Run: 2026-02-16-01KHM5GFTVHNN26FD0M84Y12GC

Run Details

Duration:
2m 33s
Cost:
$0.003193
Provider:
SiliconFlow

Model input

User/Human
You are a author of comedic heist books. Please write a 200 word scene that has 50% 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 smoothed the wrinkled, candy-smeared blueprint onto the table. "Operation Pinata Pinch is a go. Tomorrow, three PM, at the Johnson residence. Presents are deposited beside the snack table." Bill, nursing a cup of cold coffee, frowned. "A children's party? Molly, we stole a van full of televisions last week." "And we almost got caught because you left the GPS on. This is subtle. We infiltrate as party planners." She produced two laminated badges. "I'm 'Miss Joy', you're 'Mr. Fun'. We coordinate games, then during the cake chaos, we box up the gifts and walk out." "Cake chaos?" Bill set his mug down. "What's the exit strategy?" "Confusion. We'll trigger a glitter bomb near the piƱata. While everyone is dazzled, we load the loot into our 'Party Supplies' van." "A glitter bomb? That's not a weapon, it's a craft store accident." "It's non-violent and effective. Now, memorize the schedule: one PM, set up. Two, greet guests. Three, cake and glitter. Four, profit." She beamed. Bill sighed. "I feel like we've hit a new low." "Nonsense! This is a high-stakes, low-security gig. Now, practice your cheerful wave." Molly demonstrated, fingers wiggling with manic enthusiasm. Bill gave a half-hearted flap of his hand. "I need a new line of work." "After this, we'll afford one. Now, again: be joyful!"
created_at"2026-02-16T21:28:13.368471+00:00" 2/16/2026, 9:28:13 PM
model"deepseek/deepseek-v3.2-20251201"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1477
moderation_latency(null)
generation_time152757
tokens_prompt77
tokens_completion7554
native_tokens_prompt67
native_tokens_completion7559
native_tokens_completion_images(null)
native_tokens_reasoning7234
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"
usage0.00319287
router(null)
provider_responses
0
status429
is_byokfalse
latency59
endpoint_id"f270e10b-1d21-4345-9e4e-662ddb5ba441"
provider_name"DeepInfra"
model_permaslug"deepseek/deepseek-v3.2-20251201"
1
id"019c68584069c31f7ca79abecbbcabb9"
status200
is_byokfalse
latency1473
endpoint_id"b39a588a-b338-43ba-b046-226b9e24afa8"
provider_name"SiliconFlow"
model_permaslug"deepseek/deepseek-v3.2-20251201"
api_type"completions"
id"gen-1771277139-RdGXFzwHFqDjs5x8SsKr"
upstream_id"019c68584069c31f7ca79abecbbcabb9"
total_cost0.00319287
cache_discount(null)
upstream_inference_cost0
provider_name"SiliconFlow"

Evaluation details

Result Evaluator Details Meta Data
9.6081% Matches word count n/a
neededCleanfalse
words222
0.0000% Dialogue to Total Word Ratio
Ratio: 78.38%, Deviation: 28.38%
neededCleanfalse
wordsTotal222
wordsDialogue174
4.8041%