Run: 2026-03-18-01KM08ZB83DWVJBRFAAVB0ADTQ

Run Details

Duration:
18.8s
Cost:
$0.003604
Provider:
OpenAI

Evaluation summary

Score Evaluator
Details Link
99.98% Matches word count (details)
36.79% Dialogue to Total Word Ratio (details)
68.3860% 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, the party guards are just toddlers." "Bill, toddlers have the best security clearance: snack crumbs." "Quiet. Listen—what’s that?" "The cupcake cannon. It goes off when someone yells 'Happy Birthday!'" "Perfect. We strike during the chorus." "I brought a decoy gift bag: it’s full of glittery socks." "Glitter? That’s basically a tracking beacon." "Only for us. The parents will slip, admire the mess, and forget to count." "Do we have the entrance code?" "Yes: 'We’re here for the science show!'" "And if they ask our names?" "We'll say 'Captain Present' and 'Doctor Wrapper.' Sounds official." "Where’s the real stash?" "Under the table, between the cake and the suspiciously fancy wagon." "Any alarms?" "Nope. The only siren is a bubble machine." "Then we use bubbles as camouflage." "Exactly. You pick the loudest present." "Because it’s heavier?" "Because it makes the kid squeal, and the squeal draws eyes away from our hands." "Okay. When do we leave?" "After the piñata. Everyone’s busy hugging sugar violence." "Bill?" "Yeah?" "Steal the tiny pony?" "Steal it. But we must return the horsey bubble bath." "Morals!" "Morals." "Take the big box; I’ll handle wrap speedruns." "Deal—undercover gift mimes. If questioned, we perform interpretive ribbon!" "Very quietly."
created_at"2026-03-18T10:48:29.2Z" 3/18/2026, 10:48:29 AM
model"openai/gpt-5.4-nano-20260317"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency18271
moderation_latency(null)
generation_time18583
tokens_prompt77
tokens_completion1102
native_tokens_prompt66
native_tokens_completion2873
native_tokens_completion_images0
native_tokens_reasoning2542
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"
usage0.00360445
router(null)
provider_responses
0
endpoint_id"0c835f2e-c18d-4e8c-b245-e1e3bd08b97f"
id"resp_0eafd89f4e8867e60169ba82fd431481979f3f51700644936d"
is_byokfalse
latency194
model_permaslug"openai/gpt-5.4-nano-20260317"
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-1773830909-copIfE6zc4zMyVwE5oZ2"
upstream_id"resp_0eafd89f4e8867e60169ba82fd431481979f3f51700644936d"
total_cost0.00360445
cache_discount(null)
upstream_inference_cost0
provider_name"OpenAI"

Evaluation details

Result Evaluator Details Meta Data
99.98% Matches word count n/a
neededCleanfalse
words202
36.79% Dialogue to Total Word Ratio
Ratio: 100.00%, Deviation: 10.00%
neededCleanfalse
wordsTotal202
wordsDialogue202
68.3860%