Run: 2026-03-18-01KM099D4TWKG1NJ7M5K1H0WWK

Run Details

Duration:
28.6s
Cost:
$0.007637
Provider:
OpenAI

Evaluation summary

Score Evaluator
Details Link
100.00% Matches word count (details)
100.00% Dialogue to Total Word Ratio (details)
100.0000% Overall

Model input

User/Human
You are a author of comedic heist books. Please write a 200 word scene that has 50% 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
Outside the house, Molly used the hedge as a runway, leaving mint crumbs. Bill followed, dragging a toolbox that rattled like coins in a sock. Inside the living room, lights flashed over frosting and a mountain of presents. Molly checked her stolen badge: BIRTHDAY POLICE, glitter font. Bill rolled his shoulders and aimed a glow-stick at the side door sensor. It blinked, then went green, as if the house approved. They slid through the opening and crouched by the gift table. The bows looked hungry, and Bill’s hands twitched toward crime. A timer in the hall hummed, counting down panic. "Bill, we only take presents, not toys already hugged." "Relax, I’ll lift gently; I’m basically a librarian for thieves." "If a kid asks questions, you answer with more questions." "I can do that; I’m great at interrogating balloons." "Bag duty for you, hat duty for me, okay?" "My hat is ready; it screams 'totally innocent' loudly." "Which presents first, the big dinosaur or the tiny trains?" "Start with dinosaurs; they distract adults with their roar." "When the timer hits seven, we sprint like birthday confetti." "And if we’re caught, we blame the cake committee!" "Now pick, before squeaky-dog patrols again."
created_at"2026-03-18T10:53:58.823Z" 3/18/2026, 10:53:58 AM
model"openai/gpt-5.4-nano-20260317"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency28130
moderation_latency(null)
generation_time28437
tokens_prompt77
tokens_completion1132
native_tokens_prompt66
native_tokens_completion6099
native_tokens_completion_images0
native_tokens_reasoning5809
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"
usage0.00763695
router(null)
provider_responses
0
endpoint_id"0c835f2e-c18d-4e8c-b245-e1e3bd08b97f"
id"resp_0bf20d8358480dba0169ba8446dfc88190b25d706a55a597bd"
is_byokfalse
latency190
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-1773831238-CpIwERoFCfY2Bl3hzZ4S"
upstream_id"resp_0bf20d8358480dba0169ba8446dfc88190b25d706a55a597bd"
total_cost0.00763695
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
100.00% Dialogue to Total Word Ratio
Ratio: 50.00%, Deviation: 0.00%
neededCleanfalse
wordsTotal202
wordsDialogue101
100.0000%