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Run: 2026-04-24-01KQ04C0JN94Q3YD91ZRWRM0TF
Run Details
Model:
Z.AI GLM 4.5 Air
Test:
Dialogue tags
Scenario:
Write 200 words with 10% dialogue
Duration:
19.8s
Cost:
$0.000499
Provider:
SiliconFlow
Evaluation summary
Score
Evaluator
Details Link
0.00%
Matches word count
(details)
0.01%
Dialogue to Total Word Ratio
(details)
0.0029%
Overall
Model input
User/Human
You are a author of comedic heist books. Please write a 200 word scene that has 10% 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 adjusted her balaclava, peering through a gap in the hedge at the chaotic explosion of color and sound. Tiny humans shrieked with delight over cheap plastic toys, while a bouncy castle sighed under the weight of their energy. Bill shifted beside her, eyeing a particularly large pile of brightly wrapped presents piled precariously near the garden shed. "Right," Molly muttered, her voice muffled. "Distraction first." Bill pointed a gloved finger towards the pinata swaying wildly above the grass. "Got it. We hit that when the sugar rush peaks. They'll be fighting over scraps." Molly shook her head, a small sigh escaping. "Bill, pinatas are meant to be broken. We need them distracted *and* stationary." She gestured towards the pile. "That's our prize." Bill just grinned, wiggling his eyebrows. "Sugar rush, stationary kids. Bet on it." They watched as a small child stumbled, sending a cupcake flying directly towards Bill’s head. He ducked fast. "See?" he whispered. "Perfect chaos."
created_at
"2026-04-24T16:15:06.847Z"
4/24/2026, 4:15:06 PM
model
"z-ai/glm-4.5-air"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
2286
moderation_latency
(null)
generation_time
19709
tokens_prompt
77
tokens_completion
671
native_tokens_prompt
66
native_tokens_completion
570
native_tokens_completion_images
(null)
native_tokens_reasoning
344
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
0.00049944
router
(null)
provider_responses
0
endpoint_id
"f7dc79ca-bbbd-41a1-8eef-616d981ff1cb"
id
"019dc0460dc8a41cb305acde938a8155"
is_byok
false
latency
2286
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-1777047306-sWpMhjFgVoEll9ENz6S4"
session_id
(null)
api_type
"completions"
id
"gen-1777047306-ntoANZMx6yTeeEotiQYg"
upstream_id
"019dc0460dc8a41cb305acde938a8155"
total_cost
0.00049944
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
159
0.01%
Dialogue to Total Word Ratio
Ratio: 27.67%, Deviation: 17.67%
neededClean
false
wordsTotal
159
wordsDialogue
44
0.0029%