Run: 2026-09-02-01M1HH9CT2K73HY00AMN93JFTK

Run Details

Duration:
3m 8s
Cost:
$0.008006
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 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
Molly’s hideout was a storage shed behind a petting zoo, and it smelled like wet llama and poor decisions. A crayon map of Maple Street fluttered on a table nailed to four milk crates. It showed three things: the backyard of a birthday party, the route to the driveway, and a red circle around a pile of presents. Bill arrived wearing a raincoat indoors. He carried a net, a cookie sheet, and a moral compass that he kept forgetting to calibrate. The two of them had stolen museum coins, carnival tickets, and one suspiciously valuable llama, but they had never tackled a children’s party. Molly believed the job was simple. Bill believed anything with a clown, a piñata, or a mother carrying a clipboard was a crime against planning. Somewhere down Maple Street, a toddler was practicing a princess scream. The presents waited in a gift bag shaped like a unicorn. It was going to be either a masterpiece or a disaster, and Molly had always been poor at distinguishing the two. They packed and waited calmly. Molly pointed at the cake. “We need disguises.” Bill tilted a cupcake hat. “Cupcakes?” Molly wiped frosting from her chin. “Small, sticky, impossible to trace.” Bill eyed the sugar bowl. “You hate sugar.” Molly tapped the map. “No. I hate effort.” Bill folded his arms. “Fine. What’s the plan?” Molly traced a balloon path. “Party at three. Parents drink. Kids scream. We steal gifts during the piñata.” Bill frowned hard. “The piñata?” Molly shrugged. “Chaos. Perfect.” Bill clutched a moral compass. “We have ethics.” Molly rolled her eyes. “Ethics are for people who can’t fit forty dolls in a wagon.” Bill counted imaginary dolls. “Forty?” Molly pulled a plastic tiara from a duffel. “Princess party. It’s dolls, shoes, and cursed jewelry.” Bill gasped. “We are not stealing happiness.” Molly shook a roll of paper. “No. Just wrapping paper.” Bill squinted. “That’s worse.” Molly checked her watch. “Faster.” Bill nodded. “No clown.” Molly pointed at a clown. “He’s security.” Bill looked offended. “He wears a rainbow suit.” Molly mimed a sword. “He has a balloon sword.” Bill pulled out a wallet. “Bribe him.” Molly stopped him. “With what?” Bill held up a toy. “A present.” Molly slapped the toy down. “No.” Bill produced a pizza flyer. “I’ll distract with pizza.” Molly pointed at a bouncy castle. “In the bounce castle.” Bill grinned. “Exactly.” Molly sighed. “That’s cruel.” Bill rubbed his hands. “Effective.” Molly tossed gear into a bag. “Remember gloves, hats, and a fake smile.” Bill practiced a smile. “I’m great at smiles.” Molly recoiled. “You’re terrifying at smiles.” Bill tapped the clown badge. “What if the clown calls the parents?” Molly mimed a sob. “Then we cry louder.” Bill looked shocked. “That’s cheating.” Molly straightened a hat. “It’s tradition.” Bill tugged a rusty wagon. “Do we bring the wagon?” Molly checked the brakes. “Yes. It’s faster.” Bill petted a stuffed cat. “What about the cat?” Molly pointed at a real cat. “The cat?”
created_at"2026-09-02T17:04:56.139Z" 9/2/2026, 5:04:56 PM
model"qwen/qwen3.8-flash-20260826"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency671
moderation_latency(null)
generation_time188233
tokens_prompt75
tokens_completion13429
native_tokens_prompt127
native_tokens_completion16994
native_tokens_completion_images(null)
native_tokens_reasoning16271
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)
usage0.00800623
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788368696-BAhtKsZT9mDZNudoOh3S"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788368696-m5R8k5XXRnqchLcxWpe4"
upstream_id"chatcmpl-2b3a0e66-f7f3-96c4-a997-7d87b5e189bb"
provider_responses
0
endpoint_id"84b1e4a7-5aed-4464-818f-1994f0b4ee18"
id"chatcmpl-2b3a0e66-f7f3-96c4-a997-7d87b5e189bb"
is_byokfalse
latency671
model_permaslug"qwen/qwen3.8-flash-20260826"
provider_name"Alibaba"
status200
total_cost0.00800623
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: 30.00%, Deviation: 0.00%
neededCleanfalse
wordsTotal500
wordsDialogue150
100.0000%