Run: 2026-09-23-01M36WM8KA23TWFXH0TSZJK2TZ

Run Details

Duration:
13.4s
Cost:
$0.000321
Provider:
Xiaomi

Evaluation summary

Score Evaluator
Details Link
99.38% Matches word count (details)
98.51% Dialogue to Total Word Ratio (details)
98.9438% 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
Molly unrolled the floor plan across the hood of the car. "Okay, the presents will be in the living room, next to the cake table." "What if there's a bouncy castle outside?" Bill asked. "We go through the back door. Nobody watches the back door at a kids' party. They're all watching the magician." "What magician?" "Uncle Derek. He does the dollar-bill-from-ear trick. We've got twelve minutes before he starts the hats-and-rabbit bit." "Hats and rabbit?" "The big finale. Everyone gathers around." "So we grab the presents during the dollar trick?" "Bill, we grab the presents during the dollar trick." "What if a kid sees us?" "We say we're from the entertainment company." "Your face looks like an entertainment company?" "Excuse me?" "I'm saying you look like a clown." "And you look like a guy who dresses like a clown to rob children. Can we focus?" "Right. Presents. Twelve minutes. Back door." "Uncle Derek's the weak link. Total fraud. No real magic." "How do you know?" "I hired him for my nephew's party last March. The rabbit got loose and bit a kid." "Did the kid get a present?" "That kid isn't here, Bill." "Shame."
created_at"2026-09-23T10:22:51.504Z" 9/23/2026, 10:22:51 AM
model"xiaomi/mimo-v2.6-pro-20260921"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1722
moderation_latency(null)
generation_time13305
tokens_prompt75
tokens_completion370
native_tokens_prompt71
native_tokens_completion333
native_tokens_completion_images(null)
native_tokens_reasoning62
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)
usage0.000320595
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.20.0; linux; x64))"
http_referer(null)
request_id"req-1790158971-6aZlE3z5T8A7OxnUkNko"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1790158971-vxMqBsmJtKVxUu4yEdQM"
upstream_id"7e84a95e-efb7-41d5-9199-3e5997fdab93_e16e4b145ef84b48be61423cdef97980"
provider_responses
0
endpoint_id"2605413e-4a82-494f-ba65-d75f37ac3f11"
is_byokfalse
latency68
model_permaslug"xiaomi/mimo-v2.6-pro-20260921"
provider_name"DeepInfra"
status429
1
endpoint_id"4354fc36-b8ab-4ced-aa8c-0efb6b4523f1"
id"7e84a95e-efb7-41d5-9199-3e5997fdab93_e16e4b145ef84b48be61423cdef97980"
is_byokfalse
latency1632
model_permaslug"xiaomi/mimo-v2.6-pro-20260921"
provider_name"Xiaomi"
status200
total_cost0.000320595
cache_discount(null)
upstream_inference_cost0
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
99.38% Matches word count n/a
neededCleanfalse
words195
98.51% Dialogue to Total Word Ratio
Ratio: 93.50%, Deviation: 3.50%
neededCleanfalse
wordsTotal200
wordsDialogue187
98.9438%