Run: 2026-04-24-01KQ09VNRW1HWSV6WAEFM5YNJT

Run Details

Duration:
12.8s
Cost:
$0.001347
Provider:
Nebius

Evaluation summary

Score Evaluator
Details Link
100.00% Matches word count (details)
88.44% Dialogue to Total Word Ratio (details)
94.2190% 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
The dusty attic echoed with muffled giggles as Molly unfurled a crumpled map of the party venue for the loot. Molly: "We hit the kid zone at midnight, when the clown's nap time overlaps the cake frosting." Bill: "Midnight? The party ends at eleven; that's a two‑hour window for nap‑time mayhem." Molly: "Exactly, the parents will be snoozing, the kids will be asleep, and the candy will be unguarded." Bill: "What about the balloon arch? It could trigger the motion sensor." Molly: "I'll bring the anti‑balloon deflater; a tiny pinprick and poof—no more floating alarms." Bill: "And the gift table? It's a fortress of wrapping paper." Molly: "I've got a heat gun to melt tape without ripping the boxes, perfect for a silent swap." Bill: "Do we need disguises? I can dress as a giant dinosaur, it scares kids and gives us cover." Molly: "A dinosaur is cliché; I prefer a giant inflatable unicorn, double‑rainbow effect distracts the security cameras." Bill: "What about the toy robot that patrols the hall? It's programmed to squeal at intruders." Molly: "We'll jam its firmware with a homemade EMP; a forty‑second blackout and it's a tin can." Bill: "How many presents are we talking?"
created_at"2026-04-24T17:51:02.954Z" 4/24/2026, 5:51:02 PM
model"openai/gpt-oss-120b"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency266
moderation_latency(null)
generation_time12159
tokens_prompt77
tokens_completion2176
native_tokens_prompt125
native_tokens_completion2214
native_tokens_completion_images(null)
native_tokens_reasoning1859
native_tokens_cached0
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
num_fetches(null)
web_search_engine(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"stop"
usage0.00134715
router(null)
provider_responses
0
endpoint_id"de9b9344-2116-44ea-b30a-fd9ec94b1157"
id"chatcmpl-9cbd5afbe1f6933f"
is_byokfalse
latency265
model_permaslug"openai/gpt-oss-120b"
provider_name"Nebius"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer(null)
request_id"req-1777053062-w2LfCs76AHqHaId0e4F6"
session_id(null)
api_type"completions"
id"gen-1777053062-7DTXdRhmLs2ci1ltXYWb"
upstream_id"chatcmpl-9cbd5afbe1f6933f"
total_cost0.00134715
cache_discount(null)
upstream_inference_cost0
provider_name"Nebius"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
100.00% Matches word count n/a
neededCleanfalse
words201
88.44% Dialogue to Total Word Ratio
Ratio: 84.08%, Deviation: 5.92%
neededCleanfalse
wordsTotal201
wordsDialogue169
94.2190%