Run: 2026-10-20-01M5C6Q42Q9NCYCTBPSQGY0G87

Run Details

Duration:
3.9s
Cost:
$0.000198
Provider:
InferenceNet

Evaluation summary

Score Evaluator
Details Link
2.01% Matches word count (details)
94.46% Dialogue to Total Word Ratio (details)
48.2351% Overall

Model input

User/Human
You are a author of comedic heist books. Please write a 200 word scene that has 90% 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
"So the clown's our inside man?" Bill whispered, adjusting his tiny party hat. "He's not our inside man, he's our distraction," Molly hissed. "He juggles, we snatch." "Right, but what about the piƱata? That's full of candy, not cash." "We're not after candy, Bill. We're after the presents. The big box with the bow." "The one that says 'For Tommy, happy fifth birthday, love Grandma'?" "That's the one. Inside is a limited-edition gold coin set. Grandma's loaded." "And the kids?" "They'll be blindfolded for pin the tail on the donkey. We slip in during the chorus of Happy Birthday." "What if someone sees us?" "They'll see two guys in bear costumes carrying a sack. Who questions a bear at a party?" "The birthday boy might." "He's four. He'll think we're animatronics." "And the parents?" "They'll be three mimosas deep by noon. We're fine." "Okay. But if the clown starts crying again, I'm out." "Deal. Now let's practice our bear walk." "This is the weirdest heist we've ever done." "You said that about the petting zoo."
created_at"2026-10-20T08:26:46.749Z" 10/20/2026, 8:26:46 AM
model"deepseek/deepseek-v4.1-flash-20261017"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency151
moderation_latency(null)
generation_time3910
tokens_prompt75
tokens_completion379
native_tokens_prompt67
native_tokens_completion386
native_tokens_completion_images(null)
native_tokens_reasoning113
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)
usage0.00019836
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer(null)
request_id"req-1792484806-cpyVpM7Bx34D8s7bBeOj"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1792484806-t9x2ZXAB1niUiBlD7sdk"
upstream_id"gv2_ISxBRdUgUe5wfoPpan2Yy"
provider_responses
0
endpoint_id"4231aea9-73af-4a2f-bd14-660b1d8b13b2"
id"gv2_ISxBRdUgUe5wfoPpan2Yy"
is_byokfalse
latency151
model_permaslug"deepseek/deepseek-v4.1-flash-20261017"
provider_name"InferenceNet"
status200
total_cost0.00019836
cache_discount(null)
upstream_inference_cost0
provider_name"InferenceNet"
response_cache_source_id(null)
data_region"global"
workspace_id"97e315e5-d303-487d-83c1-83180e8a13d4"

Evaluation details

Result Evaluator Details Meta Data
2.01% Matches word count n/a
neededCleanfalse
words175
94.46% Dialogue to Total Word Ratio
Ratio: 94.89%, Deviation: 4.89%
neededCleanfalse
wordsTotal176
wordsDialogue167
48.2351%