Run: 2026-09-02-01M1GWQ0V6SJWNY7VFCAPB7MSA

Run Details

Duration:
22.6s
Cost:
$0.000202
Provider:
Z.AI

Evaluation summary

Score Evaluator
Details Link
100.00% Matches word count (details)
97.29% Dialogue to Total Word Ratio (details)
98.6457% 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 slapped the blueprints onto the van's hood and waited for Bill to catch up. "You're sure this is the target?" Bill asked. "The community center, Saturday, two p.m. Little Timmy's seventh birthday." "Guard dogs?" "Worse. A bouncy castle and twelve kids hopped up on juice." "I don't do children, Molly. They scream. They point. They have no respect for the craft." "That's why you're on wrapping duty. I handle the present table." "Security?" "One grandma. Armed with knitting needles and opinions." "What's the extraction plan?" "Sugar crash hits at three. They all go down like little dominoes. We walk out with the loot in garbage bags." "Garbage bags?" "Fancy ones. Polka dots." "And if the clown notices us?" "The clown's a mole. Been on our payroll since the Hendersons' bar mitzvah." Bill wiped his forehead. "I'm having moral qualms here. These are children's presents." "Relax. Half are socks. The good stuff goes to the orphanage." "The orphanage?" "Christmas Eve. Those kids deserve heists too." Bill groaned. "Fine. But I'm keeping the pony." "There's no pony, Bill." "That's exactly what they said about the Hendersons' bar mitzvah." Molly rolled up the blueprints. "Gear up. We strike at cake time."
created_at"2026-09-02T11:05:22.542Z" 9/2/2026, 11:05:22 AM
model"z-ai/glm-5.3-flash-20260826"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency3645
moderation_latency(null)
generation_time22599
tokens_prompt75
tokens_completion841
native_tokens_prompt73
native_tokens_completion786
native_tokens_completion_images(null)
native_tokens_reasoning485
native_tokens_cached0
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)
usage0.000201975
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788347122-N7jg2vtg521uu10XCdez"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788347122-ViXf25KmDTtUrtqWUpOY"
upstream_id"20260902190522c55866adb169473a"
provider_responses
0
endpoint_id"8e9fe48b-2f91-41c3-a8a7-e4a93a8c4ff0"
id"20260902190522c55866adb169473a"
is_byokfalse
latency3645
model_permaslug"z-ai/glm-5.3-flash-20260826"
provider_name"Z.AI"
status200
total_cost0.000201975
cache_discount(null)
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
100.00% Matches word count n/a
neededCleanfalse
words199
97.29% Dialogue to Total Word Ratio
Ratio: 85.93%, Deviation: 4.07%
neededCleanfalse
wordsTotal199
wordsDialogue171
98.6457%