Run: 2026-10-20-01M5C6GYCRVYBEDGK80BNM98FA

Run Details

Duration:
21.1s
Cost:
$0.001667
Provider:
InferenceNet

Evaluation summary

Score Evaluator
Details Link
100.00% Matches word count (details)
100.00% Dialogue to Total Word Ratio (details)
99.9995% 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
"Okay," Molly said, "the clown's distracted the toddlers with a balloon animal. We've got ninety seconds." "Ninety? I need two minutes just to untangle the ribbon on that giant teddy bear," Bill said. "Then skip the bear. Grab the Lego set and the gift cards." "Gift cards? For a five-year-old? That's low, even for us." "Low is a pile of presents in the back of a van. Now move." "Wait—what if the birthday boy cries?" "Bill, we're thieves, not monsters. He'll cry either way. Focus." "But his mom's got a camera." "So smile and wave. You're wearing a dinosaur mask." "This mask smells like feet." "Less sniffing, more snatching. The piñata's about to break—that's our cue." "Fine. But I'm keeping the stuffed unicorn." "No, you're not. That's evidence." "It's fluffy evidence." "And the glitter gun." "No." "Please?" "Fine, but you carry it." "Bill!" "Okay, okay. On three?" "On three. And don't trip over the bouncy castle this time." "That was one time." "One time too many. Go!" "Wait, the goody bags!" "Forget the goody bags!" "But they have tiny yo-yos." "Deal?" "Deal." They crept toward the party tent. The clown honked a horn. Bill adjusted his mask. Molly grinned.
created_at"2026-10-20T08:23:24.318Z" 10/20/2026, 8:23:24 AM
model"deepseek/deepseek-v4.1-flash-20261017"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency159
moderation_latency(null)
generation_time21073
tokens_prompt75
tokens_completion2807
native_tokens_prompt67
native_tokens_completion3323
native_tokens_completion_images(null)
native_tokens_reasoning3006
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)
usage0.00166686
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer(null)
request_id"req-1792484604-cynAQ58hf45LSueeEztP"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1792484604-Kkd91aUkOtray5T1LsRC"
upstream_id"gv2_CDFJqy7sAPO2eVN5HqSCu"
provider_responses
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endpoint_id"4231aea9-73af-4a2f-bd14-660b1d8b13b2"
id"gv2_CDFJqy7sAPO2eVN5HqSCu"
is_byokfalse
latency159
model_permaslug"deepseek/deepseek-v4.1-flash-20261017"
provider_name"InferenceNet"
status200
total_cost0.00166686
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
100.00% Matches word count n/a
neededCleanfalse
words201
100.00% Dialogue to Total Word Ratio
Ratio: 89.71%, Deviation: 0.29%
neededCleanfalse
wordsTotal204
wordsDialogue183
99.9995%