Run: 2026-04-24-01KQ0NQ2RGHKFNA8NMHMNZ6DPH

Run Details

Model:
GPT-5.5
Duration:
7.5s
Cost:
$0.008160
Provider:
OpenAI

Evaluation summary

Score Evaluator
Details Link
99.38% Matches word count (details)
91.94% Dialogue to Total Word Ratio (details)
95.6570% 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 crouched behind the hydrangeas, wearing a caterpillar costume that smelled faintly of attic and regret. Across the street, the Henderson house glowed with balloons, streamers, and the unmistakable shriek of sugared children. Bill unfolded a blueprint he had drawn on the back of a pizza menu, then held it upside down with professional confidence. Inside, a magician produced scarves from his sleeve while parents applauded with the dead eyes of the defeated. Near the fireplace, a mountain of presents shimmered in dinosaur paper and smug ribbons. “Cake first, loot second,” Molly whispered. Bill nodded gravely. “No, presents first. Cake distracts.” A golden retriever in a party hat spotted them and began wagging like a security alarm made of joy. Molly tossed it a sausage roll. The dog accepted the bribe and joined their criminal enterprise. Their plan was simple: enter as entertainers, perform one balloon animal, create confusion, evacuate gifts in a laundry cart labeled Extremely Boring Towels. Unfortunately, Bill’s balloon animal was a sword, his only trick, and the birthday boy immediately challenged him to a duel. Molly sighed, adjusted her antennae, and rolled the cart toward destiny, frosting, and probable community service.
created_at"2026-04-24T21:18:15.319Z" 4/24/2026, 9:18:15 PM
model"openai/gpt-5.5-20260423"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency744
moderation_latency(null)
generation_time7402
tokens_prompt77
tokens_completion328
native_tokens_prompt66
native_tokens_completion261
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"
usage0.00816
router(null)
provider_responses
0
endpoint_id"58e5b336-423e-430b-a2ab-8bc353f0c51b"
id"resp_07e1274f95df6b330169ebde176ac88194af5d85e6fc45c544"
is_byokfalse
latency413
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-1777065495-HTjd7l8YjtqsUWpVrEHl"
session_id(null)
api_type"completions"
id"gen-1777065495-ys5VfEEQ3DZCMUdfdONv"
upstream_id"resp_07e1274f95df6b330169ebde176ac88194af5d85e6fc45c544"
total_cost0.00816
cache_discount(null)
upstream_inference_cost0
provider_name"OpenAI"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
99.38% Matches word count n/a
neededCleanfalse
words195
91.94% Dialogue to Total Word Ratio
Ratio: 4.62%, Deviation: 5.38%
neededCleanfalse
wordsTotal195
wordsDialogue9
95.6570%