Run: 2026-09-02-01M1HA0B020H3M2JEGT1ENM8ZW

Run Details

Duration:
4m 31s
Cost:
$0.080204
Provider:
Alibaba

Evaluation summary

Score Evaluator
Details Link
100.00% Matches word count (details)
100.00% Dialogue to Total Word Ratio (details)
100.0000% Overall

Model input

User/Human
You are a author of comedic heist books. Please write a 500 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 spread the crayon map across the dusty van floor. "We enter through the bouncy castle before cake arrives today." Bill polished a stolen clown nose with his sleeve slowly. "A castle? Molly, children always guard castles like tiny knights." Molly tapped the invitation where a llama wore a hat. "Tiny knights fear nothing, especially llamas wearing ridiculous party hats." Bill adjusted his fake mustache in the rearview mirror carefully. "The llama is our distraction, not our rival, dear Molly." Molly uncapped a marker and drew a wobbly arrow fast. "We follow the arrow straight to the gift table quickly." Bill opened a duffel bag decorated with cartoon dinosaurs outside. "Every present enters this bag, including the suspicious llama too." Molly counted juice boxes with the intensity of a general. "No llama leaves with anything except party trauma, okay Bill." Bill practiced a waddle meant to resemble a friendly penguin. "Penguins do not carry sacks, but thieves do, dear Molly." Molly attached a bell to each tiny black boot silently. "These boots will jingle when children expect complete silence later." Bill packed a sandwich because crime made him hungry again. "Eat after we steal the presents, not before, please Bill." Molly memorized the guest list, noting every allergy and grudge. "Allergies are useless unless presents contain peanuts somehow, dear Molly." Bill folded a napkin into a crude escape map hastily. "The exit is behind the magician, unless he vanishes first." Molly glued glitter to her gloves for festive camouflage today. "Glitter attracts children, Bill, like moonlight attracts confused little moths." Bill rehearsed a magic trick involving a rubber chicken nervously. "If they demand magic, you produce chicken, then escape quickly." Molly tested a tiny voice recorder hidden inside a duck. "Quack twice if the birthday child approaches the volcano now." Bill wore socks over his shoes to mute footsteps completely. "Silent feet are useless if the duck quacks loudly, Bill." Molly balanced a cupcake on the map like a monument. "This cake marks the treasure, not the escape route, Molly." Bill licked frosting from his thumb with criminal confidence again. "Treasure tastes better when nobody expects vanilla today, dear Bill." Molly sketched a backup plan involving a runaway candy cart. "When candy flies, children look upward, and we leave fast." Bill saluted with juice, spilling slightly onto the map nearby. "Sticky maps attract ants, but ants cannot arrest us, Molly." Molly ignored him and measured the garden gate with string. "The gate is narrow, but presents can be squeezed through." Bill tried squeezing a teddy bear through an imaginary gap. "Teddy bears bend, Molly, unlike our questionable daily life choices." Molly rolled her eyes and packed extra candy as bait. "Candy is bribery, and bribery is basically babysitting, truly Bill." Bill tucked a whoopee cushion into his tactical belt proudly. "A whoopee cushion creates chaos, and chaos loves thieves, Molly." Molly zipped the bag and smiled at the invitation once. "Tomorrow, every child learns that generosity has a van, Bill."
created_at"2026-09-02T14:57:39.338Z" 9/2/2026, 2:57:39 PM
model"qwen/qwen3.8-max-20260803"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency968
moderation_latency(null)
generation_time270507
tokens_prompt75
tokens_completion12692
native_tokens_prompt127
native_tokens_completion13325
native_tokens_completion_images(null)
native_tokens_reasoning12666
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)
usage0.080204
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788361059-Kh0Uxp3Z0QqVgcpOhgCu"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788361059-7KRZmPcefaz6kV9EaIi2"
upstream_id"chatcmpl-c9d77b90-333a-977d-b495-2275dde3d527"
provider_responses
0
endpoint_id"6332e9fd-e0c4-4cae-8c17-d25bc774864a"
id"chatcmpl-c9d77b90-333a-977d-b495-2275dde3d527"
is_byokfalse
latency968
model_permaslug"qwen/qwen3.8-max-20260803"
provider_name"Alibaba"
status200
total_cost0.080204
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
100.00% Matches word count n/a
neededCleanfalse
words500
100.00% Dialogue to Total Word Ratio
Ratio: 50.00%, Deviation: 0.00%
neededCleanfalse
wordsTotal500
wordsDialogue250
100.0000%