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Run: 2026-09-02-01M1H58WNCJN21B4MKQW4HZ63W
Run Details
Model:
Z.AI GLM 5.3 Flash (Reasoning, Low)
Test:
Dialogue tags
Scenario:
Write 200 words with 10% dialogue
Duration:
23.4s
Cost:
$0.000078
Provider:
Z.AI
Evaluation summary
Score
Evaluator
Details Link
99.74%
Matches word count
(details)
0.00%
Dialogue to Total Word Ratio
(details)
49.8722%
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 crouched behind the bounce house, adjusting her grapple hook made from a jump rope and pure desperation. The birthday party raged on across the lawn—thirty sugared-up children guarding a mountain of presents like tiny, frosted elves. Bill slid in beside her, dressed as a clown. "You look horrifying," she whispered. "That's the point. No one suspects a sad clown." "Everyone suspects a sad clown, Bill. That's the entire genre." He ignored her, peering through the mesh window. The presents sat on a folding table beneath a banner reading HAPPY 7TH BIRTHDAY TYLER. Twenty-three boxes. Bill had counted twice. Molly had counted three times, because she didn't trust him with numbers. "The mother's hovering," Bill said. "Every time a kid gets close to the table, she swoops in like a dragon on a hoard." "That's not a dragon, that's a woman who spent four hundred dollars on a LEGO set." They watched a six-year-old poke suspiciously at Bill's left shoe, which was, regrettably, still on fire from the escape at the toy store. Molly sighed. "New plan. We go in as parents." "We don't have children." "Then we better find one in the next sixty seconds, or that cake is leaving without us."
created_at
"2026-09-02T13:34:56.803Z"
9/2/2026, 1:34:56 PM
model
"z-ai/glm-5.3-flash-20260826"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
10373
moderation_latency
(null)
generation_time
23305
tokens_prompt
75
tokens_completion
316
native_tokens_prompt
73
native_tokens_completion
289
native_tokens_completion_images
(null)
native_tokens_reasoning
9
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"
service_tier
(null)
usage
0.000077725
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer
(null)
request_id
"req-1788356096-GoLTkrqHglNiFLtSCvmT"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1788356096-AXrCDOty0ZLTwXBuhiPA"
upstream_id
"20260902213457e913011ac77c4729"
provider_responses
0
endpoint_id
"8e9fe48b-2f91-41c3-a8a7-e4a93a8c4ff0"
id
"20260902213457e913011ac77c4729"
is_byok
false
latency
10373
model_permaslug
"z-ai/glm-5.3-flash-20260826"
provider_name
"Z.AI"
status
200
total_cost
0.000077725
cache_discount
(null)
upstream_inference_cost
0
provider_name
"Z.AI"
response_cache_source_id
(null)
data_region
"global"
workspace_id
"97e315e5-d303-487d-83c1-83180e8a13d4"
Evaluation details
Result
Evaluator
Details
Meta Data
99.74%
Matches word count
n/a
neededClean
false
words
204
0.00%
Dialogue to Total Word Ratio
Ratio: 41.83%, Deviation: 31.83%
neededClean
false
wordsTotal
208
wordsDialogue
87
49.8722%