anthropic/claude-haiku-5.5

Claude Haiku 5.5 (Reasoning, Low)

Release Date

Oct 7th, 2026

Context Size

1m

Reasoning

Yes

Benchmark Cost

$0.25

Speed

141.8 tok/s

Categories

20%40%60%80%100%Creative Writing89.0%Tooling100.0%Language99.5%Utility88.9%Reasoning82.4%Text Editing97.3%Rule Following44.1%Hallucination100.0%

Subcategories

20%40%60%80%100%AI-ismsProse VarietyDialoguePurple ProseMechanical StyleClichésXMLComprehensionGenerationWord CountingSentence CountingParagraph CountingStructural CountingData ExtractionDeductionAttentionTransformationPreservationStructural IntegrityConstraint AdherenceFalse PositivesContent InventionOutput Corruption

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 Total
Detailed Writing Rules
909086 – 89%
929188 – 90%
878078 – 82%
9089 – – 90%
96 – – – 96%
9489 – – 92%
Detailed Writing Rules89.62%
genre
858585 – 85%
968481 – 87%
85 – – – 85%
– – – – –
– – – – –
86 – – – 86%
genre85.55%
Novelcrafter Default Prompt
938988 – 90%
– – – – –
9090888588%
8786 – – 87%
8584 – – 85%
9189 – – 90%
Novelcrafter Default Prompt87.90%
87.96%

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
97969696%
95 – – 95%
9796 – 96%
9894 – 96%
95.91%

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 Total
basic entries
100100100100100 – – 100%
100100 – – – – – 100%
100100100100100100100100%
100100100100 – – – 100%
basic entries100.00%
detailed entries
100100100100 – – – 100%
100100 – – – – – 100%
100100100 – – – – 100%
100100 – – – – – 100%
detailed entries100.00%
100.00%

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 Total
matrix
9483 – – – – 88%
96928787878790%
97979792 – – 95%
100100100 – – – 100%
matrix93.38%
tiers
10083 – – – – 92%
1001001008686 – 94%
898981 – – – 86%
34 – – – – – 34%
tiers76.61%
85.00%

N-Length Sentences

Write sentences with exactly N words

Scenario #1 #2 #3 #4 #5 #6 Total
100100 – – – – 100%
87735655544362%
100100100 – – – 100%
87.19%

Novel outline

Handle questions about the outline of a novel in various formats

Scenario #1 #2 #3 #4 #5 #6 #7 Total
outline-count
100100100100100100100100%
100100100100100100 – 100%
000 – – – – 0%
outline-count66.67%
pov-count
100100 – – – – – 100%
100100100100100 – – 100%
100100100100100100 – 100%
pov-count100.00%
83.33%

Relationship tree

Extracts a deterministic XML family and relationship tree from cumulative literary prose.

Scenario #1 #2 Total
868586%
– – –
85.62%

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 Total
Generic Prompt
100100100100 – – 100%
– – – – – – –
999999 – – – 99%
9595 – – – – 95%
969696 – – – 96%
10099 – – – – 100%
– – – – – – –
100100100100 – – 100%
99 – – – – – 99%
Generic Prompt98.44%
Specific Prompt
100100 – – – – 100%
100100100 – – – 100%
99 – – – – – 99%
1001001009998 – 100%
100100100 – – – 100%
100100 – – – – 100%
9897 – – – – 97%
100100100100100100100%
100 – – – – – 100%
Specific Prompt99.58%
99.08%

Tool usage within Novelcrafter

Output messages that are related to tool usage within Novelcrafter

Scenario #1 #2 #3 Total
100100100100%
100.00%

Voice/dialogue sheets

Extract dialogue from given text as voice sheets.

Scenario #1 #2 #3 #4 #5 Total
0000 – 0%
0000 – 0%
100100100 – – 100%
Few-shot Rule Following
100100100100100100%
0000 – 0%
40.00%

Write N of X

Write exactly N words/sentences/paragraphs...

Scenario #1 #2 #3 #4 #5 #6 #7 Total
paragraphs
100100100 – – – – 100%
100 – – – – – – 100%
100 – – – – – – 100%
paragraphs100.00%
sentences
100100100100100 – – 100%
100100100100 – – – 100%
100100100100 – – – 100%
10092925427 – – 73%
10010010010098 – – 100%
sentences94.55%
words
92927790 – – 54%
9800 – – – – 33%
100100100100100100100100%
100100100100 – – – 100%
1001000 – – – – 67%
words70.73%
86.64%