Run: 2026-03-18-01KM08VSFAT8FXR009HJ0XPSYA

Run Details

Duration:
2.9s
Cost:
$0.001607
Provider:
OpenAI

Evaluation summary

Score Evaluator
Details Link
99.92% Matches word count (details)
0.00% Dialogue to Total Word Ratio (details)
49.9595% 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 crouched behind the bakery van, peering at the gaudy banner stretched across the garden gate: HAPPY BIRTHDAY, TOMMY. Balloons bobbed in the evening breeze like colored spies. Inside, children shrieked with frosting-smeared joy while the presents piled beneath the picnic table shimmered in wrapping paper and ribbon. Bill adjusted his tie, which was fake, like most of his confidence. “Are we really doing this?” he whispered. Molly grinned. “We’re professionals.” “Professionals don’t target six-year-olds.” “They do if the loot is alphabet blocks, model rockets, and a remote-control triceratops.” Bill swallowed. “That triceratops looked expensive.” A clown stumbled past them, juggling oranges and failing upward into applause. Molly held up a silver key ring. “Kitchen entrance is clear. We take the cake box as camouflage, stroll in, and swap the gifts for the empty crate.” “And if anyone asks?” “Smile like caterers. Panic later.” Bill nodded, though his knees had begun a separate plan. “I hate how elegant this is.” From inside came a chorus of singing, followed by the dramatic tearing of paper. Molly glanced at the mountain of presents and sighed. “By midnight,” she said, “that entire room belongs to us.” Bill squared his shoulders. “Then let’s rob childhood with style.”
created_at"2026-03-18T10:46:32.694Z" 3/18/2026, 10:46:32 AM
model"openai/gpt-5.4-mini-20260317"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency2443
moderation_latency(null)
generation_time2641
tokens_prompt77
tokens_completion475
native_tokens_prompt66
native_tokens_completion346
native_tokens_completion_images0
native_tokens_reasoning55
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"
usage0.0016065
router(null)
provider_responses
0
endpoint_id"9ee065b2-3d1c-43bc-bdd7-28af3b148282"
id"resp_00f8350c7a65f31b0169ba8288c5c48190a598b9372296c0f6"
is_byokfalse
latency223
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-1773830792-IhSmUDnlRbKTWjV6lDKr"
upstream_id"resp_00f8350c7a65f31b0169ba8288c5c48190a598b9372296c0f6"
total_cost0.0016065
cache_discount(null)
upstream_inference_cost0
provider_name"OpenAI"

Evaluation details

Result Evaluator Details Meta Data
99.92% Matches word count n/a
neededCleanfalse
words203
0.00% Dialogue to Total Word Ratio
Ratio: 39.61%, Deviation: 29.61%
neededCleanfalse
wordsTotal207
wordsDialogue82
49.9595%