z-ai/glm-4.5
Z.AI GLM 4.5Release Date
Jul 25th, 2025Context Size
131kReasoning
NoBenchmark Cost
$2.03Speed
37.4 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 | 73 | 72 | 72 | 64 | 71% | |
| 88 | 85 | 81 | 78 | 67 | 80% | |
| 85 | 83 | 79 | 79 | 77 | 81% | |
| 84 | 84 | 79 | 79 | 78 | 81% | |
| 83 | 81 | 78 | 78 | 72 | 78% | |
| 88 | 86 | 84 | 84 | 76 | 84% | |
| Detailed Writing Rules | 79.03% | |||||
| genre | ||||||
| 72 | 69 | 69 | 68 | 68 | 69% | |
| 79 | 72 | 70 | 70 | 69 | 72% | |
| 79 | 78 | 75 | 74 | 71 | 75% | |
| 79 | 73 | 73 | 72 | 66 | 73% | |
| 78 | 74 | 71 | 70 | 67 | 72% | |
| 83 | 79 | 78 | 78 | 72 | 78% | |
| genre | 73.24% | |||||
| Novelcrafter Default Prompt | ||||||
| 72 | 71 | 69 | 69 | 67 | 70% | |
| 81 | 78 | 78 | 76 | 75 | 78% | |
| 90 | 81 | 80 | 80 | 77 | 81% | |
| 84 | 82 | 80 | 72 | 70 | 78% | |
| 84 | 80 | 79 | 78 | 77 | 80% | |
| 84 | 78 | 77 | 75 | 74 | 78% | |
| Novelcrafter Default Prompt | 77.24% | |||||
| 76.50% | ||||||
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 | 94 | 96% | |
| 98 | 96 | 96 | 95 | 94 | 96% | |
| 96 | 95 | 95 | 94 | 93 | 95% | |
| 99 | 99 | 99 | 99 | 98 | 99% | |
| 96.09% | ||||||
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 | 28 | 25 | 17 | 17 | 13 | 10 | 6 | 4 | 1 | 22% | |
| 100 | 100 | 100 | 100 | 100 | 32 | 30 | 29 | 25 | 3 | 62% | |
| 100 | 100 | 100 | 38 | 29 | 25 | 25 | 25 | 4 | 2 | 45% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 29 | 25 | 25 | 78% | |
| basic entries | 51.60% | ||||||||||
| detailed entries | |||||||||||
| 100 | 100 | 100 | 100 | 100 | 100 | 31 | 29 | 25 | 17 | 70% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 50 | 33 | 26 | 8 | 72% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 25 | 93% | |
| 100 | 100 | 100 | 100 | 100 | 29 | 29 | 13 | 4 | 3 | 58% | |
| detailed entries | 73.01% | ||||||||||
| 62.31% | |||||||||||
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 | |||||||||||
| 92 | 82 | 81 | 78 | 76 | 75 | 75 | 73 | 72 | 66 | 77% | |
| 94 | 94 | 92 | 92 | 92 | 90 | 89 | 87 | 83 | 83 | 90% | |
| 90 | 88 | 88 | 88 | 88 | 88 | 84 | 83 | 79 | 75 | 85% | |
| 100 | 100 | 100 | 100 | 100 | 97 | 97 | 97 | 97 | 97 | 98% | |
| matrix | 87.54% | ||||||||||
| tiers | |||||||||||
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 91 | 99% | |
| 100 | 100 | 100 | 100 | 100 | 92 | 86 | 86 | 86 | 86 | 94% | |
| 97 | 86 | 86 | 86 | 85 | 82 | 82 | 81 | 81 | 81 | 85% | |
| 93 | 88 | 88 | 88 | 80 | 79 | 76 | 75 | 53 | 50 | 77% | |
| tiers | 88.64% | ||||||||||
| 88.09% | |||||||||||
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 | 50 | 50 | 50 | 50 | 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 | 100 | 100 | 100 | 100 | 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% | |
| 89.58% | |||||||||||
Dialogue tags
Various tasks related to dialogue tags in text.
| Scenario | #1 | #2 | #3 | #4 | #5 | #6 | #7 | #8 | #9 | #10 | Total |
|---|---|---|---|---|---|---|---|---|---|---|---|
| dialogue-200 | |||||||||||
| 87 | 76 | 55 | 47 | 45 | 38 | 14 | 0 | 0 | 0 | 36% | |
| 26 | 12 | 10 | 10 | 2 | 1 | 1 | 0 | 0 | 0 | 6% | |
| 94 | 64 | 50 | 50 | 50 | 50 | 20 | 18 | 18 | 10 | 42% | |
| dialogue-200 | 28.22% | ||||||||||
| dialogue-500 | |||||||||||
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | |
| 46 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5% | |
| 14 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2% | |
| dialogue-500 | 2.18% | ||||||||||
| Ungrouped | |||||||||||
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 61 | 96% | |
| 26.75% | |||||||||||
Language Comprehension
Does the model understand more than just English?
| Scenario | #1 | #2 | #3 | #4 | #5 | Total |
|---|---|---|---|---|---|---|
| 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 0 | 80% | |
| 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 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 92 | 98% | |
| 100 | 100 | 100 | 100 | 100 | 100% | |
| 99.67% | ||||||
N-Length Sentences
Write sentences with exactly N words
| Scenario | #1 | #2 | #3 | #4 | #5 | #6 | #7 | #8 | #9 | #10 | Total |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 100 | 100 | 100 | 98 | 98 | 98 | 89 | 87 | 82 | 81 | 93% | |
| 56 | 54 | 48 | 39 | 39 | 39 | 25 | 11 | 8 | 5 | 33% | |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | |
| 41.92% | |||||||||||
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 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 20% | |
| outline-count | 73.33% | ||||||||||
| pov-count | |||||||||||
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 0 | 0 | 0 | 70% | |
| 100 | 100 | 100 | 100 | 0 | 0 | 0 | 0 | 0 | 0 | 40% | |
| pov-count | 70.00% | ||||||||||
| 71.67% | |||||||||||
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 | 96 | 96 | 93 | 90 | 90 | 90 | 93% | |
| 100 | 67 | 67 | 67 | 67 | 67 | 67 | 71% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 95 | 95 | 95 | 95 | 94 | 93 | 92 | 94% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 99 | 100% | |
| 97 | 93 | 93 | 93 | 89 | 89 | 89 | 92% | |
| Generic Prompt | 94.47% | |||||||
| Specific Prompt | ||||||||
| 100 | 100 | 100 | 100 | 100 | 100 | 83 | 98% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 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 | 100% | |
| 99 | 98 | 98 | 96 | 96 | 94 | 93 | 97% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 100% | |
| 100 | 100 | 100 | 100 | 99 | 99 | 93 | 99% | |
| Specific Prompt | 99.21% | |||||||
| 96.84% | ||||||||
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 | 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% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 0 | 0 | 0 | 70% | |
| 76.00% | |||||||||||
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 | 98 | 77 | 77 | 9 | 0 | 0 | 66% | |
| 77 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8% | |
| sentences | 74.82% | ||||||||||
| words | |||||||||||
| 100 | 100 | 100 | 100 | 100 | 100 | 98 | 98 | 98 | 98 | 99% | |
| 100 | 100 | 100 | 100 | 100 | 100 | 100 | 98 | 98 | 98 | 99% | |
| 100 | 98 | 98 | 98 | 92 | 54 | 54 | 54 | 27 | 9 | 68% | |
| 100 | 100 | 92 | 27 | 27 | 27 | 9 | 9 | 2 | 0 | 39% | |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | |
| words | 61.33% | ||||||||||
| 75.44% | |||||||||||