Run: 2026-03-06-01KK1GHTS9523YE42BZVJJ0C9E

Run Details

Model:
GPT-5.4
Duration:
8.0s
Cost:
$0.004725
Provider:
OpenAI

Evaluation summary

Score Evaluator
Details Link
75.16% Matches word count (details)
36.79% Dialogue to Total Word Ratio (details)
55.9718% 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
“Bill, tell me again why we’re robbing a children’s party.” “Because, Molly, rich parents buy expensive toys, and expensive toys are merely jewels with batteries.” “That is the worst philosophy I’ve ever heard, and I once dated a man who believed soup was a beverage.” “Focus. Balloons at noon, cake at one, screaming by one-ten. We go in during the magician.” “The magician?” “No one watches the gift table when a man pulls a pigeon out of his sleeve.” “What if the pigeon watches us?” “Then we bribe it with a sausage roll.” “Bill, children are sharp. Tiny, sticky detectives.” “Exactly why we wear disguises.” “I’m not dressing as a clown. If they catch me in face paint, I’ll throw myself to the authorities.” “Not clowns. Parents. The perfect camouflage: exhausted, underdressed, carrying coffee.” “I can do exhausted. I was born exhausted.” “You’ll drift by the presents, I’ll create a diversion near the bouncy castle.” “How big a diversion?” “Large enough that every mother says, ‘Oh my God, Bill.’” “That usually means fire.” “Only a little.” “And the escape?” “Through the garden gate with the loot in a stroller.” “A stroller?” “No one questions a stroller.” “What if there’s an actual baby in it?” “Then we abort.” “The job?” “No, Molly. The baby.”
created_at"2026-03-06T12:04:27.571Z" 3/6/2026, 12:04:27 PM
model"openai/gpt-5.4-20260305"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency482
moderation_latency(null)
generation_time7911
tokens_prompt77
tokens_completion406
native_tokens_prompt66
native_tokens_completion304
native_tokens_completion_images0
native_tokens_reasoning0
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"
usage0.004725
router(null)
provider_responses
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endpoint_id"9ff5625c-403f-4d7f-b895-58ac7295062c"
id"resp_04e2722521df21ef0169aac2cba3288193a09f4079fe30c4ee"
is_byokfalse
latency165
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-1772798667-TsalKEa3Y1g2O3wdQk0Z"
upstream_id"resp_04e2722521df21ef0169aac2cba3288193a09f4079fe30c4ee"
total_cost0.004725
cache_discount(null)
upstream_inference_cost0
provider_name"OpenAI"

Evaluation details

Result Evaluator Details Meta Data
75.16% Matches word count n/a
neededCleanfalse
words213
36.79% Dialogue to Total Word Ratio
Ratio: 100.00%, Deviation: 10.00%
neededCleanfalse
wordsTotal214
wordsDialogue214
55.9718%