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Run: 2026-04-24-01KQ0476GGX84J4VBPAB9KA87X
Run Details
Model:
Z.AI GLM 4.5 Air
Test:
Dialogue tags
Scenario:
Write 500 words with 50% dialogue
Duration:
6.2s
Cost:
$0.000453
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 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
“Okay, let’s hear the genius plan,” Bill said, peeling a banana with the concentration of a bomb disposal expert. Molly rolled her eyes, flicking a loose thread off her black turtleneck. “It’s not genius, it’s elegant. We pose as performers. I’ll be ‘The Amazing Marigold,’ a children’s magician. You’ll be my lumbering, yet slightly baffling, assistant.” “I don’t look ‘slightly baffling,’ I look like a man who’s been told he has to wear a sequined waistcoat.” “You do. It’s the perfect cover. Who questions the weird-looking assistant at a kids party? We get the guest list, scope the layout, identify the gift table as our primary objective. It’s all reconnaissance.” “And when, pray tell, do we do the actual thieving? While I’m juggling flaming torches and you’re pulling rubber chickens out of a kid’s pocket?” “No, you clot. During the ‘magical musical chairs’ finale. It’s chaos. Adults are focused on who wins, kids are focused on not sitting on a spike, and the gift table will be momentarily unguarded. That’s our window.” Bill took a thoughtful bite of his banana. “And the presents? We just… grab them? What if the birthday boy’s mom tries to stop us? That woman looks like she could bench press a car.” “We don’t grab them all, you oaf. We create a diversion. I’ll whisper a secret word to the birthday boy, something like ‘bouncy castle.’ He’ll scream it, and every child within a fifty-foot radius will stampede towards the garden. That’ll clear the room.” “And where do we put the swag? I’m not stuffing a Nintendo Switch down my trousers.” “That’s what the ‘portable magic cabinet’ is for. It’s on wheels. I’ll wheel it into the kitchen, claiming I need to ‘restock my wonders,’ which sounds vaguely creepy, so no one will follow. You’ll load the presents in, I’ll give the cabinet a magical nudge towards the getaway van.” Bill stared at her, his expression unreadable. He finished his banana and dropped the peel into his empty briefcase. “You’ve thought about this far too much.” “Of course I have. It’s a heist, Bill, not a potluck. Now, get the sequined waistcoat. Try not to eat anything beforehand; the elastic waistband is not forgiving.”
created_at
"2026-04-24T16:12:29.085Z"
4/24/2026, 4:12:29 PM
model
"z-ai/glm-4.5-air"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
1134
moderation_latency
(null)
generation_time
6002
tokens_prompt
77
tokens_completion
610
native_tokens_prompt
70
native_tokens_completion
515
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
0.0004527
router
(null)
provider_responses
0
endpoint_id
"f7dc79ca-bbbd-41a1-8eef-616d981ff1cb"
id
"019dc0439d76eefca751411a85170429"
is_byok
false
latency
1134
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-1777047149-0G3R3BMAZj6UZxyJ3Gji"
session_id
(null)
api_type
"completions"
id
"gen-1777047149-QoJ0Z2SuNeZQu1wJ13CJ"
upstream_id
"019dc0439d76eefca751411a85170429"
total_cost
0.0004527
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
369
0.00%
Dialogue to Total Word Ratio
Ratio: 85.98%, Deviation: 35.98%
neededClean
false
wordsTotal
371
wordsDialogue
319
0.0000%