Run: 2026-04-24-01KQ088NE57XAG3D0DN877K2AW

Run Details

Duration:
2m 1s
Cost:
$0.028684
Provider:
SiliconFlow

Evaluation summary

Score Evaluator
Details Link
100.00% Matches word count (details)
99.84% Dialogue to Total Word Ratio (details)
99.9201% Overall

Model input

User/Human
You are a author of comedic heist books. Please write a 200 word scene that has 50% 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 adjusted her binoculars from the damp bushes, carefully scanning the suburban backyard fortifications. A brightly colored bouncy castle dominated the perimeter, its primary shades an absolute affront to tactical stealth operations. Bill crouched beside her in the dirt, chewing nervously on a thick strand of red licorice. The primary target was just ahead on the lawn: a folding table groaning under the immense weight of wrapped birthday presents. The summer air smelled heavily of cheap vanilla frosting, grilled hot dogs, and impending juvenile chaos. She pulled down her black ski mask, checking her tactical watch. It was go time. "So, the drop point is the patio," Molly whispered. "Security looks lax. One clown, zero backup. We breach the hedge," Bill replied. "What about the slide?" "Leave that to me. I've practiced my tactical descent." "Bill, it's plastic. Climb the ladder." "You grab the loot. I'll secure the perimeter." "We hit the table at fourteen hundred. That's cake time. Kids will be focused on sugar." "What if the clown makes a balloon animal?" "Then let him make a poodle. Grab the matte paper, not the shiny boxes. Shiny is a trap. Usually socks." "Right. Shiny equals socks. Let's do this."
created_at"2026-04-24T17:23:11.46Z" 4/24/2026, 5:23:11 PM
model"z-ai/glm-5.1-20260406"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1273
moderation_latency(null)
generation_time120890
tokens_prompt77
tokens_completion5987
native_tokens_prompt66
native_tokens_completion6498
native_tokens_completion_images(null)
native_tokens_reasoning6230
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"
usage0.0286836
router(null)
provider_responses
0
endpoint_id"0ef82a37-906f-4cbe-99fc-3645b17597ff"
id"019dc08456d1bcc21df7f30d7344d62a"
is_byokfalse
latency1272
model_permaslug"z-ai/glm-5.1-20260406"
provider_name"SiliconFlow"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer(null)
request_id"req-1777051391-Tvr04jDFDGpamUYouMkS"
session_id(null)
api_type"completions"
id"gen-1777051391-651qfA1v4KzOVlwyTR6I"
upstream_id"019dc08456d1bcc21df7f30d7344d62a"
total_cost0.0286836
cache_discount(null)
upstream_inference_cost0
provider_name"SiliconFlow"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
100.00% Matches word count n/a
neededCleanfalse
words200
99.84% Dialogue to Total Word Ratio
Ratio: 48.00%, Deviation: 2.00%
neededCleanfalse
wordsTotal200
wordsDialogue96
99.9201%