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Run: 2026-09-23-01M36WHEN2V2056J5QM3BPQGA9
Run Details
Model:
Xiaomi MIMO v2.6 Flash
Test:
Dialogue tags
Scenario:
Write 500 words with 50% dialogue
Duration:
21.7s
Cost:
$0.000207
Provider:
Xiaomi
Evaluation summary
Score
Evaluator
Details Link
99.74%
Matches word count
(details)
0.00%
Dialogue to Total Word Ratio
(details)
49.8722%
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
The van was parked three blocks from the birthday party venue, engine ticking as the autumn air cooled it. Inside, Molly spread a floor plan across the dashboard while Bill tried to unwrap a protein bar with his knife hand still bandaged from a misadventure with a garden shed. "Alright, listen up, Bill. The party starts at two. Thirty kids, parents hovering like seagulls over chips." "Shouldn't we be worried about the parents?" Bill asked, licking chocolate from his fingers. "The parents will be hammered by three. You know how it goes. The dads stay sober for exactly two slices of cake, then someone brings out the wine. We go in when the first dad starts telling that story about his boat." "He always has a boat story." "They all have a boat story." Molly tapped the floor plan. "There are forty-two wrapped gifts stacked behind the bouncy castle. Forty-two, Bill. Can you imagine what's in there? Electronics. Tablets. Those little drones kids go insane for." "What about gift cards?" Bill leaned in. "Gift cards are just money with bows. We take them all." Molly pulled out a pair of work gloves and snapped them on. "We dress as caterers." "Caterers? We don't look like caterers." "You look like a caterer who ate all the food and hated himself for it. Put on the apron." Bill examined the apron suspiciously. "Where did you even get this?" "It has the bakery's name on it. Wholesome Mary's Kitchen." "We're not Wholesome Mary." "Wholesome Mary is off sick. We're her backup." Molly handed him a tray of fake pastry boxes. "You hold this. I'll do the talking. We walk in through the kitchen entrance, load the gifts into the boxes, and walk out the front." "What if someone asks who we are?" "Then you say you're a new hire, look confused, and offer them a canapé." "You just said fake pastry boxes." "Bill. Focus. The point is you give them something shiny and green and they don't ask follow-up questions." She tore open a bag of mini sandwiches. "Also, be quick. We've got five minutes after the dads get sentimental or before the mum who works in security notices a man she doesn't recognize carrying trays in an apron with the wrong bakery's name." Bill nodded slowly. "And the drone I want. The one in the red box." "Your taste in loot remains deeply questionable, but yes, you can have the drone." Molly closed the floor plan and killed the van's interior light. "Let's go steal some children's presents." "Is it weird that I'm more nervous about this than the bank job?" "The bank job took six months. This takes six minutes. You should be less nervous." "I'm nervous because parents are unpredictable. Banks have rules." "So do children." Molly slid open the side door. "Rule one: they never look behind them. Rule two: they'll scream if you make eye contact for more than three seconds. Rule three—" "Never talk to the birthday girl?" "Now you're learning."
created_at
"2026-09-23T10:21:19.401Z"
9/23/2026, 10:21:19 AM
model
"xiaomi/mimo-v2.6-flash-20260921"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
1363
moderation_latency
(null)
generation_time
21656
tokens_prompt
75
tokens_completion
790
native_tokens_prompt
71
native_tokens_completion
704
native_tokens_completion_images
(null)
native_tokens_reasoning
47
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
0.00020706
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.20.0; linux; x64))"
http_referer
(null)
request_id
"req-1790158879-ikJRtxF8VYfEpO6yAbE6"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1790158879-5TxubzCLdNYIbrxF4eGU"
upstream_id
"b11fbafd-03ef-4e1d-b0fb-2215450382e3_282d70db6d134d1eaf75416069f1ce1f"
provider_responses
0
endpoint_id
"6f7ea660-c5e2-492e-8a39-ec254953b3ae"
id
"b11fbafd-03ef-4e1d-b0fb-2215450382e3_282d70db6d134d1eaf75416069f1ce1f"
is_byok
false
latency
1253
model_permaslug
"xiaomi/mimo-v2.6-flash-20260921"
provider_name
"Xiaomi"
status
200
total_cost
0.00020706
cache_discount
(null)
upstream_inference_cost
0
provider_name
"Xiaomi"
response_cache_source_id
(null)
data_region
"global"
workspace_id
"97e315e5-d303-487d-83c1-83180e8a13d4"
Evaluation details
Result
Evaluator
Details
Meta Data
99.74%
Matches word count
n/a
neededClean
false
words
504
0.00%
Dialogue to Total Word Ratio
Ratio: 76.73%, Deviation: 26.73%
neededClean
false
wordsTotal
507
wordsDialogue
389
49.8722%