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Run: 2026-09-02-01M1H5HY7Y0RDC2127HGHKVXR4
Run Details
Model:
Z.AI GLM 5.3 Flash (Reasoning, Low)
Test:
Dialogue tags
Scenario:
Write 200 words with 90% dialogue
Duration:
14.3s
Cost:
$0.000076
Provider:
Z.AI
Evaluation summary
Score
Evaluator
Details Link
99.98%
Matches word count
(details)
51.74%
Dialogue to Total Word Ratio
(details)
75.8606%
Overall
Model input
User/Human
You are a author of comedic heist books. Please write a 200 word scene that has 90% 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
"The code word is 'balloon animal,'" Bill said. "That's it? That's the whole code word?" "Want me to change it?" "No, it's fine. It's just—we're grown adults planning to steal presents from a six-year-old's birthday party." "Rich six-year-old. That kid's getting a pony, Molly. A pony." "We are not stealing a pony." "I didn't say we were stealing the pony. I said we're stealing the presents. Keep up." "How do we even get in? You said the yard's fenced." "Clown costume. I ordered two." "I'm not wearing the nose." "You'll wear the nose. The nose sells the clown." "Fine. But if a child hugs me, I'm out." "Children love me. I've got that face." "That face is why we've never been caught, Bill. Nobody suspects a man shaped like a teapot." "So we go in through the bounce house, you grab the gift table, I distract the parents with juggling." "You can't juggle." "I've been practicing with oranges." "You've been eating oranges." "The juggling and the eating are related, yes." "What if the birthday kid cries?" "Then we leave him the pony. We're not monsters, Molly." "Bill, there's no actual pony." "...Then this heist just got sadder."
created_at
"2026-09-02T13:39:53.224Z"
9/2/2026, 1:39:53 PM
model
"z-ai/glm-5.3-flash-20260826"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
4737
moderation_latency
(null)
generation_time
14300
tokens_prompt
75
tokens_completion
311
native_tokens_prompt
73
native_tokens_completion
298
native_tokens_completion_images
(null)
native_tokens_reasoning
10
native_tokens_cached
64
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
0.000076135
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer
(null)
request_id
"req-1788356393-AAB5Trsj99R8AWZQfCuo"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1788356393-bgOa0ZsGo9mVCesuY6zp"
upstream_id
"202609022139536ebce65dae3b48c0"
provider_responses
0
endpoint_id
"8e9fe48b-2f91-41c3-a8a7-e4a93a8c4ff0"
id
"202609022139536ebce65dae3b48c0"
is_byok
false
latency
4737
model_permaslug
"z-ai/glm-5.3-flash-20260826"
provider_name
"Z.AI"
status
200
total_cost
0.000076135
cache_discount
0.00000768
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
99.98%
Matches word count
n/a
neededClean
false
words
198
51.74%
Dialogue to Total Word Ratio
Ratio: 99.01%, Deviation: 9.01%
neededClean
false
wordsTotal
202
wordsDialogue
200
75.8606%