Run: 2026-09-02-01M1H9A9RJ4N0PV8DVJFAHGQT0

Run Details

Duration:
1m 2s
Cost:
$0.001299
Provider:
Alibaba

Evaluation summary

Score Evaluator
Details Link
0.49% Matches word count (details)
48.68% Dialogue to Total Word Ratio (details)
24.5853% Overall

Model input

User/Human
You are a author of comedic heist books. Please write a 500 word scene that has 30% 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
The air in the banquet hall hung thick with the cloying scent of vanilla frosting and the distinct, ammonia tang of uncontainable childhood energy. Above the ceiling tiles, within a ductwork system that felt less like an infiltration vector and more like a rusted throat, Molly pressed her body flat against the corrugated metal. Her tactical gear, usually matte black for optimal shadow blending, had been forced into a compromise involving bright yellow rubber ducks stitched onto the shoulder pads after a misunderstanding with a mascot costume rental agency two days prior. The target lay directly below: the Gift Table of Doom. It was a sprawling mountain of rectangular ambitions, wrapped in paper that screamed of last-minute panic and discount retail therapy. Beside her, Bill was vibrating. It wasn't the subtle tension of anticipation that marked a seasoned professional; it was the erratic oscillation of a man who had consumed three espresso martinis right before donning his tuxedo tails. He was hyperventilating into a silk handkerchief embroidered with the initials 'B.B.' Molly manipulated the magnetic decoder, feeding the code sequence into the electronic lock mechanism concealed behind the drywall. The device chirped a satisfied green tone, confirming that the security override was active. She prepared the extraction rope, testing the tensile strength of the fibers woven from recycled parachute material. Bill produced a slingshot loaded with marshmallow projectiles, insisting they were necessary for crowd control in the event of a hostile parent intervention. Molly confiscated the projectile weapon and replaced it with a walkie-talkie tuned to the frequency of the DJ playing Baby Shark. The vibration of the bass shook dust from the rafters, coating Molly's eyelashes in a fine gray powder. She checked her chronometer, the face cracked from a previous skirmish involving a vending machine and a rogue golf cart. The second hand swept past the twelve with cruel precision. Four minutes remained until the designated window of opportunity. Bill finally stopped flapping the handkerchief, wiped his brow with a trembling elbow, and adjusted his crooked bow tie while muttering apologies to the architecture, his breath fogging the mesh. "Is the badger mandatory?" "It is a psychological anchor. Essential." "I have the sporks ready." "Double-tape the handles immediately." "No glitter bombs?" "Glitter triggers the silent alarms." "Doggy disco route viable?" "Inflatable tunnel smells of collective shame." "Verify the middle name." "Arthur. Definitely no siblings listed." "Gaming console rumor credible?" "Chocolate egg priority. Dumpster protocol activated." "Consider charity aspect?" "Professional conduct required. Enter the vent." "Bill, stop shaking." "Martinis. Bad timing." "Check the clock." "Three forty-four." "On my mark." "Mark received." "Execute." "Badger fits in pocket?" "Pocket bulges." "Lube canister?" "Jackhammers stuck." "Diagram useful?" "Pink is aesthetic." "Kevin eating filter?" "He consumes nylon." "Rope test?" "Fibers hold firm." "Breath check?" "Fogging mesh." "Duct stable?" "Vibration nominal." "Last warning." "Stomach growls." "Ignore hunger."
created_at"2026-09-02T14:45:37.178Z" 9/2/2026, 2:45:37 PM
model"qwen/qwen3.7-flash-20260727"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency406
moderation_latency(null)
generation_time62377
tokens_prompt75
tokens_completion9600
native_tokens_prompt76
native_tokens_completion9971
native_tokens_completion_images(null)
native_tokens_reasoning9276
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)
usage0.00129851
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788360337-6sB71y1W6lo6gOQpohdA"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788360337-BjQc9qSiDBT6ORITvO7I"
upstream_id"chatcmpl-e7da1cf3-4b1d-9a37-b73d-f3254b459a5f"
provider_responses
0
endpoint_id"5a9a0ee6-874a-4d03-92be-e5094c0df4e7"
id"chatcmpl-e7da1cf3-4b1d-9a37-b73d-f3254b459a5f"
is_byokfalse
latency406
model_permaslug"qwen/qwen3.7-flash-20260727"
provider_name"Alibaba"
status200
total_cost0.00129851
cache_discount(null)
upstream_inference_cost0
provider_name"Alibaba"
response_cache_source_id(null)
data_region"global"
workspace_id"97e315e5-d303-487d-83c1-83180e8a13d4"

Evaluation details

Result Evaluator Details Meta Data
0.49% Matches word count n/a
neededCleanfalse
words473
48.68% Dialogue to Total Word Ratio
Ratio: 26.21%, Deviation: 3.79%
neededCleanfalse
wordsTotal477
wordsDialogue125
24.5853%