Run: 2026-02-16-01KHM6353SDQPR5VD80TYS9JB6

Run Details

Duration:
16.3s
Cost:
$0.000337
Provider:
SiliconFlow

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 warehouse was thick with the smell of stale coffee and failure. Blueprints for "Operation Sugar Plum" were spread across a rickety card table. Molly tapped a photograph of a brightly coloured bouncy castle with a chewed pencil. “The target’s defences are… sticky,” she announced, her voice grim. “Perimeter is guarded by hyper-caffeinated parents. Inner sanctum is a nightmare of spilled juice and glitter.” Bill, polishing a grappling hook that was absurdly oversized for the task, squinted at the schematic. “Logistics are a beast. How do we exfiltrate the loot? A tricycle?” “Negative. Too conspicuous. We go in disguised as clowns.” Bill dropped his hook with a clang. “Clowns? Our intel says the primary, a four-year-old named Timmy, has a pathological fear of clowns.” Molly smiled, a razor-thin line. “Precisely. He’ll create a diversion we can exploit. We’ll be in and out during the ensuing meltdown.” She produced two garish, polka-dotted outfits. Bill eyed his with pure dread. “The things I do for a pile of LEGOs.” “It’s not about the LEGOs, Bill. It’s about sending a message that no present pile is safe.” “The message is we’re adults stealing from toddlers.” “Semantics. Now, practice your balloon animal. We infiltrate at 1400 hours, right after the cake comas set in.”
created_at"2026-02-16T21:36:08.148522+00:00" 2/16/2026, 9:36:08 PM
model"deepseek/deepseek-chat-v3.1"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency2711
moderation_latency(null)
generation_time16110
tokens_prompt95
tokens_completion359
native_tokens_prompt70
native_tokens_completion318
native_tokens_completion_images(null)
native_tokens_reasoning0
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"stop"
usage0.0003369
router(null)
provider_responses
0
status429
is_byokfalse
latency58
endpoint_id"012f7d1f-23d4-4d03-9aa3-432d8ad82757"
provider_name"DeepInfra"
model_permaslug"deepseek/deepseek-chat-v3.1"
1
id"019c686198f8748f1e79ff34bfa2e348"
status200
is_byokfalse
latency2683
endpoint_id"5d5c9c1d-af0d-4e4a-8aee-c5cd2b3883f3"
provider_name"SiliconFlow"
model_permaslug"deepseek/deepseek-chat-v3.1"
api_type"completions"
id"gen-1771277751-8tXfkWBQvssNEjN9Xty5"
upstream_id"019c686198f8748f1e79ff34bfa2e348"
total_cost0.0003369
cache_discount(null)
upstream_inference_cost0
provider_name"SiliconFlow"

Evaluation details

Result Evaluator Details Meta Data
60.2752% Matches word count n/a
neededCleanfalse
words215
0.0000% Dialogue to Total Word Ratio
Ratio: 61.86%, Deviation: 51.86%
neededCleanfalse
wordsTotal215
wordsDialogue133
30.1376%