Run: 2026-06-24-01KVX376TD849JXYB86EB2406K

Run Details

Duration:
54.8s
Cost:
$0.013703
Provider:
Z.AI

Evaluation summary

Score Evaluator
Details Link
97.63% Matches word count (details)
66.67% Dialogue to Total Word Ratio (details)
82.1467% 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
"So we go in through the bouncy castle," Molly said. "The bouncy castle?" "It’s an inflatable entry point, Bill. A tactical advantage." "It’s a static electricity death trap." "Bill, we are stealing presents from a six-year-old today. We need to be nimble." "A rich six-year-old. Did you see the Lego sets in the yard?" "The Death Star?" "No, the Ultimate Collector Millennium Falcon. Pure resale value on eBay." "Fine. We go in through the bouncy castle. What’s the distraction?" "I was thinking the hired clown." "The clown is already there, Molly." "Exactly. I just have to pay him to cry." "You can’t pay a clown to cry." "I’ll tell him his unicycle got towed. Instant tears. Kids will panic." "While they panic, we grab the presents." "And the cake." "Molly, we are not stealing the cake." "It’s a three-tier fondant Batman. Do you know how much black fondant goes for on the black market?" "Fine. The cake too." "What about the parents?" "They’ll be drinking rosé in the kitchen. They won't notice a thing." "So the clown cries, the kids scream, we grab the loot and the fondant." "And bounce." "Literally," Bill sighed.
created_at"2026-06-24T15:15:46.651Z" 6/24/2026, 3:15:46 PM
model"z-ai/glm-5.2-20260616"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency2372
moderation_latency(null)
generation_time54595
tokens_prompt77
tokens_completion2963
native_tokens_prompt73
native_tokens_completion3091
native_tokens_completion_images(null)
native_tokens_reasoning2820
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)
usage0.0137026
router(null)
provider_responses
0
endpoint_id"442ea97f-ad5e-40d5-b9a6-66e9e0417dce"
id"202606242315460fb7a5f5090640c4"
is_byokfalse
latency2372
model_permaslug"z-ai/glm-5.2-20260616"
provider_name"Z.AI"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.16.0; linux; x64))"
http_referer(null)
request_id"req-1782314146-H3XLwhGNksr0eqlqiDBt"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1782314146-7uah2BNxMR21hgVLEOJK"
upstream_id"202606242315460fb7a5f5090640c4"
total_cost0.0137026
cache_discount(null)
upstream_inference_cost0
provider_name"Z.AI"
response_cache_source_id(null)
data_region"global"

Evaluation details

Result Evaluator Details Meta Data
97.63% Matches word count n/a
neededCleanfalse
words193
66.67% Dialogue to Total Word Ratio
Ratio: 97.98%, Deviation: 7.98%
neededCleanfalse
wordsTotal198
wordsDialogue194
82.1467%