Run: 2026-10-27-01M5YEAA10W9GB5MJMB2NVZMF2

Run Details

Duration:
14.3s
Cost:
$0.005321
Provider:
OpenAI

Evaluation summary

Score Evaluator
Details Link
0.01% Matches word count (details)
15.30% Dialogue to Total Word Ratio (details)
7.6534% Overall

Model input

User/Human
You are a author of comedic heist books. Please write a 500 word scene that has 70% 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 a map across the kitchen table. Bill leaned over it, scattering crumbs onto a crayon drawing of a smiling sun. “That’s not a security camera,” Molly said. “It’s the sun.” “I know. I was checking whether it could see us.” “The party starts at two. By three, the presents will be stacked beside the cake. We walk in, take every last one, and leave before anyone notices.” Bill studied the map. “How do we walk into a children’s party without looking suspicious?” “Disguises. I’m the entertainer. You’re my assistant.” “What kind of entertainer?” “A magician.” Bill sat back. “You once tried to pull a rabbit from a hat and produced your own elbow.” “The rabbit was late. Anyway, the children will be watching you while I collect the presents.” “What will I be doing?” “Clowning.” Bill went quiet. Outside, a siren wailed. He waited until it passed before speaking. “Molly, I have certain professional standards.” “Last Tuesday, you hid in a laundry basket.” “That was dignified laundry work. Clowning is different. There are trousers involved.” “I’ve already bought the trousers. They have pockets big enough for six action figures and a medium-sized pony.” Bill considered this. “Do I get a horn?” “Absolutely not.” “What if I use it only in emergencies?” “You once considered an empty biscuit tin an emergency.” “It was marked ‘biscuits.’ People were looking forward to those.” Molly pushed a photograph across the table. It showed a garden full of balloons, bunting, and a large inflatable castle. “The presents go into this sack,” she said, tapping the picture. “We tell everyone it’s part of the magic trick. Then we disappear.” “Won’t the birthday child object?” “Not if the birthday child is distracted.” Bill brightened. “I could make a balloon animal.” “Can you make balloon animals?” “No, but I can burst balloons in the shape of a man trying to make an animal. Children love physical comedy.” Molly opened her notebook and added a line. “Fine. You distract them. I load the sack. Then you shout, ‘Behold, the incredible vanishing presents!’ and we run.” “That sounds rather like announcing the crime.” “It sounds like showmanship. Nobody suspects a magician of actually making things disappear.” Bill peered at her notes. “What about the cake?” “We are not stealing the cake.” “I meant, can we have some? It would look odd if we refused.” “Fine. One slice each. After the presents are in the sack.” Bill nodded approvingly, then pointed at the photograph again. “Who’s the enormous fellow by the gate?” “Birthday girl’s father.” “He looks like he could bend a frying pan.” “He’s an accountant.” Bill squinted. “Perhaps he bends the frying pan to relax.” Molly folded the map. “We’ll be gone before he has time to do any accounting.” “And if the children catch us?” “We say it’s a game and make them chase us.” “With all their presents in the sack?” “Children love chasing things.” Bill stood and retrieved the clown trousers from their parcel. They unrolled across the floor and came to rest against the refrigerator. “All right,” he said. “But I’m taking the horn.” “Why?” “If I get caught, I want to sound surprised.”
created_at"2026-10-27T10:25:55.363Z" 10/27/2026, 10:25:55 AM
model"openai/gpt-6.1-terra-20261026"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency5097
moderation_latency(null)
generation_time14141
tokens_prompt75
tokens_completion911
native_tokens_prompt66
native_tokens_completion1051
native_tokens_completion_images0
native_tokens_reasoning341
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"completed"
service_tier"default"
usage0.005321
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.22.1; linux; x64))"
http_referer(null)
request_id"req-1793096755-2IscdZknsk6ar8nEMlDC"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1793096755-nhZ3QFPIJDI2enh7lfUo"
upstream_id"resp_07a35c4e3198fabb016ae07c337ca487d1a4b54be86478a8f2"
provider_responses
0
endpoint_id"2d2ad10f-098e-4bbf-aa95-11f705b2b9a2"
id"resp_07a35c4e3198fabb016ae07c337ca487d1a4b54be86478a8f2"
is_byokfalse
latency796
model_permaslug"openai/gpt-6.1-terra-20261026"
provider_name"OpenAI"
status200
total_cost0.005321
cache_discount(null)
upstream_inference_cost0
provider_name"OpenAI"
response_cache_source_id(null)
data_region"global"
workspace_id"97e315e5-d303-487d-83c1-83180e8a13d4"

Evaluation details

Result Evaluator Details Meta Data
0.01% Matches word count n/a
neededCleanfalse
words531
15.30% Dialogue to Total Word Ratio
Ratio: 76.13%, Deviation: 6.13%
neededCleanfalse
wordsTotal532
wordsDialogue405
7.6534%