Run: 2026-03-09-01KKACCZ42C1XPQ0MNSP8F4TE9

Run Details

Duration:
36.4s
Cost:
$0.038235
Provider:
OpenAI

Evaluation summary

Score Evaluator
Details Link
100.00% Matches word count (details)
51.81% Dialogue to Total Word Ratio (details)
75.9059% 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, this is low even for us.” “Bill, it’s not low; it’s efficient. Children can’t fence their presents.” “They can cry, though. Loudly.” “Which is why we arrive during cake. Frosting muffles outrage.” “What are we stealing?” “Everything with batteries, ribbons, or resale value.” “At a children’s party?” “Affluent parents panic-buy. Last year I saw a pony folded into a bag.” “You’re lying.” “I’m marketing the opportunity.” “What about disguises?” “Magicians. No one questions a top hat near balloons.” “I hate balloons. They squeak like guilty shoes.” “Then clown noses.” “I’d rather go to prison honestly.” “Fine. Caterers.” “Can you carry a tray without eating the evidence?” “Can you stop jingling when you’re nervous?” “That’s my lockpick set.” “Sounds like Santa developing a drinking problem.” “Timing?” “We enter at three, mingle by the bouncy castle, lift the loot during ‘Pass the Parcel,’ and vanish before the piñata.” “What if there’s a dog?” “We bribe it with sausage rolls.” “What if there are twins?” “Why would twins matter?” “Twins notice things. It’s their sport.” Molly sighed. “Bill, focus.” “I’m focused. Focused on ‘crime adjacent to a face painter.’” “Think bigger.” “Than stealing from children?” “Bill, we’re stealing from parents with receipts.”
created_at"2026-03-09T22:45:03.756Z" 3/9/2026, 10:45:03 PM
model"openai/gpt-5.4-20260305"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency35351
moderation_latency(null)
generation_time36181
tokens_prompt77
tokens_completion726
native_tokens_prompt66
native_tokens_completion2538
native_tokens_completion_images0
native_tokens_reasoning2227
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"
usage0.038235
router(null)
provider_responses
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endpoint_id"9ff5625c-403f-4d7f-b895-58ac7295062c"
id"resp_0c5975ed84d3f5110169af4d6fd7988197a5cca93aa41657c1"
is_byokfalse
latency211
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-1773096303-RqTAjXH84uqhlVScf8In"
upstream_id"resp_0c5975ed84d3f5110169af4d6fd7988197a5cca93aa41657c1"
total_cost0.038235
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
51.81% Dialogue to Total Word Ratio
Ratio: 99.00%, Deviation: 9.00%
neededCleanfalse
wordsTotal201
wordsDialogue199
75.9059%