Run: 2026-09-03-01M1KBE67GFRY945GNRNYV0NMD

Run Details

Duration:
3m 2s
Cost:
$0.009495
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 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 lowered the binoculars and grinned at the garden, a fortress of pastel balloons. "We go in as the entertainer." Bill scratched his stubble. "A clown? Last time I almost died." Molly rolled her eyes. "You were a mime." "Same difference." She handed him a striped sack, the kind that bulged ominously. "You'll be the present thief." Bill stared at the sack. "Brilliant. A thief stealing gifts from children. Real moral compass." Molly shrugged. "It's a business." Bill glanced at the bouncy castle, where children were queueing. "It's a party. With balloons." Molly tapped the schedule pinned to the sun visor. "We don't take the birthday cake." "Generous." "We take everything else." Bill frowned at the bouncy castle again, his hands twitching. "They've got a bouncy castle." "Not in scope." "Shame." Molly checked her watch. "The parents leave at three." Bill raised an eyebrow. "And the clown?" Molly grinned. "You're the replacement. His tire went flat." Bill snorted. "You punctured it." Molly winked. "There's a tire guy?" She patted his cheek like an aunt. "There's a tire guy, Bill." Bill sighed. "You know, for children's party, we're the worst people." Molly started the engine. "Let's go." The van rolled forward.
created_at"2026-09-03T10:01:10.681Z" 9/3/2026, 10:01:10 AM
model"deepseek/deepseek-v4-flash-20260731"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1055
moderation_latency(null)
generation_time180265
tokens_prompt75
tokens_completion11040
native_tokens_prompt146
native_tokens_completion14338
native_tokens_completion_images(null)
native_tokens_reasoning14028
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"
service_tier(null)
usage0.0094952
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788429670-BnXjkwOWJ0vD9Zg4Da8f"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788429670-dtxJulrSKp1nWH1vtnnx"
upstream_id"req-9kpsvr-1788429672572489733"
provider_responses
0
endpoint_id"14c4df90-c7af-42ff-99e7-69d62a89e7d5"
is_byokfalse
latency1172
model_permaslug"deepseek/deepseek-v4-flash-20260731"
provider_name"AkashML"
status429
1
endpoint_id"f954a48e-1c90-433b-9348-4720f8030331"
is_byokfalse
latency220
model_permaslug"deepseek/deepseek-v4-flash-20260731"
provider_name"OpenInference"
status429
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endpoint_id"e48f3cc5-cecd-4095-99e2-297f51f36d7b"
id"req-9kpsvr-1788429672572489733"
is_byokfalse
latency1055
model_permaslug"deepseek/deepseek-v4-flash-20260731"
provider_name"SiliconFlow"
status200
total_cost0.0094952
cache_discount(null)
upstream_inference_cost0
provider_name"SiliconFlow"
response_cache_source_id(null)
data_region"global"
workspace_id"97e315e5-d303-487d-83c1-83180e8a13d4"

Evaluation details

Result Evaluator Details Meta Data
100.00% Matches word count n/a
neededCleanfalse
words200
100.00% Dialogue to Total Word Ratio
Ratio: 50.00%, Deviation: 0.00%
neededCleanfalse
wordsTotal200
wordsDialogue100
100.0000%