Run: 2026-07-25-01KYCYAVSHA81VBHV70CXCY750

Run Details

Duration:
2.8s
Cost:
$0.001252
Provider:
BaseTen

Evaluation summary

Score Evaluator
Details Link
97.63% Matches word count (details)
36.79% Dialogue to Total Word Ratio (details)
67.2078% 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
"Sixteen kids. One clown. Infinite chaos." "Exactly, Bill. Chaos is cover." "Cover for what? We steal dolls from toddlers?" "Not dolls! The gifts! Stack's in the living room, parents outside smoking." "You want to rob a birthday?" "It's a loot opportunity! Balloons distract everyone!" "Balloons don't distract security guards." "There aren't any! Just Mrs. Henderson and her panic attacks!" "So your plan is...?" "Dress as caterers! I brought the black pants!" "You're bringing pants?" "And a tray! You carry tray, I grab sack!" "Of course you brought a sack." "Kiddie pool in back yard! Drain it first?" "Drain pool? For presents?" "No! For escape route! Slide through mud!" "Molly, that's not a plan, that's a disaster with steps!" "Disasters pay! Remember the zoo?" "That was one flamingo!" "Exactly! High risk, high reward piƱatas!" "We're stealing from children!" "Children have bad taste! We'll sell the plastic junk!" "What if they cry?" "Kids always cry! We'll be gone!" "You're insane!" "I'm innovative! Now put on this apron!" "I look like a waiter at a funeral!" "Perfect! Somber caterers! Let's go steal some happiness!" "Molly... I need a drink!" "After! When we're rich in toy cars!"
created_at"2026-07-25T15:29:38.107Z" 7/25/2026, 3:29:38 PM
model"thinkingmachines/inkling-20260715"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency486
moderation_latency(null)
generation_time2124
tokens_prompt75
tokens_completion307
native_tokens_prompt73
native_tokens_completion291
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)
num_fetches(null)
web_search_engine(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"stop"
service_tier(null)
usage0.00125155
router(null)
provider_responses
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endpoint_id"ba2df08c-c0a0-4e0e-9f31-d79a9c475b70"
id"chatcmpl-401f48cfb6a243d1937a19083e4426d5"
is_byokfalse
latency486
model_permaslug"thinkingmachines/inkling-20260715"
provider_name"BaseTen"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.18.0; linux; x64))"
http_referer(null)
request_id"req-1784993378-fvStrClip6p8tu592Ke5"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1784993378-h5krbDlzFMsRFTdvaXlI"
upstream_id"chatcmpl-401f48cfb6a243d1937a19083e4426d5"
total_cost0.00125155
cache_discount(null)
upstream_inference_cost0
provider_name"BaseTen"
response_cache_source_id(null)
data_region"global"

Evaluation details

Result Evaluator Details Meta Data
97.63% Matches word count n/a
neededCleanfalse
words193
36.79% Dialogue to Total Word Ratio
Ratio: 100.00%, Deviation: 10.00%
neededCleanfalse
wordsTotal193
wordsDialogue193
67.2078%