Run: 2026-03-18-01KM095D2TS5D9MT07927KCN5B

Run Details

Duration:
13.0s
Cost:
$0.002883
Provider:
OpenAI

Evaluation summary

Score Evaluator
Details Link
99.98% Matches word count (details)
0.00% Dialogue to Total Word Ratio (details)
49.9920% 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: Bill, tonight we rob a children’s party. Bill: I brought the tiny crowbar, for tiny trouble. Molly: No crowbar. Sympathy face and steal with style. Bill: I practiced the sympathy face with tears and glitter. Molly: Good. Hide behind the dinosaur balloons. Bill: Which dinosaur ones—the squeaky or the squeaky with teeth? Molly: The squeaky with teeth. The DJ’s on “Baby Shark,” so nobody looks. Bill: I can steal presents while doing the floss, right? Molly: Just don’t floss on the cake. Frost is expensive and judgmental. Bill: Fine. What’s our entry point? Molly: The gift-wrapping table. Everyone assumes it’s magical. Bill: I’m terrifying with my sleeves and my mysterious snacks. Molly: We take only presents. Leave the germs, leave the cupcakes. Bill: The cupcakes are screaming. Molly: Ignore the cupcakes. On my signal, we swap name tags and walk out as “Gift Ambassadors.” Bill: If a kid asks, we say we’re delivering extra surprises. Molly: Shh—birthday boy’s staring at our shoes. Bill: My shoes are innocent! Mostly. Molly: If security asks, nod slowly and offer balloons. Bill: I can juggle keys. Molly: No, just hold the sack like you’re late for gift wrapping and smile, the cheap kind.
created_at"2026-03-18T10:51:47.688Z" 3/18/2026, 10:51:47 AM
model"openai/gpt-5.4-nano-20260317"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency11874
moderation_latency(null)
generation_time12327
tokens_prompt77
tokens_completion959
native_tokens_prompt66
native_tokens_completion2296
native_tokens_completion_images0
native_tokens_reasoning1975
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"
usage0.0028832
router(null)
provider_responses
0
endpoint_id"0c835f2e-c18d-4e8c-b245-e1e3bd08b97f"
id"resp_006926f929d1230c0169ba83c3c4c88193b3147e73eb9bcc6b"
is_byokfalse
latency227
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-1773831107-YwLD3SfMCNwJlkcKALha"
upstream_id"resp_006926f929d1230c0169ba83c3c4c88193b3147e73eb9bcc6b"
total_cost0.0028832
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
0.00% Dialogue to Total Word Ratio
Ratio: 1.97%, Deviation: 88.03%
neededCleanfalse
wordsTotal203
wordsDialogue4
49.9920%