Run: 2026-03-18-01KM0944KPEV21FH7XP5KECD28

Run Details

Duration:
2.8s
Cost:
$0.001786
Provider:
OpenAI

Evaluation summary

Score Evaluator
Details Link
60.28% Matches word count (details)
76.33% Dialogue to Total Word Ratio (details)
68.3016% 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, tell me again why the target is a children’s party,” Bill whispered, tugging at his gloves. “Because, Bill, every child in the neighborhood will be busy doing the Macarena, eating frosting, and screaming at a clown.” “Comforting.” “And because presents are portable.” “Morally, this is a low point for us.” “Bill, we are thieves. Our moral compass is a decorative item.” “You say that like it helps.” “It does. Less guilt, more stealing.” “Before I agree to anything, I need to know the plan.” “The plan is simple.” “Oh, good. I hate those.” “We stroll in, blend in, admire the balloons, and wait for the gift mountain to become emotionally vulnerable.” “‘Emotionally vulnerable’?” “Yes. Then we scoop up the presents and vanish like responsible adults avoiding a dentist appointment.” “Do we have disguises?” “Of course.” “Please tell me you didn’t buy clown noses again.” “I bought subtle clown noses.” “That’s not a thing.” “It is if you believe in yourself.” “Who are we supposed to be?” “Uncle Bill and Aunt Molly, relatives no one trusts but everyone feeds.” “I do have the face for it.” “You have the face for crime, Bill.” “That’s the nicest thing anyone’s ever said to me.” “Stop blushing and pass me the fake mustache. We’re making history, preferably quietly.”
created_at"2026-03-18T10:51:06.243Z" 3/18/2026, 10:51:06 AM
model"openai/gpt-5.4-mini-20260317"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1354
moderation_latency(null)
generation_time2696
tokens_prompt77
tokens_completion409
native_tokens_prompt66
native_tokens_completion386
native_tokens_completion_images0
native_tokens_reasoning86
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"
usage0.0017865
router(null)
provider_responses
0
endpoint_id"9ee065b2-3d1c-43bc-bdd7-28af3b148282"
id"resp_0f911b4356e571620169ba839a4dac81939579e0d5f7497dd6"
is_byokfalse
latency216
model_permaslug"openai/gpt-5.4-mini-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-1773831066-cy0f2FdcmPKBcVr8Ukxd"
upstream_id"resp_0f911b4356e571620169ba839a4dac81939579e0d5f7497dd6"
total_cost0.0017865
cache_discount(null)
upstream_inference_cost0
provider_name"OpenAI"

Evaluation details

Result Evaluator Details Meta Data
60.28% Matches word count n/a
neededCleanfalse
words215
76.33% Dialogue to Total Word Ratio
Ratio: 97.21%, Deviation: 7.21%
neededCleanfalse
wordsTotal215
wordsDialogue209
68.3016%