Run: 2026-09-02-01M1GW8H7GFT21WV3QPRSSXG69

Run Details

Duration:
50.8s
Cost:
$0.010343
Provider:
Z.AI

Evaluation summary

Score Evaluator
Details Link
99.98% Matches word count (details)
96.08% Dialogue to Total Word Ratio (details)
98.0311% 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

AI
Molly peered through the bushes. "Twenty-seven kids, one bouncy castle, zero security." "Zero?" Bill said. "There's a clown." "A clown isn't security, Bill." "That clown made a balloon animal that looked exactly like my parole officer. That's a threat." "Focus. We go in as caterers." "We're not caterers." "We're wearing aprons." "Those are bibs." "Bibs, aprons—semantics. We load the presents into the van during the magic show." "Which present do we take first?" "All of them." "The one shaped like a bike?" "Especially the bike." "Fine. Bike first, then literally everything else." "You can't fit a bike in a duffel bag." "Then we wheel it out." "Wearing bibs?" "Caterer bibs. Stop asking questions." "What if the clown recognizes us?" "Why would the clown recognize us?" "Because the clown IS my parole officer." Molly stared at him. "Bill. Is that why you didn't want to do the bank job?" "The bank has that same clown. Birthday division." "Your parole officer works birthday parties as a clown?" "Side hustle. Economy's rough." "New plan. We wait for the cake." "Why?" "Because nobody—nobody—watches the presents during cake." "See, this is why you're the brains." "And Bill? Lose the bib."
created_at"2026-09-02T10:57:27.802Z" 9/2/2026, 10:57:27 AM
model"z-ai/glm-5.3-20260816"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency3372
moderation_latency(null)
generation_time50763
tokens_prompt75
tokens_completion2182
native_tokens_prompt73
native_tokens_completion2344
native_tokens_completion_images(null)
native_tokens_reasoning2044
native_tokens_cached64
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
num_fetches(null)
web_search_engine(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"stop"
service_tier(null)
usage0.01034284
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788346647-IqcfoW3u1RioUa9RTy3i"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788346647-k46QObWB832wuwv5fS03"
upstream_id"202609021857276a6e4337efe943f9"
provider_responses
0
endpoint_id"db975786-e7f6-4838-9e56-3e0b77f1bdc2"
id"202609021857276a6e4337efe943f9"
is_byokfalse
latency3372
model_permaslug"z-ai/glm-5.3-20260816"
provider_name"Z.AI"
status200
total_cost0.01034284
cache_discount0.00007296
upstream_inference_cost0
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
neededCleanfalse
words198
96.08% Dialogue to Total Word Ratio
Ratio: 94.47%, Deviation: 4.47%
neededCleanfalse
wordsTotal199
wordsDialogue188
98.0311%