Run: 2026-04-24-01KQ0N1YH65H9Y0MSGXWSXXN05

Run Details

Model:
GPT-5.5
Duration:
10.1s
Cost:
$0.008940
Provider:
OpenAI

Evaluation summary

Score Evaluator
Details Link
86.38% Matches word count (details)
100.00% Dialogue to Total Word Ratio (details)
93.1902% Overall

Model input

User/Human
You are a author of comedic heist books. Please write a 200 word scene that has 10% 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 unfolded the crayon-drawn map across the bonnet of their van, which was parked three streets from the community hall and disguised, badly, as a mobile petting zoo. A papier-mâché goat stared through the windshield with the haunted expression of someone who knew too much. Bill adjusted his clown wig in the side mirror, then sneezed glitter into his sleeve. “Back door, cake table, presents.” “Kids first?” “Distract, don’t frighten.” “Balloon animals?” “You know one balloon snake.” “A classic.” Inside the hall, shrieks of sugar-fueled delight bounced off the windows. Molly tapped the map where a lopsided rectangle represented the present mountain. It was, according to her intelligence, mostly educational puzzles, noisy robots, and at least one suspiciously large box shaped like a bicycle. Their plan was elegant in the way a shopping trolley with one broken wheel was elegant. Bill would enter as Professor Boingo, emergency entertainer. Molly would roll in the “petting zoo,” release three rented rabbits, and exploit the chaos. The presents would be transferred into feed sacks labeled TURNIPS. Bill practiced a bow and stepped on his own shoe. Molly sighed, checked her stopwatch, and handed him a squeaky horn. At precisely two o’clock, the birthday magician was late, the cake collapsed, and crime wore polka dots.
created_at"2026-04-24T21:06:42.862Z" 4/24/2026, 9:06:42 PM
model"openai/gpt-5.5-20260423"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency704
moderation_latency(null)
generation_time9996
tokens_prompt77
tokens_completion366
native_tokens_prompt66
native_tokens_completion287
native_tokens_completion_images0
native_tokens_reasoning0
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"
usage0.00894
router(null)
provider_responses
0
endpoint_id"58e5b336-423e-430b-a2ab-8bc353f0c51b"
id"resp_0bc324d2cbd107c60169ebdb62f1e08194a51e494a11721602"
is_byokfalse
latency325
model_permaslug"openai/gpt-5.5-20260423"
provider_name"OpenAI"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer(null)
request_id"req-1777064802-2aG0FOOUrcwBn3pH0LR1"
session_id(null)
api_type"completions"
id"gen-1777064802-HRonbES23BjmtaY926OY"
upstream_id"resp_0bc324d2cbd107c60169ebdb62f1e08194a51e494a11721602"
total_cost0.00894
cache_discount(null)
upstream_inference_cost0
provider_name"OpenAI"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
86.38% Matches word count n/a
neededCleanfalse
words211
100.00% Dialogue to Total Word Ratio
Ratio: 9.81%, Deviation: 0.19%
neededCleanfalse
wordsTotal214
wordsDialogue21
93.1902%