Run: 2026-04-24-01KQ05EJYM8TVJ8GWVANFV0X3Z

Run Details

Duration:
6m 47s
Cost:
$0.001378
Provider:
SiliconFlow

Evaluation summary

Score Evaluator
Details Link
100.00% Matches word count (details)
100.00% Dialogue to Total Word Ratio (details)
100.0000% 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
Moonlight draped the suburban cul‑de‑sac like a cheap silk sheet, and the faint clatter of inflatable balloons drifted from the backyard. Molly crouched behind the hedge, her black gloves dusted with a faint glitter that matched the party décor. Bill lingered near the side gate, tapping his foot to a silent rhythm while checking the layout on his phone. She whispered, “Gift table by cake, three meters from the exit.” He replied, “We hit cake first, then presents, no time for any kids.” Their plan unfolded in whispered gestures: a silent nod, a quick glance at the sleeping guard dog, a measured breath. Molly adjusted the strap of her sack, feeling the weight of imagined toys and candy. Bill slipped a rope over the fence, testing its strength against the wind. The house glowed with twinkling lights, each window a promise of unattended merchandise. They moved like shadows, confident that the party’s chaos would mask their heist. In the distance, a child’s giggle floated up, a reminder that the operation was both audacious and absurd. They vanished into the night, the sack rustling, confident that sunrise would reveal puzzled parents and vacant tables, a perfect caper to brag about later.
created_at"2026-04-24T16:33:59.819Z" 4/24/2026, 4:33:59 PM
model"openai/gpt-oss-120b"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency4084
moderation_latency(null)
generation_time406620
tokens_prompt77
tokens_completion3200
native_tokens_prompt127
native_tokens_completion3047
native_tokens_completion_images(null)
native_tokens_reasoning2791
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"
usage0.0013775
router(null)
provider_responses
0
endpoint_id"ce118593-d9b2-4d2d-bcd4-33f0609b42f1"
id"019dc0574f8ad48eed623aee403acfbe"
is_byokfalse
latency3566
model_permaslug"openai/gpt-oss-120b"
provider_name"SiliconFlow"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer(null)
request_id"req-1777048439-yQ2WNF8KmOeVVdEGMZ4j"
session_id(null)
api_type"completions"
id"gen-1777048439-MguQhYkdLsOwi1d16Vkm"
upstream_id"019dc0574f8ad48eed623aee403acfbe"
total_cost0.0013775
cache_discount(null)
upstream_inference_cost0
provider_name"SiliconFlow"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
100.00% Matches word count n/a
neededCleanfalse
words200
100.00% Dialogue to Total Word Ratio
Ratio: 10.00%, Deviation: 0.00%
neededCleanfalse
wordsTotal200
wordsDialogue20
100.0000%