Run: 2026-04-24-01KQ05BXDC4TBMMPH265SPJWK6

Run Details

Duration:
3.3s
Cost:
$0.001544
Provider:
SambaNova

Evaluation summary

Score Evaluator
Details Link
100.00% Matches word count (details)
96.23% Dialogue to Total Word Ratio (details)
98.1140% 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
The attic smelled of stale popcorn and old schematics, the perfect brainstorming nest for two under‑fed crooks. Molly paced, a pink polka‑dot cape fluttering behind her like a misguided superhero’s cape. Bill hunched over a hand‑drawn map of the community center, tracing the route from the delivery dock to the inflatable castle. He whispered, “Molly, you sure about the balloons?” as he lifted a glittery marker. Molly rolled her eyes, tapping a finger on the clipboard that listed “gift‑wrap, candy, squeaky toys”. “Bill, it’s a kids’ party, not a bank,” she muttered, adjusting a fake mustache that had been glued on hours earlier. He grinned, pointing at the inflatable slide that doubled as a covert ladder. “Just think of the candy tonight,” Bill said, eyes sparkling with the promise of sugar‑coated loot. The plan unfolded like a badly‑written children’s story: sneak past the clown, swap the gift bags for empty boxes, and slip away before the piñata exploded. A clock on the wall ticked down, each second a reminder that the party would begin in fifteen minutes, and the thieves could either make history or become the party’s next joke. They slipped into the night, humming “Take the Money and Run.”
created_at"2026-04-24T16:32:32.183Z" 4/24/2026, 4:32:32 PM
model"openai/gpt-oss-120b"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1200
moderation_latency(null)
generation_time3176
tokens_prompt77
tokens_completion1588
native_tokens_prompt127
native_tokens_completion1607
native_tokens_completion_images(null)
native_tokens_reasoning1268
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"
usage0.00154443
router(null)
provider_responses
0
endpoint_id"85835306-dba3-4334-87bc-ab9ffa5c9c62"
is_byokfalse
latency73
model_permaslug"openai/gpt-oss-120b"
provider_name"DeepInfra"
status429
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endpoint_id"f487438c-e29a-408a-b38b-14045101a90d"
id"b506af40-c512-4374-b72b-86df18ee414d"
is_byokfalse
latency1130
model_permaslug"openai/gpt-oss-120b"
provider_name"SambaNova"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer(null)
request_id"req-1777048352-aDBF3PZsm36YIlikcdDP"
session_id(null)
api_type"completions"
id"gen-1777048352-V0QTidONNQi13pLrV2gS"
upstream_id"b506af40-c512-4374-b72b-86df18ee414d"
total_cost0.00154443
cache_discount(null)
upstream_inference_cost0
provider_name"SambaNova"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
100.00% Matches word count n/a
neededCleanfalse
words201
96.23% Dialogue to Total Word Ratio
Ratio: 14.43%, Deviation: 4.43%
neededCleanfalse
wordsTotal201
wordsDialogue29
98.1140%