google/gemini-2.5-flash-lite
Gemini 2.5 Flash Lite (Reasoning)Release Date
Jul 22nd, 2025Context Size
1mReasoning
YesBenchmark Cost
$1.28Speed
243.6 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 | ||||||
| 72 | 70 | 69 | 66 | 64 | 68% | |
| 77 | 76 | 72 | 71 | 69 | 73% | |
| 76 | 76 | 75 | 73 | 68 | 74% | |
| 72 | 71 | 68 | 66 | 65 | 68% | |
| 78 | 71 | 69 | 64 | 62 | 69% | |
| 79 | 78 | 76 | 74 | 70 | 76% | |
| Detailed Writing Rules | 71.32% | |||||
| genre | ||||||
| 69 | 67 | 66 | 62 | 60 | 65% | |
| 78 | 72 | 71 | 70 | 68 | 72% | |
| 81 | 79 | 71 | 71 | 64 | 73% | |
| 79 | 78 | 75 | 74 | 74 | 76% | |
| 78 | 77 | 75 | 70 | 67 | 73% | |
| 83 | 82 | 81 | 80 | 77 | 81% | |
| genre | 73.22% | |||||
| Novelcrafter Default Prompt | ||||||
| 68 | 68 | 67 | 64 | 63 | 66% | |
| 76 | 74 | 70 | 62 | 61 | 69% | |
| 79 | 73 | 72 | 71 | 71 | 73% | |
| 79 | 78 | 77 | 77 | 75 | 77% | |
| 76 | 74 | 73 | 70 | 66 | 72% | |
| 88 | 79 | 79 | 71 | 71 | 77% | |
| Novelcrafter Default Prompt | 72.41% | |||||
| 72.32% | ||||||
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 |
|---|---|---|---|---|---|---|
| 98 | 97 | 95 | 94 | 92 | 95% | |
| 97 | 96 | 95 | 95 | 94 | 95% | |
| 93 | 93 | 92 | 88 | 88 | 91% | |
| 99 | 97 | 94 | 92 | 91 | 95% | |
| 93.98% | ||||||
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 | 25 | 93% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 25 | 93% | |
| basic entries | 94.38% | ||||||||||
| detailed entries | |||||||||||
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 25 | 93% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 25 | 25 | 25 | 78% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 25 | 25 | 85% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| detailed entries | 88.75% | ||||||||||
| 91.56% | |||||||||||
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 | |||||||||||
| 93 | 92 | 91 | 91 | 91 | 89 | 88 | 86 | 86 | 85 | 89% | |
| 95 | 95 | 92 | 92 | 90 | 90 | 89 | 89 | 87 | 83 | 90% | |
| 90 | 90 | 88 | 88 | 88 | 87 | 84 | 84 | 80 | 80 | 86% | |
| 97 | 97 | 97 | 97 | 97 | 97 | 97 | 97 | 93 | 84 | 95% | |
| matrix | 90.11% | ||||||||||
| tiers | |||||||||||
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 93 | 93 | 93 | 98% | |
| 100 | 100 | 94 | 94 | 94 | 94 | 94 | 92 | 92 | 92 | 95% | |
| 94 | 94 | 94 | 94 | 92 | 91 | 91 | 88 | 86 | 86 | 91% | |
| 100 | 100 | 100 | 97 | 97 | 97 | 97 | 97 | 93 | 90 | 97% | |
| tiers | 95.14% | ||||||||||
| 92.63% | |||||||||||
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% | |
| 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% | |
| 94.17% | |||||||||||
Dialogue tags
Various tasks related to dialogue tags in text.
| Scenario | #1 | #2 | #3 | #4 | #5 | #6 | #7 | #8 | #9 | #10 | Total |
|---|---|---|---|---|---|---|---|---|---|---|---|
| dialogue-200 | |||||||||||
| 96 | 95 | 60 | 53 | 52 | 50 | 47 | 0 | 0 | 0 | 45% | |
| 99 | 50 | 50 | 50 | 50 | 30 | 28 | 24 | 4 | 0 | 39% | |
| 99 | 58 | 50 | 50 | 49 | 46 | 42 | 40 | 32 | 18 | 48% | |
| dialogue-200 | 44.09% | ||||||||||
| dialogue-500 | |||||||||||
| 50 | 48 | 39 | 17 | 7 | 5 | 0 | 0 | 0 | 0 | 17% | |
| 69 | 50 | 14 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 14% | |
| 49 | 48 | 47 | 47 | 44 | 43 | 1 | 0 | 0 | 0 | 28% | |
| dialogue-500 | 19.37% | ||||||||||
| Ungrouped | |||||||||||
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 61 | 61 | 92% | |
| 40.36% | |||||||||||
Language Comprehension
Does the model understand more than just English?
| Scenario | #1 | #2 | #3 | #4 | #5 | Total |
|---|---|---|---|---|---|---|
| 100 | 100 | 100 | 100 | 0 | 80% | |
| 100 | 100 | 100 | 100 | 0 | 80% | |
| 0 | 0 | 0 | 0 | 0 | 0% | |
| 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 | 100 | 92 | 98% | |
| 100 | 100 | 100 | 90 | 0 | 78% | |
| 100 | 67 | 56 | 50 | 50 | 64% | |
| 100 | 100 | 100 | 100 | 89 | 98% | |
| 100 | 100 | 100 | 100 | 0 | 80% | |
| 83.71% | ||||||
N-Length Sentences
Write sentences with exactly N words
| Scenario | #1 | #2 | #3 | #4 | #5 | #6 | #7 | #8 | #9 | #10 | Total |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 100 | 100 | 100 | 99 | 98 | 98 | 98 | 97 | 97 | 96 | 98% | |
| 95 | 87 | 87 | 84 | 83 | 75 | 68 | 43 | 40 | 30 | 69% | |
| 67 | 65 | 55 | 53 | 52 | 49 | 35 | 25 | 13 | 10 | 42% | |
| 69.97% | |||||||||||
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 | 100 | 100 | 100 | 100 | 100 | 0 | 90% | |
| outline-count | 96.67% | ||||||||||
| pov-count | |||||||||||
| 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% | |
| pov-count | 98.33% | ||||||||||
| 97.50% | |||||||||||
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% | |
| 100 | 99 | 99 | 99 | 90 | 90 | 84 | 95% | |
| 100 | 100 | 99 | 99 | 99 | 99 | 99 | 99% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 74 | 74 | 74 | 74 | 73 | 73 | 77% | |
| 97 | 96 | 95 | 95 | 94 | 94 | 93 | 95% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 99 | 100% | |
| 97 | 93 | 89 | 85 | 82 | 81 | 81 | 87% | |
| Generic Prompt | 94.74% | |||||||
| Specific Prompt | ||||||||
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 99 | 99 | 96 | 93 | 93 | 90 | 96% | |
| 100 | 99 | 99 | 99 | 99 | 99 | 99 | 99% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 99 | 99 | 93 | 86 | 0 | 83% | |
| 99 | 98 | 98 | 98 | 96 | 95 | 81 | 95% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 99 | 96 | 67 | 65 | 90% | |
| Specific Prompt | 95.79% | |||||||
| 95.27% | ||||||||
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 | 100 | 100 | 100 | 100 | 0 | 90% | |
| 100 | 100 | 100 | 100 | 0 | 0 | 0 | 0 | 0 | 0 | 40% | |
| 100 | 100 | 100 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 30% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 0 | 90% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 70.00% | |||||||||||
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 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 98 | 92 | 99% | |
| 100 | 100 | 100 | 100 | 98 | 92 | 92 | 77 | 77 | 0 | 84% | |
| sentences | 96.54% | ||||||||||
| 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 | 100 | 98 | 92 | 92 | 77 | 77 | 9 | 85% | |
| 98 | 98 | 92 | 77 | 27 | 27 | 9 | 2 | 0 | 0 | 43% | |
| 77 | 54 | 54 | 54 | 0 | 0 | 0 | 0 | 0 | 0 | 24% | |
| words | 70.25% | ||||||||||
| 87.23% | |||||||||||