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Run: 2026-07-25-01KYCXJRT01X67PFGP7HSBAZM4
Run Details
Model:
Thinking Machines Inkling (Reasoning)
Test:
Dialogue tags
Scenario:
Write 500 words with 50% dialogue
Duration:
39.2s
Cost:
$0.014947
Provider:
BaseTen
Evaluation summary
Score
Evaluator
Details Link
43.38%
Matches word count
(details)
0.00%
Dialogue to Total Word Ratio
(details)
21.6892%
Overall
Model input
User/Human
You are a author of comedic heist books. Please write a 500 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
Messages
Meta
AI
Molly slammed the glitter-bomb invitation onto the rusted workbench. "Read it. Out loud. With theatrical despair." Bill adjusted his glasses and squinted. "Children's Extravaganza. Saturday, two p.m. Bouncy castle. Magician named Zizzle. RSVP to a mom named Karen." "Keep going." "Gift table near garage. No adults after three. Full access to thirty unguarded minors and approximately one metric ton of plastic." Molly grinned. "You missed the best part." Bill scanned. "Sprinkles the dog will be present?" "That dog is our lookout failure. No, Bill—forty presents. One teenage babysitter. Zero security." Bill scratched his graying beard. "We are planning to rob a birthday party?" "It's not robbery if we enter through a gate with code one-two-three-four." "That is the definition of unauthorized entry with convenience." Molly unfurled a crumpled map. "Side yard, past the inflatable obstacle course—" "The bouncy castle is an obstacle?" "If you're over two hundred pounds. For us, it's decoration." Bill leaned closer. "There's a magician, Mol. Magicians understand misdirection. That's our job." "Zizzle pulls doves from sleeves. Meanwhile, I pull Xboxes from gift bags." "He might have an assistant." "Then we recruit her. Teenagers always need cash for platform boots." Bill stood, pacing between stacked crates. "This feels wrong. We're professionals. Last month we cracked a vault." "We cracked a vending machine with a coat hanger. Got three granola bars." "Worth it for the principle." "These gifts include a drone, Bill. A drone for a child who still eats paste." "So we're saving society?" "We're saving our retirement fund." Bill pointed at the invite. "There's a dog named Sprinkles." "Golden retriever. Loves cheddar." "You researched the dog?" "It's intelligence gathering." Bill rubbed his eyes. "I'm bringing pepper spray." "For a golden retriever?" "For Madison. The sitter. She's sixteen, wears boots with steel toes, and has three hundred thousand followers for dance videos." Molly pulled on her black gloves. "Exactly. She's distracted by her phone. You distract her with charm." "I have no charm." "Then lie about having a podcast. Teenagers respect podcasts." Bill groaned. "What if a kid sees us?" "Kids classify adults as teachers, dentists, or intruders. We'll be caterers." "We're not caterers." "We bring a decoy cake. Walk in holding buttercream. Nobody questions cake." Bill's jaw dropped. "We steal cake?" "No, that's our cover charge. We deposit cake, extract gifts, vanish." "Risky." "Molly, risk is our brand." "It's not. Your brand is questionable life choices." She zipped her duffel. "Friday, recon. Wear a cardigan. Cry near the magic show. Grab gifts while Zizzle's back is turned." "And if he turns around?" "Then applaud loudly and shout, 'How'd he do that?' Magicians live for applause. He'll forget we exist." Bill grabbed his coat. "If we get caught, I'm blaming the dog." "If we get caught, we'll be in Mexico with forty LEGO sets." "Some require batteries." "Then we'll steal those too." She winked. "Let's go liberate some happiness."
created_at
"2026-07-25T15:16:28.617Z"
7/25/2026, 3:16:28 PM
model
"thinkingmachines/inkling-20260715"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
1198
moderation_latency
(null)
generation_time
38164
tokens_prompt
75
tokens_completion
3958
native_tokens_prompt
75
native_tokens_completion
3672
native_tokens_completion_images
(null)
native_tokens_reasoning
2963
native_tokens_cached
0
num_media_prompt
(null)
num_input_audio_prompt
(null)
num_media_completion
0
num_search_results
(null)
num_fetches
(null)
web_search_engine
(null)
origin
"https://ncbench.com/"
is_byok
false
finish_reason
"stop"
native_finish_reason
"stop"
service_tier
(null)
usage
0.0149466
router
(null)
provider_responses
0
endpoint_id
"ba2df08c-c0a0-4e0e-9f31-d79a9c475b70"
id
"chatcmpl-6e26215e507440779c8347e8ca4b496d"
is_byok
false
latency
1198
model_permaslug
"thinkingmachines/inkling-20260715"
provider_name
"BaseTen"
status
200
user_agent
"langchainjs-openai/1.0.0 ((node/v24.18.0; linux; x64))"
http_referer
(null)
request_id
"req-1784992588-F65pkyWTusQLWQ9eLjRd"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1784992588-y9XhBQvKukPrlPawbl33"
upstream_id
"chatcmpl-6e26215e507440779c8347e8ca4b496d"
total_cost
0.0149466
cache_discount
(null)
upstream_inference_cost
0
provider_name
"BaseTen"
response_cache_source_id
(null)
data_region
"global"
Evaluation details
Result
Evaluator
Details
Meta Data
43.38%
Matches word count
n/a
neededClean
false
words
483
0.00%
Dialogue to Total Word Ratio
Ratio: 85.83%, Deviation: 35.83%
neededClean
false
wordsTotal
487
wordsDialogue
418
21.6892%