anthropic/claude-haiku-4.5
Claude Haiku 4.5Release Date
Oct 15th, 2025Context Size
200kReasoning
NoBenchmark Cost
$5.92Speed
96.3 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 | ||||||
| 80 | 77 | 72 | 71 | 69 | 74% | |
| 87 | 86 | 84 | 83 | 82 | 84% | |
| 86 | 84 | 84 | 84 | 80 | 84% | |
| 89 | 89 | 87 | 86 | 84 | 87% | |
| 89 | 78 | 78 | 77 | 76 | 79% | |
| 87 | 87 | 83 | 82 | 76 | 83% | |
| Detailed Writing Rules | 81.91% | |||||
| genre | ||||||
| 77 | 75 | 75 | 73 | 68 | 74% | |
| 88 | 80 | 78 | 74 | 65 | 77% | |
| 82 | 79 | 79 | 78 | 74 | 78% | |
| 80 | 79 | 73 | 69 | 67 | 74% | |
| 78 | 78 | 76 | 72 | 68 | 74% | |
| 86 | 82 | 80 | 80 | 72 | 80% | |
| genre | 76.13% | |||||
| Novelcrafter Default Prompt | ||||||
| 82 | 78 | 74 | 73 | 71 | 76% | |
| 84 | 84 | 84 | 78 | 77 | 81% | |
| 79 | 77 | 75 | 73 | 73 | 76% | |
| 87 | 85 | 83 | 78 | 69 | 80% | |
| 86 | 80 | 78 | 77 | 72 | 79% | |
| 88 | 88 | 86 | 83 | 81 | 85% | |
| Novelcrafter Default Prompt | 79.41% | |||||
| 79.15% | ||||||
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 |
|---|---|---|---|---|---|---|
| 97 | 96 | 96 | 96 | 96 | 96% | |
| 96 | 96 | 95 | 95 | 95 | 95% | |
| 98 | 97 | 97 | 97 | 97 | 97% | |
| 95 | 94 | 94 | 94 | 86 | 93% | |
| 95.47% | ||||||
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 | |||||||||||
| 50 | 38 | 38 | 17 | 13 | 13 | 13 | 10 | 10 | 10 | 21% | |
| 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 42 | 49% | |
| 100 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 42 | 54% | |
| 100 | 100 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 60% | |
| basic entries | 46.06% | ||||||||||
| detailed entries | |||||||||||
| 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 42 | 49% | |
| 50 | 50 | 50 | 50 | 50 | 50 | 50 | 42 | 38 | 35 | 46% | |
| 50 | 50 | 50 | 42 | 42 | 42 | 38 | 25 | 25 | 17 | 38% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 50 | 95% | |
| detailed entries | 57.13% | ||||||||||
| 51.59% | |||||||||||
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 | |||||||||||
| 84 | 79 | 79 | 77 | 76 | 76 | 75 | 75 | 75 | 72 | 77% | |
| 94 | 89 | 89 | 89 | 85 | 85 | 83 | 81 | 3 | 3 | 70% | |
| 93 | 93 | 93 | 93 | 93 | 93 | 93 | 93 | 93 | 93 | 93% | |
| 88 | 88 | 88 | 88 | 88 | 88 | 88 | 79 | 79 | 79 | 85% | |
| matrix | 81.42% | ||||||||||
| tiers | |||||||||||
| 83 | 83 | 83 | 83 | 76 | 76 | 75 | 67 | 67 | 67 | 76% | |
| 86 | 86 | 86 | 86 | 86 | 86 | 86 | 86 | 86 | 86 | 86% | |
| 97 | 97 | 97 | 94 | 94 | 89 | 86 | 86 | 85 | 3 | 83% | |
| 97 | 97 | 92 | 88 | 88 | 88 | 88 | 83 | 79 | 3 | 80% | |
| tiers | 81.27% | ||||||||||
| 81.35% | |||||||||||
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% | |
| 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% | |
| 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% | |
| 87.50% | |||||||||||
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 | 99 | 96 | 95 | 94 | 68 | 50 | 32 | 30 | 76% | |
| 92 | 88 | 70 | 60 | 60 | 45 | 34 | 22 | 12 | 0 | 48% | |
| 99 | 97 | 88 | 87 | 71 | 53 | 52 | 50 | 44 | 39 | 68% | |
| dialogue-200 | 64.27% | ||||||||||
| dialogue-500 | |||||||||||
| 50 | 47 | 26 | 22 | 3 | 1 | 0 | 0 | 0 | 0 | 15% | |
| 50 | 50 | 34 | 5 | 1 | 0 | 0 | 0 | 0 | 0 | 14% | |
| 52 | 6 | 4 | 2 | 1 | 1 | 1 | 0 | 0 | 0 | 7% | |
| dialogue-500 | 11.85% | ||||||||||
| Ungrouped | |||||||||||
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 61 | 61 | 92% | |
| 45.78% | |||||||||||
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 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100% | |
| 95.00% | ||||||
Language Writing
Can the model generate text in different languages?
| Scenario | #1 | #2 | #3 | #4 | #5 | Total |
|---|---|---|---|---|---|---|
| 100 | 100 | 100 | 91 | 77 | 94% | |
| 100 | 100 | 94 | 88 | 79 | 92% | |
| 100 | 100 | 100 | 60 | 53 | 83% | |
| 100 | 100 | 94 | 93 | 78 | 93% | |
| 100 | 100 | 82 | 65 | 63 | 82% | |
| 88.67% | ||||||
N-Length Sentences
Write sentences with exactly N words
| Scenario | #1 | #2 | #3 | #4 | #5 | #6 | #7 | #8 | #9 | #10 | Total |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 99 | 99 | 99 | 98 | 97 | 92 | 90 | 88 | 86 | 84 | 93% | |
| 89 | 89 | 86 | 86 | 82 | 77 | 74 | 74 | 71 | 67 | 80% | |
| 67 | 66 | 57 | 50 | 36 | 10 | 0 | 0 | 0 | 0 | 29% | |
| 67.10% | |||||||||||
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 | 0 | 0 | 0 | 0 | 0 | 50% | |
| outline-count | 83.33% | ||||||||||
| pov-count | |||||||||||
| 100 | 100 | 100 | 100 | 100 | 100 | 50 | 0 | 0 | 0 | 65% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 0 | 90% | |
| 100 | 100 | 100 | 100 | 0 | 0 | 0 | 0 | 0 | 0 | 40% | |
| pov-count | 65.00% | ||||||||||
| 74.17% | |||||||||||
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 | ||||||||
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 99 | 99 | 99 | 99 | 99 | 99 | 99% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 99 | 96 | 95 | 94 | 94 | 93 | 93 | 95% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 97 | 97 | 97 | 97 | 97 | 97 | 96 | 97% | |
| Generic Prompt | 98.98% | |||||||
| Specific Prompt | ||||||||
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 99 | 99 | 99 | 99 | 99 | 99% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 99 | 97 | 96 | 96 | 95 | 93 | 93 | 96% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| Specific Prompt | 99.45% | |||||||
| 99.22% | ||||||||
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 | 100 | 100% | |
| 100 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 82.00% | |||||||||||
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 | 0 | 90% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 20% | |
| paragraphs | 70.00% | ||||||||||
| 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% | |
| 98 | 92 | 77 | 77 | 77 | 27 | 27 | 27 | 9 | 0 | 51% | |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | |
| sentences | 70.28% | ||||||||||
| words | |||||||||||
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 98 | 100% | |
| 100 | 100 | 100 | 98 | 77 | 54 | 54 | 27 | 27 | 9 | 65% | |
| 100 | 100 | 98 | 98 | 77 | 77 | 27 | 9 | 2 | 0 | 59% | |
| 98 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10% | |
| 92 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9% | |
| words | 48.50% | ||||||||||
| 61.84% | |||||||||||