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Run: 2026-04-24-01KQ04EDDRK44Y94G25AXMRJG7
Run Details
Model:
Z.AI GLM 4.5 Air
Test:
Dialogue tags
Scenario:
Write 500 words with 30% dialogue
Duration:
12.8s
Cost:
$0.000455
Provider:
SiliconFlow
Evaluation summary
Score
Evaluator
Details Link
0.00%
Matches word count
(details)
0.00%
Dialogue to Total Word Ratio
(details)
0.0000%
Overall
Model input
User/Human
You are a author of comedic heist books. Please write a 500 word scene that has 30% words of dialogue between two thieves named Molly and Bill who are planning to break into a children's party to steal all the presents. Only include the prose of the scene without any markdown or commentary.
Model response
Messages
Meta
AI
Molly traced a finger over the garish wrapping paper of a large box. “Definitely a Power Ranger set. The kid is either six or going through a very specific mid-life crisis.” She stood up, brushing imaginary dust from her black catsuit. “Alright, Bill, the layout’s simple. One entrance, one exit. A distracted mom, a horde of sugar-fueled children. It’s a cakewalk.” Bill, who was currently trying to balance a stolen cupcake on his nose, grunted. “A cakewalk with fifty tiny, screaming motion sensors. My biggest concern isn’t the security system, Molly. It’s the loot.” Molly’s eyes narrowed. “What are you talking about? It’s all right here. The toys are stacked, the gift tags are practically confessing their contents.” Bill finally gave up on the cupcake and popped it in his mouth. “No, I mean the loot,” he said, his mouth full. “Look, we’re professionals. We don’t do smash-and-grab for a plastic dinosaur that sings ‘Baby Shark’ on a loop. We need the high-value items.” Molly stared at him, unblinking. “Bill, we are stealing from a five-year-old’s birthday party. The high-value item here is a coupon for a free ice cream cone.” “There you go,” Bill said, pointing a frosting-covered finger at her. “That’s a get-out-of-jail-free card for a future crime. That’s strategic asset acquisition. Plus, what if one of these tiny humans is secretly a tech genius and got a new laptop? We’re stealing from the next Tony Stark, Molly! We could be getting in on the ground floor!” Molly massaged her temples. “Our plan was to grab the presents and go. Now we’re doing due diligence on the probable intelligence of a toddler who thinks fart noises are the height of comedy.” “Exactly!” Bill beamed. “You have to think three steps ahead. So, our new objective is a thorough, item-by-item inventory. We assess, we categorize, we only extract the assets with the highest potential for future resale or utility.” Molly let out a long, slow breath. “Fine. But if the only ‘high-value item’ you find is a half-eaten bag of Goldfish crackers, we are still taking them. We are not leaving empty-handed.” “Deal,” Bill said, grabbing another cupcake. “Now, let’s find that laptop.”
created_at
"2026-04-24T16:16:25.541Z"
4/24/2026, 4:16:25 PM
model
"z-ai/glm-4.5-air"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
7011
moderation_latency
(null)
generation_time
12597
tokens_prompt
77
tokens_completion
595
native_tokens_prompt
70
native_tokens_completion
518
native_tokens_completion_images
(null)
native_tokens_reasoning
0
native_tokens_cached
0
num_media_prompt
(null)
num_input_audio_prompt
(null)
num_media_completion
0
num_search_results
(null)
num_fetches
(null)
web_search_engine
(null)
origin
"https://ncbench.com/"
is_byok
false
finish_reason
"stop"
native_finish_reason
"stop"
usage
0.00045528
router
(null)
provider_responses
0
endpoint_id
"f7dc79ca-bbbd-41a1-8eef-616d981ff1cb"
id
"019dc04750605811c0468f630ca42e04"
is_byok
false
latency
7011
model_permaslug
"z-ai/glm-4.5-air"
provider_name
"SiliconFlow"
status
200
user_agent
"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer
(null)
request_id
"req-1777047385-QQxqebe3hMoEY92n6R2Y"
session_id
(null)
api_type
"completions"
id
"gen-1777047385-fYF8Mh0ImiMELpObv4rD"
upstream_id
"019dc04750605811c0468f630ca42e04"
total_cost
0.00045528
cache_discount
(null)
upstream_inference_cost
0
provider_name
"SiliconFlow"
response_cache_source_id
(null)
Evaluation details
Result
Evaluator
Details
Meta Data
0.00%
Matches word count
n/a
neededClean
false
words
364
0.00%
Dialogue to Total Word Ratio
Ratio: 76.38%, Deviation: 46.38%
neededClean
false
wordsTotal
381
wordsDialogue
291
0.0000%