Run: 2026-03-09-01KK9PYDEJ3W2FYMAMRZ7B46NV

Run Details

Duration:
46.6s
Cost:
$0.044850
Provider:
OpenAI

Evaluation summary

Score Evaluator
Details Link
100.00% Matches word count (details)
97.47% Dialogue to Total Word Ratio (details)
98.7362% 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
“Children’s parties are chaos with frosting. Nobody counts boxes when a clown is falling over.” “I hate clowns. They’re freelancers in makeup.” “Focus. We stroll in as entertainers.” “I can juggle anxiety and one orange.” “Perfect. I’ll do balloons.” “You can’t make a balloon dog.” “I can make a balloon disappointment. Parents love realism.” “What about the presents?” “We stack them by the door, call it a treasure hunt, then treasure leaves.” “That sounds illegal even by our standards.” “We’re thieves, Bill, not tax consultants.” “What if a child asks for a rabbit from my hat?” “Give them a lecture on supply chains.” “What if there’s a bouncy castle?” “Then we bounce with dignity.” “I have never bounced with dignity.” “You don’t need dignity. You need a smile and shoes that squeak.” “My shoes honk.” “Better. Memorable branding.” “And the cake?” “Untouched. We’re crooks, not savages.” Bill sighed. “I feel odd robbing a room full of tiny monarchs.” “Think of it as wealth redistribution from people too young to file complaints.” “Smile, Bill. Nothing disarms suspicion like confidence and a ridiculous tie.” From hallway came shrieking, music, and glitter. Bill adjusted tie. “If I’m arrested, tell them I’m a magician.”
created_at"2026-03-09T16:30:06.812Z" 3/9/2026, 4:30:06 PM
model"openai/gpt-5.4-20260305"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency43622
moderation_latency(null)
generation_time46488
tokens_prompt77
tokens_completion1166
native_tokens_prompt66
native_tokens_completion2979
native_tokens_completion_images0
native_tokens_reasoning2692
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"
usage0.04485
router(null)
provider_responses
0
endpoint_id"9ff5625c-403f-4d7f-b895-58ac7295062c"
id"resp_02e9166460ad4ab20169aef58ee5948193a7f4b61d92be67fb"
is_byokfalse
latency279
model_permaslug"openai/gpt-5.4-20260305"
provider_name"OpenAI"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.0; linux; x64))"
http_referer(null)
api_type"completions"
id"gen-1773073806-idwjJJht9g7P6XdgA5nT"
upstream_id"resp_02e9166460ad4ab20169aef58ee5948193a7f4b61d92be67fb"
total_cost0.04485
cache_discount(null)
upstream_inference_cost0
provider_name"OpenAI"

Evaluation details

Result Evaluator Details Meta Data
100.00% Matches word count n/a
neededCleanfalse
words200
97.47% Dialogue to Total Word Ratio
Ratio: 94.00%, Deviation: 4.00%
neededCleanfalse
wordsTotal200
wordsDialogue188
98.7362%