Run: 2026-02-16-01KHK9PA0Z5Y0WKE8EE7722QN2

Run Details

Duration:
1m 48s
Cost:
$0.038812
Provider:
OpenAI

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
"Bill, you brought a spreadsheet to a birthday party?" "Molly, crime without columns is just chaos." "We're not stealing chaos; we're liberating wrapping paper." "And the mysterious boxes within, which we will ethically relocate." "Ethically? To our apartment?" "Think of it as a foster home for neglected toys." "The toys are currently loved." "Yes, but inefficiently loved; we can optimize the affection supply chain." "So what's the plan that doesn't end with frosting in my hair?" "We blend in, harness the ancient art of 'yay,' and migrate presents into this nondescript sack." "That's a unicorn backpack." "Exactly, aggressively descript." "What about cake guardians and balloon bouncers?" "We deploy diversion: I perform my acclaimed invisible magic show." "You stand still and claim things vanished." "It killed at my cousin's thanksgiving. The turkey never recovered." "Meanwhile, I what, juggle excuses?" "Yes. Say you're the Gift Auditor. Stamp things. People love stamps." "I have a potato." "Even better. Rustic credibility." "And when someone asks whose party we're here for?" "Easy: we cheer 'All of them!' Inclusivity confuses authority." "I can't believe I'm doing this in squeaky shoes." "Confidence squeaks, Molly." "And if a kid cries?" "We cry harder. Out-sad them. Works every time."
created_at"2026-02-16T13:21:18.289884+00:00" 2/16/2026, 1:21:18 PM
model"openai/gpt-5-2025-08-07"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency9126
moderation_latency(null)
generation_time107410
tokens_prompt77
tokens_completion1113
native_tokens_prompt66
native_tokens_completion3873
native_tokens_completion_images0
native_tokens_reasoning3584
native_tokens_cached0
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"completed"
usage0.0388125
router(null)
provider_responses
0
id"resp_02fa25d3d2f589ec01699319628e108197b071f984be726a57"
status200
is_byokfalse
latency284
endpoint_id"7c2f859a-7890-4e8e-b1de-1cd1c0a800b4"
provider_name"OpenAI"
model_permaslug"openai/gpt-5-2025-08-07"
api_type"completions"
id"gen-1771247970-OGv8NmIY6fNvTLriTYoj"
upstream_id"resp_02fa25d3d2f589ec01699319628e108197b071f984be726a57"
total_cost0.0388125
cache_discount(null)
upstream_inference_cost0
provider_name"OpenAI"

Evaluation details

Result Evaluator Details Meta Data
99.9990% Matches word count n/a
neededCleanfalse
words201
36.7879% Dialogue to Total Word Ratio
Ratio: 100.00%, Deviation: 10.00%
neededCleanfalse
wordsTotal201
wordsDialogue201
68.3935%