deepseek/deepseek-chat-v3-0324
DeepSeek V3 (2025-03-24)Release Date
Mar 24th, 2025Context Size
163.8kReasoning
NoBenchmark Cost
$0.66Speed
34.1 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 | ||||||
| 85 | 77 | 76 | 76 | 75 | 78% | |
| 90 | 87 | 83 | 81 | 74 | 83% | |
| 87 | 87 | 85 | 85 | 80 | 85% | |
| 89 | 89 | 81 | 77 | 77 | 82% | |
| 85 | 83 | 81 | 81 | 80 | 82% | |
| 88 | 86 | 85 | 82 | 79 | 84% | |
| Detailed Writing Rules | 82.38% | |||||
| genre | ||||||
| 81 | 77 | 74 | 72 | 72 | 75% | |
| 90 | 87 | 85 | 82 | 82 | 85% | |
| 91 | 87 | 86 | 80 | 78 | 85% | |
| 83 | 83 | 80 | 80 | 72 | 80% | |
| 87 | 86 | 84 | 84 | 82 | 85% | |
| 94 | 81 | 80 | 76 | 73 | 81% | |
| genre | 81.66% | |||||
| Novelcrafter Default Prompt | ||||||
| 80 | 80 | 79 | 74 | 73 | 77% | |
| 84 | 83 | 83 | 80 | 75 | 81% | |
| 84 | 83 | 81 | 81 | 77 | 81% | |
| 87 | 83 | 83 | 80 | 75 | 82% | |
| 86 | 84 | 84 | 82 | 82 | 84% | |
| 82 | 81 | 81 | 76 | 76 | 79% | |
| Novelcrafter Default Prompt | 80.57% | |||||
| 81.53% | ||||||
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 | 95 | 93 | 92 | 92 | 94% | |
| 96 | 94 | 93 | 92 | 91 | 94% | |
| 96 | 96 | 95 | 95 | 95 | 95% | |
| 100 | 99 | 99 | 99 | 96 | 98% | |
| 95.18% | ||||||
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 | |||||||||||
| 13 | 13 | 10 | 10 | 8 | 7 | 7 | 6 | 6 | 4 | 8% | |
| 42 | 35 | 33 | 10 | 10 | 10 | 10 | 10 | 8 | 7 | 18% | |
| 25 | 25 | 17 | 13 | 13 | 13 | 13 | 10 | 7 | 7 | 14% | |
| 25 | 25 | 25 | 25 | 25 | 25 | 25 | 17 | 17 | 17 | 23% | |
| basic entries | 15.64% | ||||||||||
| detailed entries | |||||||||||
| 8 | 8 | 6 | 5 | 5 | 5 | 5 | 5 | 1 | 1 | 5% | |
| 25 | 17 | 13 | 13 | 13 | 13 | 13 | 10 | 8 | 8 | 13% | |
| 100 | 100 | 25 | 25 | 25 | 25 | 17 | 17 | 13 | 8 | 35% | |
| 100 | 25 | 25 | 25 | 25 | 25 | 25 | 25 | 25 | 25 | 33% | |
| detailed entries | 21.46% | ||||||||||
| 18.55% | |||||||||||
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 | |||||||||||
| 88 | 86 | 77 | 77 | 75 | 73 | 71 | 66 | 66 | 3 | 68% | |
| 96 | 96 | 87 | 87 | 85 | 83 | 83 | 78 | 72 | 3 | 77% | |
| 90 | 90 | 87 | 80 | 80 | 80 | 76 | 76 | 76 | 75 | 81% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 93 | 99% | |
| matrix | 81.46% | ||||||||||
| tiers | |||||||||||
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 93 | 93 | 99% | |
| 100 | 100 | 100 | 94 | 94 | 94 | 92 | 86 | 86 | 86 | 93% | |
| 86 | 86 | 82 | 82 | 77 | 77 | 73 | 73 | 73 | 51 | 76% | |
| 93 | 92 | 88 | 87 | 83 | 79 | 75 | 75 | 74 | 71 | 82% | |
| tiers | 87.48% | ||||||||||
| 84.47% | |||||||||||
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 | 50 | 95% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 50 | 50 | 50 | 50 | 80% | |
| 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% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 90.83% | |||||||||||
Dialogue tags
Various tasks related to dialogue tags in text.
| Scenario | #1 | #2 | #3 | #4 | #5 | #6 | #7 | #8 | #9 | #10 | Total |
|---|---|---|---|---|---|---|---|---|---|---|---|
| dialogue-200 | |||||||||||
| 56 | 50 | 50 | 49 | 45 | 38 | 38 | 30 | 2 | 0 | 36% | |
| 72 | 63 | 56 | 55 | 51 | 50 | 50 | 43 | 38 | 10 | 49% | |
| 86 | 71 | 53 | 50 | 50 | 50 | 47 | 32 | 22 | 0 | 46% | |
| dialogue-200 | 43.57% | ||||||||||
| dialogue-500 | |||||||||||
| 43 | 13 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6% | |
| 50 | 32 | 7 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 9% | |
| 49 | 49 | 22 | 6 | 5 | 5 | 2 | 1 | 0 | 0 | 14% | |
| dialogue-500 | 9.54% | ||||||||||
| Ungrouped | |||||||||||
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 37.05% | |||||||||||
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 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 89 | 98% | |
| 100 | 100 | 56 | 0 | 0 | 51% | |
| 100 | 100 | 89 | 0 | 0 | 58% | |
| 100 | 100 | 88 | 0 | 0 | 57% | |
| 72.83% | ||||||
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 | 98 | 98 | 98 | 88 | 81 | 96% | |
| 97 | 97 | 92 | 92 | 84 | 74 | 74 | 74 | 72 | 72 | 83% | |
| 74 | 58 | 51 | 39 | 27 | 24 | 18 | 11 | 8 | 0 | 31% | |
| 70.17% | |||||||||||
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 | 0 | 90% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 0 | 90% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 0 | 90% | |
| outline-count | 90.00% | ||||||||||
| pov-count | |||||||||||
| 100 | 50 | 50 | 50 | 0 | 0 | 0 | 0 | 0 | 0 | 25% | |
| 100 | 100 | 100 | 100 | 100 | 0 | 0 | 0 | 0 | 0 | 50% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 0 | 90% | |
| pov-count | 55.00% | ||||||||||
| 72.50% | |||||||||||
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 | 85 | 98% | |
| 98 | 98 | 97 | 97 | 97 | 97 | 96 | 97% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 99 | 100% | |
| 100 | 100 | 100 | 100 | 95 | 93 | 58 | 92% | |
| 100 | 100 | 91 | 74 | 74 | 74 | 70 | 83% | |
| 95 | 93 | 93 | 92 | 86 | 78 | 77 | 88% | |
| 100 | 100 | 100 | 97 | 96 | 96 | 66 | 94% | |
| 96 | 96 | 96 | 95 | 95 | 89 | 20 | 84% | |
| Generic Prompt | 92.87% | |||||||
| Specific Prompt | ||||||||
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 54 | 93% | |
| 99 | 99 | 99 | 99 | 99 | 99 | 0 | 85% | |
| 100 | 100 | 100 | 100 | 100 | 99 | 98 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 95 | 99% | |
| 97 | 97 | 96 | 95 | 94 | 70 | 20 | 81% | |
| 100 | 100 | 100 | 100 | 100 | 46 | 0 | 78% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| Specific Prompt | 92.97% | |||||||
| 92.92% | ||||||||
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 | 0 | 90% | |
| 90.00% | |||||||||||
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 | 0 | 90% | |
| 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% | |
| 84.00% | |||||||||||
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 | 0 | 0 | 80% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| paragraphs | 93.33% | ||||||||||
| sentences | |||||||||||
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 98 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 0 | 90% | |
| sentences | 97.96% | ||||||||||
| words | |||||||||||
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 98 | 92 | 99% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 98 | 100% | |
| 100 | 98 | 98 | 92 | 92 | 77 | 54 | 54 | 2 | 0 | 67% | |
| 100 | 100 | 100 | 98 | 92 | 92 | 92 | 92 | 27 | 0 | 79% | |
| 98 | 27 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 13% | |
| words | 71.50% | ||||||||||
| 86.72% | |||||||||||