79 | 79 | 73 | 73 | 78% | |
| 87 | 85 | 80 | 78 | 76 | 81% | |
| 78 | 77 | 77 | 73 | 68 | 75% | |
| 85 | 80 | 79 | 79 | 75 | 80% | |
| 83 | 82 | 77 | 76 | 76 | 79% | |
| Detailed Writing Rules | 78.30% | |||||
| genre | ||||||
| 77 | 72 | 69 | 68 | 64 | 70% | |
| 86 | 75 | 73 | 72 | 69 | 75% | |
| 82 | 82 | 79 | 76 | 72 | 78% | |
| 78 | 77 | 75 | 74 | 70 | 75% | |
| 83 | 75 | 73 | 72 | 71 | 75% | |
| 90 | 80 | 80 | 77 | 73 | 80% | |
| genre | 75.50% | |||||
| Novelcrafter Default Prompt | ||||||
| 82 | 76 | 74 | 74 | 70 | 75% | |
| 88 | 79 | 79 | 77 | 70 | 78% | |
| 82 | 78 | 78 | 73 | 71 | 76% | |
| 83 | 81 | 80 | 79 | 72 | 79% | |
| 86 | 85 | 80 | 79 | 71 | 80% | |
| 86 | 78 | 76 | 76 | 76 | 78% | |
| Novelcrafter Default Prompt | 77.97% | |||||
| 77.26% | ||||||
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 | 94 | 93 | 92 | 92 | 93% | |
| 95 | 94 | 91 | 90 | 88 | 92% | |
| 97 | 96 | 95 | 94 | 89 | 94% | |
| 98 | 97 | 97 | 95 | 94 | 96% | |
| 93.91% | ||||||
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 | |||||||||||
| 30 | 25 | 25 | 17 | 13 | 13 | 10 | 5 | 4 | 2 | 14% | |
| 31 | 25 | 17 | 13 | 13 | 13 | 13 | 13 | 13 | 8 | 16% | |
| 50 | 25 | 25 | 25 | 25 | 25 | 25 | 13 | 7 | 6 | 23% | |
| 100 | 28 | 25 | 25 | 25 | 25 | 25 | 25 | 25 | 17 | 32% | |
| basic entries | 21.09% | ||||||||||
| detailed entries | |||||||||||
| 25 | 17 | 10 | 7 | 6 | 6 | 5 | 5 | 4 | 3 | 9% | |
| 33 | 25 | 25 | 25 | 17 | 13 | 13 | 8 | 8 | 8 | 18% | |
| 25 | 25 | 25 | 25 | 25 | 17 | 17 | 13 | 10 | 8 | 19% | |
| 25 | 25 | 25 | 25 | 25 | 25 | 25 | 25 | 25 | 25 | 25% | |
| detailed entries | 17.57% | ||||||||||
| 19.33% | |||||||||||
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 | 88 | 86 | 85 | 84 | 83 | 79 | 72 | 65 | 58 | 79% | |
| 95 | 93 | 92 | 85 | 85 | 85 | 83 | 83 | 81 | 80 | 86% | |
| 90 | 87 | 84 | 80 | 80 | 80 | 80 | 76 | 76 | 76 | 81% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 97 | 100% | |
| matrix | 86.42% | ||||||||||
| tiers | |||||||||||
| 100 | 100 | 100 | 100 | 100 | 100 | 93 | 93 | 93 | 76 | 96% | |
| 94 | 92 | 89 | 86 | 86 | 86 | 79 | 79 | 72 | 72 | 84% | |
| 94 | 91 | 91 | 86 | 86 | 86 | 82 | 73 | 73 | 65 | 83% | |
| 97 | 92 | 92 | 84 | 84 | 83 | 80 | 79 | 76 | 75 | 84% | |
| tiers | 86.57% | ||||||||||
| 86.49% | |||||||||||
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 | 50 | 95% | |
| 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 | 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 | 0 | 0 | 0 | 0 | 30% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 89.58% | |||||||||||
Dialogue tags
Various tasks related to dialogue tags in text.
| Scenario | #1 | #2 | #3 | #4 | #5 | #6 | #7 | #8 | #9 | #10 | Total |
|---|---|---|---|---|---|---|---|---|---|---|---|
| dialogue-200 | |||||||||||
| 74 | 50 | 50 | 47 | 17 | 14 | 14 | 3 | 0 | 0 | 27% | |
| 70 | 68 | 64 | 56 | 51 | 50 | 41 | 41 | 37 | 0 | 48% | |
| 100 | 100 | 88 | 70 | 50 | 48 | 26 | 25 | 6 | 0 | 51% | |
| dialogue-200 | 41.98% | ||||||||||
| dialogue-500 | |||||||||||
| 50 | 49 | 47 | 22 | 0 | 0 | 0 | 0 | 0 | 0 | 17% | |
| 49 | 47 | 41 | 18 | 14 | 5 | 2 | 0 | 0 | 0 | 17% | |
| 85 | 51 | 36 | 28 | 19 | 16 | 15 | 14 | 3 | 2 | 27% | |
| dialogue-500 | 20.37% | ||||||||||
| Ungrouped | |||||||||||
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 41.00% | |||||||||||
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 | 94 | 0 | 79% | |
| 100 | 100 | 100 | 100 | 0 | 80% | |
| 100 | 100 | 0 | 0 | 0 | 40% | |
| 100 | 100 | 100 | 100 | 0 | 80% | |
| 100 | 100 | 100 | 100 | 100 | 100% | |
| 75.76% | ||||||
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 | 96 | 93 | 86 | 70 | 95% | |
| 92 | 90 | 89 | 87 | 87 | 82 | 77 | 70 | 65 | 59 | 80% | |
| 49 | 44 | 35 | 21 | 21 | 19 | 18 | 10 | 2 | 0 | 22% | |
| 65.48% | |||||||||||
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 | 0 | 0 | 0 | 0 | 0 | 0 | 40% | |
| outline-count | 80.00% | ||||||||||
| pov-count | |||||||||||
| 100 | 100 | 100 | 100 | 100 | 50 | 0 | 0 | 0 | 0 | 55% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 0 | 0 | 0 | 0 | 60% | |
| 100 | 100 | 100 | 100 | 100 | 0 | 0 | 0 | 0 | 0 | 50% | |
| pov-count | 55.00% | ||||||||||
| 67.50% | |||||||||||
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 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 98 | 98 | 98 | 98 | 98 | 97 | 96 | 97% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 74 | 74 | 74 | 74 | 74 | 81% | |
| 95 | 94 | 93 | 93 | 93 | 91 | 90 | 93% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 99 | 100% | |
| 96 | 95 | 95 | 95 | 88 | 81 | 81 | 90% | |
| Generic Prompt | 95.71% | |||||||
| Specific Prompt | ||||||||
| 100 | 100 | 100 | 100 | 100 | 100 | 56 | 94% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 99 | 99 | 99 | 99 | 99 | 99 | 0 | 85% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 97 | 97 | 97 | 95 | 94 | 94 | 93 | 95% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 99 | 100% | |
| Specific Prompt | 97.11% | |||||||
| 96.41% | ||||||||
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 | 0 | 0 | 0 | 0 | 0 | 50% | |
| 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 | 100 | 0 | 90% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 0 | 0 | 0 | 0 | 60% | |
| 74.00% | |||||||||||
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 | 92 | 2 | 89% | |
| 100 | 100 | 100 | 100 | 98 | 98 | 92 | 92 | 27 | 27 | 84% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 98 | 0 | 0 | 0 | 70% | |
| sentences | 88.56% | ||||||||||
| words | |||||||||||
| 100 | 100 | 100 | 100 | 98 | 98 | 98 | 98 | 92 | 92 | 98% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 98 | 92 | 99% | |
| 100 | 100 | 98 | 92 | 92 | 54 | 27 | 27 | 9 | 0 | 60% | |
| 100 | 100 | 100 | 98 | 92 | 92 | 77 | 54 | 54 | 0 | 77% | |
| 100 | 100 | 77 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 28% | |
| words | 72.25% | ||||||||||
| 84.93% | |||||||||||