Run: 2026-03-18-01KM07Z17XK0Z1549BZ92J0VP2

Run Details

Duration:
16.1s
Cost:
$0.001827
Provider:
OpenAI

Evaluation summary

Score Evaluator
Details Link
99.92% Matches word count (details)
100.00% Dialogue to Total Word Ratio (details)
99.9576% 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, whisper: “No alarms. We’re here for presents, not karma.” Bill: “Great, because my karma’s on vacation.” Molly: “Shh—those party favors are louder than your shoes.” Bill: “My shoes are innocent. They just want to be invited.” Molly: “Plan A: slide through the door while the clown says ‘Ta-da!’ Plan B: borrow the piñata’s rope as a grappling line.” Bill: “Do we need the grappling line if we walk in like two extremely underdressed uncles?” Molly: “Only if you can stop the squeaky propeller keychain.” Bill: “It’s not propeller—it’s morale.” Molly: “Morale doesn’t squeak.” Bill: “It does when you’re nervous.” Molly: “I’m not nervous. I’m… professionally excited.” Bill: “Your eyebrows are sprinting.” Molly: “Focus. We steal every present, even the weird ones labeled ‘from Grandma.’” Bill: “What if Grandma made those time-travel socks again?” Molly: “Then we steal them and pretend we never met.” Bill: “Okay, but how do we open the gift pile without looking like we’re stealing it?” Molly: “We simply admire it aggressively. Kids love aggression.” Bill: “Kids love us?” Molly: “Only if we look like Santa’s accountants.” Bill: “I can do accountant.” Molly: “Perfect. On my count—three… two… one. Go, Bill—try not to squeak this time.”
created_at"2026-03-18T10:30:50.379Z" 3/18/2026, 10:30:50 AM
model"openai/gpt-5.4-nano-20260317"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency15519
moderation_latency(null)
generation_time15887
tokens_prompt77
tokens_completion958
native_tokens_prompt66
native_tokens_completion1451
native_tokens_completion_images0
native_tokens_reasoning1122
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"
usage0.00182695
router(null)
provider_responses
0
endpoint_id"0c835f2e-c18d-4e8c-b245-e1e3bd08b97f"
id"resp_0e27c6aee6ba6b290169ba7eda784c8190bd5b798b38c4dae5"
is_byokfalse
latency207
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-1773829850-w65gDFyxVDN1iGI8qfUw"
upstream_id"resp_0e27c6aee6ba6b290169ba7eda784c8190bd5b798b38c4dae5"
total_cost0.00182695
cache_discount(null)
upstream_inference_cost0
provider_name"OpenAI"

Evaluation details

Result Evaluator Details Meta Data
99.92% Matches word count n/a
neededCleanfalse
words203
100.00% Dialogue to Total Word Ratio
Ratio: 89.22%, Deviation: 0.78%
neededCleanfalse
wordsTotal204
wordsDialogue182
99.9576%