nvidia/nemotron-3-nano-30b-a3b
Nemotron 3 NanoRelease Date
Dec 14th, 2025Context Size
262kReasoning
NoBenchmark Cost
$1.23Speed
83.3 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 | ||||||
| 74 | 71 | 68 | 63 | 62 | 68% | |
| 67 | 65 | 61 | 58 | 56 | 61% | |
| 78 | 76 | 72 | 65 | 64 | 71% | |
| 75 | 71 | 68 | 68 | 68 | 70% | |
| 73 | 73 | 71 | 65 | 61 | 69% | |
| 74 | 68 | 66 | 64 | 62 | 67% | |
| Detailed Writing Rules | 67.55% | |||||
| genre | ||||||
| 63 | 63 | 62 | 61 | 59 | 62% | |
| 65 | 63 | 60 | 59 | 56 | 61% | |
| 72 | 71 | 64 | 63 | 63 | 66% | |
| 77 | 69 | 63 | 63 | 61 | 67% | |
| 64 | 62 | 60 | 60 | 58 | 61% | |
| 69 | 67 | 65 | 64 | 62 | 66% | |
| genre | 63.63% | |||||
| Novelcrafter Default Prompt | ||||||
| 68 | 66 | 66 | 62 | 61 | 64% | |
| 69 | 69 | 63 | 55 | 53 | 62% | |
| 69 | 69 | 68 | 64 | 62 | 66% | |
| 72 | 71 | 67 | 66 | 63 | 68% | |
| 72 | 70 | 66 | 64 | 64 | 67% | |
| 82 | 69 | 65 | 64 | 61 | 68% | |
| Novelcrafter Default Prompt | 65.96% | |||||
| 65.72% | ||||||
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 |
|---|---|---|---|---|---|---|
| 94 | 94 | 92 | 92 | 88 | 92% | |
| 94 | 93 | 90 | 90 | 88 | 91% | |
| 92 | 92 | 91 | 90 | 88 | 90% | |
| 94 | 94 | 93 | 92 | 91 | 93% | |
| 91.51% | ||||||
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 | 25 | 93% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 25 | 17 | 84% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 25 | 93% | |
| basic entries | 92.29% | ||||||||||
| detailed entries | |||||||||||
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 25 | 25 | 85% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 25 | 17 | 84% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 25 | 25 | 25 | 78% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 25 | 25 | 85% | |
| detailed entries | 82.92% | ||||||||||
| 87.60% | |||||||||||
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 | |||||||||||
| 80 | 77 | 77 | 76 | 74 | 74 | 73 | 68 | 65 | 60 | 72% | |
| 93 | 91 | 88 | 88 | 86 | 86 | 84 | 82 | 79 | 78 | 86% | |
| 87 | 87 | 87 | 84 | 80 | 80 | 80 | 80 | 76 | 76 | 82% | |
| 100 | 97 | 97 | 97 | 97 | 93 | 93 | 93 | 93 | 93 | 95% | |
| matrix | 83.75% | ||||||||||
| tiers | |||||||||||
| 100 | 100 | 100 | 100 | 100 | 100 | 93 | 93 | 93 | 87 | 97% | |
| 94 | 94 | 89 | 86 | 86 | 86 | 86 | 79 | 78 | 58 | 84% | |
| 94 | 94 | 91 | 91 | 89 | 82 | 82 | 82 | 82 | 73 | 86% | |
| 97 | 93 | 90 | 88 | 88 | 87 | 87 | 84 | 76 | 75 | 86% | |
| tiers | 88.25% | ||||||||||
| 86.00% | |||||||||||
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 | 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 | 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% | |
| 91.67% | |||||||||||
Dialogue tags
Various tasks related to dialogue tags in text.
| Scenario | #1 | #2 | #3 | #4 | #5 | #6 | #7 | #8 | #9 | #10 | Total |
|---|---|---|---|---|---|---|---|---|---|---|---|
| dialogue-200 | |||||||||||
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 76 | 50 | 93% | |
| 100 | 100 | 100 | 98 | 73 | 72 | 65 | 50 | 50 | 44 | 75% | |
| 87 | 86 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 0 | 52% | |
| dialogue-200 | 73.36% | ||||||||||
| dialogue-500 | |||||||||||
| 100 | 100 | 86 | 82 | 63 | 50 | 33 | 33 | 0 | 0 | 55% | |
| 100 | 98 | 95 | 50 | 49 | 38 | 0 | 0 | 0 | 0 | 43% | |
| 52 | 50 | 50 | 50 | 3 | 0 | 0 | 0 | 0 | 0 | 21% | |
| dialogue-500 | 39.35% | ||||||||||
| Ungrouped | |||||||||||
| 100 | 100 | 100 | 100 | 100 | 100 | 61 | 0 | 0 | 0 | 66% | |
| 57.74% | |||||||||||
Language Comprehension
Does the model understand more than just English?
| Scenario | #1 | #2 | #3 | #4 | #5 | Total |
|---|---|---|---|---|---|---|
| 100 | 100 | 100 | 0 | 0 | 60% | |
| 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 0 | 0 | 60% | |
| 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 | 100 | 100 | 86 | 97% | |
| 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 83 | 50 | 87% | |
| 100 | 100 | 100 | 88 | 75 | 93% | |
| 95.26% | ||||||
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 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 91 | 99% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 99.71% | |||||||||||
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 | 0 | 90% | |
| 100 | 100 | 100 | 100 | 100 | 0 | 0 | 0 | 0 | 0 | 50% | |
| outline-count | 80.00% | ||||||||||
| pov-count | |||||||||||
| 50 | 50 | 50 | 50 | 50 | 50 | 50 | 0 | 0 | 0 | 35% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 0 | 0 | 0 | 0 | 60% | |
| 100 | 100 | 100 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 30% | |
| pov-count | 41.67% | ||||||||||
| 60.83% | |||||||||||
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% | |
| 96 | 93 | 93 | 92 | 85 | 22 | 14 | 71% | |
| 100 | 98 | 98 | 92 | 59 | 41 | 16 | 72% | |
| 100 | 100 | 100 | 100 | 100 | 96 | 96 | 99% | |
| 99 | 99 | 95 | 87 | 74 | 39 | 33 | 75% | |
| 88 | 85 | 60 | 56 | 48 | 40 | 35 | 59% | |
| 100 | 100 | 100 | 99 | 97 | 97 | 94 | 98% | |
| 93 | 92 | 89 | 82 | 82 | 75 | 22 | 76% | |
| Generic Prompt | 83.33% | |||||||
| Specific Prompt | ||||||||
| 100 | 100 | 100 | 100 | 81 | 69 | 67 | 88% | |
| 100 | 100 | 100 | 100 | 95 | 65 | 58 | 88% | |
| 95 | 95 | 95 | 95 | 47 | 44 | 37 | 73% | |
| 100 | 99 | 99 | 98 | 69 | 64 | 26 | 79% | |
| 100 | 100 | 100 | 100 | 100 | 98 | 63 | 94% | |
| 99 | 97 | 90 | 70 | 39 | 39 | 27 | 66% | |
| 94 | 93 | 92 | 90 | 90 | 49 | 33 | 77% | |
| 100 | 100 | 100 | 100 | 99 | 75 | 70 | 92% | |
| 99 | 96 | 95 | 91 | 89 | 89 | 85 | 92% | |
| Specific Prompt | 83.28% | |||||||
| 83.30% | ||||||||
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 | 67 | 67 | 0 | 0 | 73% | |
| 73.33% | |||||||||||
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 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10% | |
| 100 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 0 | 90% | |
| 22.00% | |||||||||||
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 | 98 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 98 | 77 | 27 | 27 | 83% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 98 | 77 | 27 | 9 | 81% | |
| sentences | 92.81% | ||||||||||
| words | |||||||||||
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 2 | 90% | |
| 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% | |
| words | 90.02% | ||||||||||
| 93.40% | |||||||||||