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Run: 2026-04-24-01KQ015BG25E6QX9WV55T07GFH
Run Details
Model:
Xiaomi MIMO v2.5 Pro
Test:
Dialogue tags
Scenario:
Write 500 words with 30% dialogue
Duration:
18.6s
Cost:
$0.002429
Provider:
Xiaomi
Evaluation summary
Score
Evaluator
Details Link
3.62%
Matches word count
(details)
0.00%
Dialogue to Total Word Ratio
(details)
1.8139%
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
The blueprint was spread across Molly's kitchen table, held down at the corners by a half-eaten bagel and a coffee mug that had seen better decades. It wasn't really a blueprint, of course. It was a hand-drawn map of the Hargrove community center, sketched on the back of a grocery receipt by Bill, whose artistic talents had clearly peaked in second grade. "Walk me through it one more time," Molly said, tapping the area marked with a crude smiley face. "That's where the presents go. The kids open them during cake time, and the parents stack everything on the gift table by the north wall." Bill adjusted his reading glasses, which he wore not because he needed them but because he felt they projected intelligence. "The party starts at two. Cake cutting is scheduled for three fifteen. That gives us exactly four minutes before someone notices." "Four minutes to grab thirty-odd presents from a table surrounded by a hundred sugar-crazed six-year-olds." "That's why we need a distraction." Molly leaned back in her chair and studied the ceiling. She had pulled off some memorable jobs in her twelve-year career. She had once walked out of a jewelry store wearing a diamond necklace that the owner didn't realize was missing for six hours. She had successfully emptied a university safe during a faculty meeting being held in the same room. But stealing birthday presents from children felt like entering uncharted moral territory, even for her. "The birthday kid is named Olivia," Bill continued, consulting a folded party invitation he had fished out of someone's recycling bin. "Theme is unicorns." "Of course it is." "I already rented the costume." Molly slowly turned her head to look at him. "You rented a unicorn costume." "It's a full-body suit. Very convincing. Horn, rainbow mane, the works. I walk in as the entertainment, do a lap around the room, wave at the kids, and by the time anyone thinks twice about it, you're out the back door with the goods." "And where exactly am I during all this?" "Behind the gift table. You come in through the kitchen. The caterer's entrance is around back, no lock, just a sliding bolt. I checked." Molly studied the map again. She traced a path from the kitchen door to the gift table with her finger, then to the emergency exit on the east side. It was clean. Disturbingly clean. "What about parents?" "Helicopter moms will be parked by the bouncy castle. Dads will be pretending to watch football on their phones. Nobody guards the gift table. That's human nature." "You've really thought this through." "I've been planning this for three weeks, Molly." She picked up the bagel and took a bite. It was stale. She chewed it anyway and stared at the map for another long moment before swallowing. "Fine," she said. "But if I have to wear a costume, you're paying for dry cleaning." Bill grinned and pulled a second folded paper from his pocket. It was an order confirmation for a pink butterfly outfit. Molly closed her eyes and wondered, not for the first time, why she hadn't gone into accounting.
created_at
"2026-04-24T15:19:02.935Z"
4/24/2026, 3:19:02 PM
model
"xiaomi/mimo-v2.5-pro-20260422"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
3756
moderation_latency
(null)
generation_time
18505
tokens_prompt
77
tokens_completion
914
native_tokens_prompt
315
native_tokens_completion
773
native_tokens_completion_images
(null)
native_tokens_reasoning
113
native_tokens_cached
256
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"
usage
0.0024292
router
(null)
provider_responses
0
endpoint_id
"5c24ecc9-5ba1-4af0-8877-3402889e7d0a"
id
"cccb6619438f4c92a19e3d3fee80148d"
is_byok
false
latency
3555
model_permaslug
"xiaomi/mimo-v2.5-pro-20260422"
provider_name
"Xiaomi"
status
200
user_agent
"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer
(null)
request_id
"req-1777043942-62dXIEGYpkIUuzTix0Gj"
session_id
(null)
api_type
"completions"
id
"gen-1777043942-0Y4g97yHyvSglpbZeo0B"
upstream_id
"cccb6619438f4c92a19e3d3fee80148d"
total_cost
0.0024292
cache_discount
0.0002048
upstream_inference_cost
0
provider_name
"Xiaomi"
response_cache_source_id
(null)
Evaluation details
Result
Evaluator
Details
Meta Data
3.62%
Matches word count
n/a
neededClean
false
words
524
0.00%
Dialogue to Total Word Ratio
Ratio: 44.17%, Deviation: 14.17%
neededClean
false
wordsTotal
532
wordsDialogue
235
1.8139%