anthropic/claude-haiku-5.5
Claude Haiku 5.5 (Reasoning, Max)Release Date
Oct 7th, 2026Context Size
1mReasoning
YesBenchmark Cost
$2.69Speed
227.8 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 | Total |
|---|---|---|---|
| Detailed Writing Rules | |||
| – | – | – | |
| – | – | – | |
| – | – | – | |
| – | – | – | |
| – | – | – | |
| – | – | – | |
| Detailed Writing Rules | – | ||
| genre | |||
| – | – | – | |
| 89 | 88 | 89% | |
| – | – | – | |
| – | – | – | |
| – | – | – | |
| 91 | – | 91% | |
| genre | 89.82% | ||
| Novelcrafter Default Prompt | |||
| – | – | – | |
| – | – | – | |
| – | – | – | |
| – | – | – | |
| – | – | – | |
| – | – | – | |
| Novelcrafter Default Prompt | – | ||
| 89.82% | |||
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 | Total |
|---|---|---|---|---|
| 98 | 97 | – | 98% | |
| 98 | 98 | 96 | 97% | |
| 98 | 98 | – | 98% | |
| – | – | – | – | |
| 97.79% | ||||
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 | Total |
|---|---|---|---|---|---|---|---|
| basic entries | |||||||
| 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | – | 100% | |
| 100 | 100 | 100 | – | – | – | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| basic entries | 100.00% | ||||||
| detailed entries | |||||||
| 100 | – | – | – | – | – | 100% | |
| 100 | 100 | 100 | 100 | – | – | 100% | |
| 100 | 25 | 25 | – | – | – | 50% | |
| 25 | 25 | 25 | 25 | 25 | – | 25% | |
| detailed entries | 68.75% | ||||||
| 84.38% | |||||||
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 | Total |
|---|---|---|---|---|---|---|
| matrix | ||||||
| 97 | 97 | 96 | 96 | 87 | 95% | |
| 96 | 96 | 94 | 92 | – | 94% | |
| 100 | 97 | 97 | 97 | 97 | 97% | |
| 100 | 100 | – | – | – | 100% | |
| matrix | 96.63% | |||||
| tiers | ||||||
| 100 | 100 | 100 | 100 | – | 100% | |
| 100 | 100 | 100 | 100 | – | 100% | |
| 94 | 92 | 89 | – | – | 92% | |
| 100 | 100 | 100 | 100 | 100 | 100% | |
| tiers | 97.95% | |||||
| 97.29% | ||||||
Data extraction
Extract key details from a given block of text.
| Scenario | #1 | #2 | #3 | #4 | #5 | #6 | Total |
|---|---|---|---|---|---|---|---|
| 100 | 100 | 100 | – | – | – | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | – | – | – | 100% | |
| 100 | 50 | – | – | – | – | 75% | |
| 100 | 100 | 100 | 100 | – | – | 100% | |
| 100 | 100 | 100 | – | – | – | 100% | |
| 100 | 100 | – | – | – | – | 100% | |
| 100 | 100 | – | – | – | – | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | – | – | – | – | – | 100% | |
| 100 | 100 | – | – | – | – | 100% | |
| 97.73% | |||||||
Dialogue tags
Various tasks related to dialogue tags in text.
| Scenario | #1 | #2 | #3 | #4 | #5 | Total |
|---|---|---|---|---|---|---|
| dialogue-200 | ||||||
| 100 | 100 | 100 | – | – | 100% | |
| 100 | 100 | 100 | 93 | – | 98% | |
| 100 | 100 | 100 | 100 | 98 | 100% | |
| dialogue-200 | 99.31% | |||||
| dialogue-500 | ||||||
| 100 | 98 | – | – | – | 99% | |
| 100 | 100 | 76 | – | – | 92% | |
| 100 | 98 | 95 | 0 | – | 73% | |
| dialogue-500 | 87.99% | |||||
| Ungrouped | ||||||
| 100 | 100 | 100 | 100 | – | 100% | |
| 94.56% | ||||||
Language Comprehension
Does the model understand more than just English?
| Scenario | #1 | #2 | #3 | Total |
|---|---|---|---|---|
| 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 | Total |
|---|---|---|---|---|
| – | – | – | – | |
| 100 | 100 | – | 100% | |
| – | – | – | – | |
| 100 | 97 | 97 | 98% | |
| 100 | – | – | 100% | |
| 99.41% | ||||
N-Length Sentences
Write sentences with exactly N words
| Scenario | #1 | #2 | #3 | #4 | #5 | Total |
|---|---|---|---|---|---|---|
| – | – | – | – | – | – | |
| 100 | 100 | 95 | 94 | 90 | 96% | |
| 100 | 100 | 91 | – | – | 97% | |
| 96.41% | ||||||
Novel outline
Handle questions about the outline of a novel in various formats
| Scenario | #1 | #2 | #3 | #4 | #5 | #6 | Total |
|---|---|---|---|---|---|---|---|
| outline-count | |||||||
| 100 | 100 | 100 | 100 | – | – | 100% | |
| 100 | 100 | 100 | 100 | – | – | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| outline-count | 100.00% | ||||||
| pov-count | |||||||
| – | – | – | – | – | – | – | |
| 100 | 100 | 100 | 100 | – | – | 100% | |
| 100 | 100 | – | – | – | – | 100% | |
| pov-count | 100.00% | ||||||
| 100.00% | |||||||
Relationship tree
Extracts a deterministic XML family and relationship tree from cumulative literary prose.
| Scenario | #1 | Total |
|---|---|---|
| 98 | 98% | |
| – | – | |
| 98.41% | ||
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 | Total |
|---|---|---|---|---|---|---|
| Generic Prompt | ||||||
| 100 | 100 | 100 | – | – | 100% | |
| 100 | 100 | 100 | 100 | – | 100% | |
| 99 | 98 | – | – | – | 99% | |
| 100 | 100 | 100 | 100 | – | 100% | |
| 100 | 100 | 100 | – | – | 100% | |
| 100 | 100 | 100 | 100 | – | 100% | |
| 96 | 96 | – | – | – | 96% | |
| 100 | 100 | 99 | – | – | 100% | |
| 100 | 100 | 99 | – | – | 100% | |
| Generic Prompt | 99.32% | |||||
| Specific Prompt | ||||||
| 100 | 100 | – | – | – | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100% | |
| 99 | 99 | 99 | – | – | 99% | |
| 100 | 100 | 100 | – | – | 100% | |
| 100 | 100 | 100 | – | – | 100% | |
| 100 | 100 | 100 | – | – | 100% | |
| 98 | 97 | – | – | – | 97% | |
| 100 | 100 | – | – | – | 100% | |
| 100 | 100 | 100 | – | – | 100% | |
| Specific Prompt | 99.64% | |||||
| 99.48% | ||||||
Tool usage within Novelcrafter
Output messages that are related to tool usage within Novelcrafter
| Scenario | #1 | #2 | #3 | #4 | Total |
|---|---|---|---|---|---|
| 100 | 100 | 100 | 100 | 100% | |
| 100.00% | |||||
Voice/dialogue sheets
Extract dialogue from given text as voice sheets.
| Scenario | #1 | #2 | #3 | #4 | #5 | Total |
|---|---|---|---|---|---|---|
| 100 | 0 | 0 | – | – | 33% | |
| 0 | 0 | – | – | – | 0% | |
| 100 | 100 | 100 | 0 | – | 75% | |
| 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100% | |
| 61.67% | ||||||
Write N of X
Write exactly N words/sentences/paragraphs...
| Scenario | #1 | #2 | #3 | #4 | #5 | Total |
|---|---|---|---|---|---|---|
| paragraphs | ||||||
| 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% | |
| sentences | 100.00% | |||||
| words | ||||||
| 100 | 100 | 100 | – | – | 100% | |
| 100 | 100 | 100 | 100 | – | 100% | |
| 100 | 100 | – | – | – | 100% | |
| 100 | 100 | 100 | – | – | 100% | |
| 100 | 100 | 100 | 100 | – | 100% | |
| words | 100.00% | |||||
| 100.00% | ||||||