Run: 2026-06-01-01KT1J7YV5X1N3R5XR1MTJ0P4A

Run Details

Duration:
29.2s
Cost:
$0.000514
Provider:
Minimax

Evaluation summary

Score Evaluator
Details Link
43.38% Matches word count (details)
36.79% Dialogue to Total Word Ratio (details)
40.0831% 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
"You ready for the Morrison job?" "Bill, it's a six-year-old's birthday party." "Exactly. Low security. High reward. The presents alone could fetch us a hundred bucks." "Bill. We're stealing from children." "Relax, we just borrow. Okay, we steal. But think of the toys! Vintage Beanie Babies, Molly. I hear this kid's loaded." "Loaded? His parents bought a piñata from Costco." "Which means premium confetti. That's a five-dollar resale, minimum." "You've lost your mind." "Molly. I've found my calling. Now, I go in as the clown. You—" "I'm not dressing as a clown." "Fine. You be the magician's assistant. You distract the parents, I grab the gift table, we vanish like—" "Into what? A minivan?" "A very fast minivan. I've got it timed. The cake comes out at two-fifteen. Everyone sings. Chaos. We move." "And when the kids cry?" "Kids always cry, Molly. That's not on us." "I'm not sure that's legally accurate." "Since when do we care about legally accurate?" "I care when it involves traumatized toddlers, Bill!" "Fine. We leave the Barbie Dreamhouse." "You'd leave the Dreamhouse?" "It clashes with my aesthetic."
created_at"2026-06-01T12:23:53.962Z" 6/1/2026, 12:23:53 PM
model"minimax/minimax-m3-20260531"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1861
moderation_latency(null)
generation_time29154
tokens_prompt77
tokens_completion493
native_tokens_prompt236
native_tokens_completion414
native_tokens_completion_images(null)
native_tokens_reasoning176
native_tokens_cached222
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)
usage0.00051432
router(null)
provider_responses
0
endpoint_id"6851b352-a7e2-45ad-a69e-67ed1208a416"
id"066cacd9f36f3291ada8e06f65b0e58e"
is_byokfalse
latency1861
model_permaslug"minimax/minimax-m3-20260531"
provider_name"Minimax"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.16.0; linux; x64))"
http_referer(null)
request_id"req-1780316633-Q3MzQael9yF43WZHkWGU"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1780316633-tQ6QN1qiNOpxxQGCkiLd"
upstream_id"066cacd9f36f3291ada8e06f65b0e58e"
total_cost0.00051432
cache_discount0.00010656
upstream_inference_cost0
provider_name"Minimax"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
43.38% Matches word count n/a
neededCleanfalse
words183
36.79% Dialogue to Total Word Ratio
Ratio: 100.00%, Deviation: 10.00%
neededCleanfalse
wordsTotal187
wordsDialogue187
40.0831%