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Run: 2026-04-24-01KQ08C23KA52DJN4FBWA3MFKR
Run Details
Model:
Z.AI GLM 4.5 Air
Test:
Dialogue tags
Scenario:
Write 200 words with 50% dialogue
Duration:
3.4s
Cost:
$0.000214
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 200 word scene that has 50% 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 the route on the napkin with a sticky finger. “Okay, the west window is our best entry. Low risk, high reward. Once we’re in, we grab and ghost. Simple.” “Simple?” Bill scoffed, polishing a monocle. “Molly, my dear, you’re thinking like a professional. This requires finesse. These are children’s presents. We need a theme. I’ll be ‘The Jolly Present Goblin’. You can be… ‘The Shadow of Wrapping Paper’.” “No,” Molly said flatly. “We’re not dressing up. The goal is to not be seen. And ‘Goblin’ sounds aggressive. We don’t want any crying.” “Oh, right, because the sound of a crying child is the worst thing we could possibly hear while committing a felony,” Bill muttered, adjusting his tiny top hat. “Fine, no costumes. But we are taking the giant inflatable unicorn. It’ll be our getaway vehicle.” Molly stared at him. “Bill, we’re stealing it in a wheelbarrow.” “Details.” He waved a dismissive hand. “Now, about the loot distribution…”
created_at
"2026-04-24T17:25:02.719Z"
4/24/2026, 5:25:02 PM
model
"z-ai/glm-4.5-air"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
1081
moderation_latency
(null)
generation_time
3195
tokens_prompt
77
tokens_completion
274
native_tokens_prompt
70
native_tokens_completion
237
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
0.00021362
router
(null)
provider_responses
0
endpoint_id
"f7dc79ca-bbbd-41a1-8eef-616d981ff1cb"
id
"019dc0860bcd1e51468f2ad096fd2086"
is_byok
false
latency
1075
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-1777051502-QqJJFp4QxongGMLq2ngA"
session_id
(null)
api_type
"completions"
id
"gen-1777051502-gGCR9yIpPobTYHb4CFM5"
upstream_id
"019dc0860bcd1e51468f2ad096fd2086"
total_cost
0.00021362
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
160
0.00%
Dialogue to Total Word Ratio
Ratio: 78.13%, Deviation: 28.13%
neededClean
false
wordsTotal
160
wordsDialogue
125
0.0000%