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Run: 2026-07-25-01KYCXYBSW5QE6AXS3A3ET0XMB
Run Details
Model:
Thinking Machines Inkling (Reasoning)
Test:
Dialogue tags
Scenario:
Write 500 words with 30% dialogue
Duration:
3m 41s
Cost:
$0.063348
Provider:
Together
Evaluation summary
Score
Evaluator
Details Link
0.00%
Matches word count
(details)
31.48%
Dialogue to Total Word Ratio
(details)
15.7376%
Overall
Model input
User/Human
You are a author of comedic heist books. Please write a 500 word scene that has 30% 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 flattened the crayon blueprint across the sticky diner table as if she were unveiling the Dead Sea Scrolls, except these particular scrolls smelled of maple syrup, regret, and a faint hint of wax. The paper was a riot of purple and orange. A massive circle labeled BOUNCY CASTLE dominated the center, surrounded by stick figures with exaggerated smiles and a suspicious number of balloons. Bill stirred his lukewarm coffee with a spoon that bent like it was apologizing for its existence. He looked at the drawing, then at Molly, then back at the drawing, as if the paper might suddenly confess it was a joke. “You want us to rob a birthday party.” Molly grinned with the confidence of someone who had never met a bad idea she didn’t want to marry. She wore a leather jacket over a dress that said she was ready for both larceny and a brunch reservation. She tapped the purple circle with a fingernail painted in chipped gold polish. “We prefer reclaiming assets. There are forty-seven presents. One is definitely a PlayStation. Another dinosaur actually roars. The mother confirmed it.” Bill leaned closer, squinting at the crayon lines that seemed to wiggle in the fluorescent light. He was a man who had stolen diamonds, forged passports, and once talked his way out of a customs inspection using only a convincing sneeze. This was different. This felt like committing a felony against childhood itself. “We stole a sapphire from a laser museum. Now we crawl through a castle for cardboard?” “Cardboard containing electronics,” Molly corrected, sliding her finger across the map to a gate drawn with glitter pen. “Security is Chad, a teenager working for pizza coupons. His entire strategy involves standing near the cupcakes and hoping nobody needs directions.” Bill pointed. “Exit?” Molly traced the arch behind the balloons. Seven feet wide. Zero cameras. She had already bribed the latch with a coupon for free fries. They would enter as parents. Bill would wear the polo. “Seven feet. No cameras. I bribed the gate. You wear the polo.” Bill went pale, as if she had suggested he wear a live lobster. “The rhinestone one?” “It says WORLD’S BEST UNCLE,” Molly said, pulling the shirt from her bag with ceremonial pride. The rhinestones caught the diner light like tiny, judgmental stars. “We mingle. We compliment gluten-free muffins. When the piñata explodes and chaos reigns, we slide behind the table and fill the bags.” Bill rubbed his temples, feeling a migraine that tasted like responsibility. “Children are witnesses.” “They’re toddlers,” Molly said, waving her hand as if dismissing the FBI. “Their testimony is adorable and legally useless. The jury sends sympathy cards.” Bill folded the map with surprising tenderness, as if tucking a dangerous child into bed. “This is the dumbest job we’ve ever planned.” “Exactly,” Molly said, gathering her bag. “Nobody expects thieves at a birthday party. They expect clowns, magicians, maybe a crying uncle in a minivan. We are invisible.” Bill dropped a five on the table and stood. “If caught, I blame the dinosaur and your fashion choices.” “You’ll blame me from a cell,” Molly said, slinging her bag over her shoulder, “where I hid the escape file inside the birthday cake. The baker is paid. Our exit strategy is literally frosted.” Bill followed her into the harsh afternoon light, measuring the duffel bag’s capacity with practiced fingers. “We are going to prison for Lego.” “We are going to prison,” Molly corrected, adjusting her sunglasses, “with the finest remote-control dinosaur on the black market. Saturday, two sharp. Wear shoes that can survive judgment from parents and inflatable architecture.” Bill muttered about dignity and clowns, but his stride matched hers. Molly hummed an off-key rendition of “Happy Birthday” as they walked toward the car, two thieves with crayon dreams and absolutely no shame. Across town, forty-seven presents sat wrapped in cheerful paper, unaware that their fate now included rhinestones, a bouncy castle betrayal, and two adults who had just committed to the world’s most cheerful felony.
created_at
"2026-07-25T15:22:48.516Z"
7/25/2026, 3:22:48 PM
model
"thinkingmachines/inkling-20260715"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
169
moderation_latency
(null)
generation_time
220606
tokens_prompt
75
tokens_completion
14308
native_tokens_prompt
75
native_tokens_completion
15623
native_tokens_completion_images
(null)
native_tokens_reasoning
14756
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
0.06334815
router
(null)
provider_responses
0
endpoint_id
"9911deb9-f44e-4e18-87fe-9d7b60acee72"
id
"otYiYMC-6z2FuN-a20c29855fdfad24"
is_byok
false
latency
168
model_permaslug
"thinkingmachines/inkling-20260715"
provider_name
"Together"
status
200
user_agent
"langchainjs-openai/1.0.0 ((node/v24.18.0; linux; x64))"
http_referer
(null)
request_id
"req-1784992968-adt6AQDHcncN3TIuZKLd"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1784992968-sSsNEwvF2Pq9AtiyOecn"
upstream_id
"otYiYMC-6z2FuN-a20c29855fdfad24"
total_cost
0.06334815
cache_discount
(null)
upstream_inference_cost
0
provider_name
"Together"
response_cache_source_id
(null)
data_region
"global"
Evaluation details
Result
Evaluator
Details
Meta Data
0.00%
Matches word count
n/a
neededClean
false
words
673
31.48%
Dialogue to Total Word Ratio
Ratio: 34.81%, Deviation: 4.81%
neededClean
false
wordsTotal
678
wordsDialogue
236
15.7376%