Run: 2026-04-24-01KQ0NQ4DPXAYW476E2XVRVXAS

Run Details

Duration:
18.9s
Cost:
$0.040470
Provider:
OpenAI

Evaluation summary

Score Evaluator
Details Link
100.00% Matches word count (details)
99.87% Dialogue to Total Word Ratio (details)
99.9374% Overall

Model input

User/Human
You are a author of comedic heist books. Please write a 200 word scene that has 90% 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 pressed her ear to the bakery window. "Hear that, Bill? Thirty children, one magician, and a mountain of presents." Bill adjusted his fake mustache. "I hate this plan." "You loved it when I said 'mountain.'" "I pictured jewels, not teddy bears wearing bows." "Presents are presents." "They're for children." "Children are terrible witnesses. They describe everyone as 'tall' or 'smelled like cake.'" "Molly." "What?" "We are not stealing from a seven-year-old named Poppy." "Fine. We'll only steal from the magician." "The magician brought a rabbit." "Then the rabbit." "The rabbit has nothing." "It has mystery." Bill sighed. "What if we infiltrate, eat cake, and leave?" "That's not a heist. That's Tuesday." "Tuesday with sprinkles." Molly considered. "What if we steal all the presents, wrap them better, and return them dramatically?" "That's community service with jazz hands." "We could claim to be the Present Inspectors." "Children believe anything said with a clipboard." "Exactly." "And if they ask for badges?" "We say the badges are invisible." Bill peered inside. "Poppy is opening a pirate ship." Molly softened. "Does it have cannons?" "Foam ones." "Curse it. New plan." "We surrender?" "We become balloon pirates and guard the loot." "Aye, captain," Bill said.
created_at"2026-04-24T21:18:17.032Z" 4/24/2026, 9:18:17 PM
model"openai/gpt-5.5-20260423"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency16509
moderation_latency(null)
generation_time18773
tokens_prompt77
tokens_completion344
native_tokens_prompt66
native_tokens_completion1338
native_tokens_completion_images0
native_tokens_reasoning1034
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"
usage0.04047
router(null)
provider_responses
0
endpoint_id"58e5b336-423e-430b-a2ab-8bc353f0c51b"
id"resp_08975b697cb32f410169ebde191eb8819591516c87b44daf35"
is_byokfalse
latency271
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-1777065497-TdRMbd7xhXkpuuD0sTj4"
session_id(null)
api_type"completions"
id"gen-1777065497-63YRDHHpfwbkDIkbKOBi"
upstream_id"resp_08975b697cb32f410169ebde191eb8819591516c87b44daf35"
total_cost0.04047
cache_discount(null)
upstream_inference_cost0
provider_name"OpenAI"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
100.00% Matches word count n/a
neededCleanfalse
words200
99.87% Dialogue to Total Word Ratio
Ratio: 88.12%, Deviation: 1.88%
neededCleanfalse
wordsTotal202
wordsDialogue178
99.9374%