openai/gpt-4.1-nano
GPT-4.1 NanoRelease Date
Apr 14th, 2025Context Size
1mReasoning
NoBenchmark Cost
$0.25Speed
202.2 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 | 68 | 68 | 67 | 63 | 68% | |
| 79 | 73 | 73 | 69 | 67 | 72% | |
| 77 | 73 | 71 | 70 | 69 | 72% | |
| 75 | 74 | 74 | 71 | 66 | 72% | |
| 74 | 70 | 70 | 67 | 65 | 69% | |
| 82 | 81 | 78 | 77 | 73 | 78% | |
| Detailed Writing Rules | 72.02% | |||||
| genre | ||||||
| 70 | 67 | 66 | 65 | 61 | 66% | |
| 75 | 72 | 71 | 68 | 67 | 71% | |
| 71 | 70 | 67 | 67 | 64 | 68% | |
| 75 | 74 | 74 | 71 | 68 | 72% | |
| 70 | 69 | 66 | 66 | 64 | 67% | |
| 87 | 81 | 76 | 70 | 68 | 76% | |
| genre | 69.96% | |||||
| Novelcrafter Default Prompt | ||||||
| 76 | 74 | 74 | 72 | 61 | 71% | |
| 82 | 74 | 74 | 74 | 67 | 74% | |
| 82 | 74 | 73 | 72 | 69 | 74% | |
| 81 | 77 | 76 | 75 | 74 | 77% | |
| 76 | 76 | 74 | 73 | 68 | 73% | |
| 82 | 81 | 80 | 78 | 74 | 79% | |
| Novelcrafter Default Prompt | 74.79% | |||||
| 72.26% | ||||||
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 |
|---|---|---|---|---|---|---|
| 79 | 76 | 76 | 75 | 72 | 76% | |
| 83 | 80 | 79 | 79 | 79 | 80% | |
| 74 | 74 | 71 | 70 | 49 | 68% | |
| 90 | 81 | 77 | 72 | 69 | 78% | |
| 75.33% | ||||||
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 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 26 | 93% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 30 | 93% | |
| 100 | 100 | 100 | 100 | 25 | 2 | 1 | 1 | 1 | 1 | 43% | |
| 100 | 100 | 100 | 100 | 100 | 31 | 29 | 28 | 27 | 26 | 64% | |
| basic entries | 73.16% | ||||||||||
| detailed entries | |||||||||||
| 100 | 100 | 100 | 100 | 26 | 26 | 25 | 3 | 2 | 1 | 48% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 50 | 25 | 3 | 78% | |
| 100 | 100 | 42 | 27 | 27 | 27 | 26 | 26 | 1 | 1 | 38% | |
| 100 | 100 | 100 | 30 | 29 | 28 | 28 | 27 | 27 | 27 | 50% | |
| detailed entries | 53.33% | ||||||||||
| 63.25% | |||||||||||
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 | |||||||||||
| 51 | 35 | 33 | 17 | 17 | 16 | 3 | 3 | 0 | 0 | 18% | |
| 51 | 22 | 20 | 19 | 17 | 17 | 13 | 3 | 3 | 0 | 17% | |
| 33 | 33 | 25 | 24 | 23 | 20 | 0 | 0 | 0 | 0 | 16% | |
| 73 | 70 | 65 | 61 | 53 | 53 | 53 | 37 | 28 | 17 | 51% | |
| matrix | 25.25% | ||||||||||
| tiers | |||||||||||
| 57 | 57 | 57 | 57 | 44 | 33 | 17 | 0 | 0 | 0 | 32% | |
| 56 | 33 | 17 | 17 | 0 | 0 | 0 | 0 | 0 | 0 | 12% | |
| 33 | 33 | 24 | 17 | 17 | 17 | 3 | 3 | 0 | 0 | 15% | |
| 33 | 18 | 17 | 17 | 17 | 17 | 17 | 17 | 0 | 0 | 15% | |
| tiers | 18.56% | ||||||||||
| 21.91% | |||||||||||
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% | |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | |
| 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 | 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 | 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% | |
| 82.92% | |||||||||||
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 | 50 | 49 | 48 | 43 | 43 | 34 | 30 | 26 | 42% | |
| 50 | 50 | 50 | 49 | 48 | 48 | 45 | 43 | 30 | 0 | 41% | |
| 100 | 99 | 96 | 92 | 63 | 58 | 41 | 22 | 18 | 2 | 59% | |
| dialogue-200 | 47.62% | ||||||||||
| dialogue-500 | |||||||||||
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | |
| 11 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1% | |
| 24 | 15 | 14 | 13 | 1 | 1 | 0 | 0 | 0 | 0 | 7% | |
| dialogue-500 | 2.65% | ||||||||||
| Ungrouped | |||||||||||
| 100 | 100 | 100 | 100 | 100 | 61 | 61 | 61 | 14 | 1 | 70% | |
| 31.49% | |||||||||||
Language Comprehension
Does the model understand more than just English?
| Scenario | #1 | #2 | #3 | #4 | #5 | Total |
|---|---|---|---|---|---|---|
| 100 | 100 | 0 | 0 | 0 | 40% | |
| 100 | 0 | 0 | 0 | 0 | 20% | |
| 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100% | |
| 65.00% | ||||||
Language Writing
Can the model generate text in different languages?
| Scenario | #1 | #2 | #3 | #4 | #5 | Total |
|---|---|---|---|---|---|---|
| 100 | 100 | 100 | 90 | 73 | 93% | |
| 100 | 100 | 100 | 100 | 60 | 92% | |
| 100 | 100 | 100 | 100 | 50 | 90% | |
| 100 | 100 | 100 | 100 | 50 | 90% | |
| 100 | 100 | 100 | 100 | 100 | 100% | |
| 92.91% | ||||||
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 | 97 | 96 | 91 | 89 | 97% | |
| 84 | 84 | 83 | 83 | 82 | 77 | 75 | 72 | 66 | 55 | 76% | |
| 76 | 76 | 76 | 65 | 64 | 59 | 59 | 57 | 38 | 30 | 60% | |
| 77.78% | |||||||||||
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% | |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | |
| outline-count | 66.67% | ||||||||||
| pov-count | |||||||||||
| 100 | 100 | 100 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 65% | |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | |
| pov-count | 21.67% | ||||||||||
| 44.17% | |||||||||||
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 | ||||||||
| 97 | 94 | 92 | 83 | 81 | 81 | 58 | 84% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 99 | 98 | 98 | 98 | 98 | 97 | 96 | 98% | |
| 98 | 98 | 98 | 97 | 97 | 97 | 97 | 97% | |
| 100 | 100 | 100 | 100 | 100 | 96 | 88 | 98% | |
| 63 | 51 | 51 | 51 | 51 | 51 | 50 | 52% | |
| 84 | 81 | 78 | 73 | 66 | 64 | 60 | 72% | |
| 100 | 100 | 100 | 100 | 97 | 96 | 95 | 98% | |
| 97 | 96 | 96 | 93 | 91 | 89 | 86 | 93% | |
| Generic Prompt | 87.96% | |||||||
| Specific Prompt | ||||||||
| 89 | 78 | 78 | 67 | 67 | 67 | 67 | 73% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 96 | 93 | 86 | 86 | 85 | 85 | 85 | 88% | |
| 99 | 99 | 99 | 99 | 98 | 98 | 98 | 99% | |
| 96 | 96 | 96 | 96 | 96 | 96 | 96 | 96% | |
| 100 | 100 | 100 | 100 | 95 | 95 | 74 | 95% | |
| 84 | 80 | 76 | 76 | 75 | 72 | 72 | 76% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 97 | 100% | |
| 93 | 93 | 89 | 89 | 89 | 86 | 83 | 89% | |
| Specific Prompt | 90.62% | |||||||
| 89.29% | ||||||||
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 | 33 | 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | |
| 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% | |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | |
| 40.00% | |||||||||||
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 | 100 | 100% | |
| 100 | 77 | 54 | 54 | 9 | 9 | 2 | 0 | 0 | 0 | 30% | |
| 100 | 100 | 100 | 77 | 77 | 0 | 0 | 0 | 0 | 0 | 45% | |
| sentences | 75.17% | ||||||||||
| words | |||||||||||
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 98 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 98 | 100% | |
| 100 | 100 | 100 | 98 | 98 | 98 | 92 | 92 | 92 | 54 | 93% | |
| 100 | 100 | 98 | 92 | 77 | 77 | 54 | 54 | 2 | 0 | 65% | |
| 100 | 98 | 77 | 27 | 27 | 27 | 0 | 0 | 0 | 0 | 36% | |
| words | 78.66% | ||||||||||
| 82.24% | |||||||||||