Run: 2026-03-09-01KK9QQFCDJSBYPT3PWW0YETJS

Run Details

Duration:
28.0s
Cost:
$0.025335
Provider:
OpenAI

Evaluation summary

Score Evaluator
Details Link
100.00% Matches word count (details)
100.00% Dialogue to Total Word Ratio (details)
99.9997% Overall

Model input

User/Human
You are a author of comedic heist books. Please write a 200 word scene that has 10% 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 studied the suburban lawn as if it were a museum exhibit titled Balloon Animals Before Disaster. Paper streamers flapped from the fence, a pirate banner sagged over a folding table, and somewhere inside the garden a machine was producing bubbles with the confidence of organized crime. Bill crouched beside the hedge, wearing a blazer patterned with ducks, because he believed camouflage was mostly attitude. “Smile, grab bags, and leave before the clown starts juggling,” she said. “If anyone asks, we’re cousins with weak backs and loud opinions,” Bill replied. Molly pinched the bridge of her nose. Bill always made a plan sound like an unfortunate wedding. Through the gate, children shrieked around a treasure hunt, while parents balanced paper plates and discussed mortgage rates with the dead eyes of hostages. Near the patio, a mountain of wrapped presents gleamed like loot assembled by sentimental pirates. Bill adjusted his bow tie, which flashed tiny birthday cakes when it caught the sun. Molly sighed. It was a ridiculous job, in a ridiculous outfit, at a ridiculous hour, but the presents sat there, taunting them with ribbons. Then the gate swung open, and both thieves smiled with the sincerity of rental furniture.
created_at"2026-03-09T16:43:47.991Z" 3/9/2026, 4:43:47 PM
model"openai/gpt-5.4-20260305"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency27648
moderation_latency(null)
generation_time27745
tokens_prompt77
tokens_completion1234
native_tokens_prompt66
native_tokens_completion1678
native_tokens_completion_images0
native_tokens_reasoning1427
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"
usage0.025335
router(null)
provider_responses
0
endpoint_id"9ff5625c-403f-4d7f-b895-58ac7295062c"
id"resp_019b6dee889f3f000169aef8c4111c8197922af3b9308f7cc2"
is_byokfalse
latency204
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-1773074627-kqc6sljTrNTRwtOgWlvt"
upstream_id"resp_019b6dee889f3f000169aef8c4111c8197922af3b9308f7cc2"
total_cost0.025335
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: 10.50%, Deviation: 0.50%
neededCleanfalse
wordsTotal200
wordsDialogue21
99.9997%