Run: 2026-03-18-01KM1GR5MKYJFGF898DKB9MXS7

Run Details

Duration:
2m 3s
Cost:
$0.023302
Provider:
Minimax

Evaluation summary

Score Evaluator
Details Link
100.00% Matches word count (details)
100.00% Dialogue to Total Word Ratio (details)
100.0000% Overall

Model input

User/Human
You are a author of comedic heist books. Please write a 200 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

AI
Molly adjusted her black beanie, peering through the window at the birthday circus. Balloons bobbed, a clown squeaked, and a mountain of glittering presents glittered under the lights. Bill leaned against a juice box, twirling a fake mustache between his fingers, and plotted the perfect distraction. He suggested a covert reconnaissance of the cake table while the parents cheered for the magician. Molly giggled, sketching a map on a napkin that marked the exit as the loot drop. Together they rehearsed their roles, practicing the clown's wiggle and the magician's sleight of hand, while children giggled and parents sipped punch. "Alright, I’ll enter as the wizard, wave my wand, and while applauds, you slip the gift bags into the sack." "Perfect, I’ll don clown nose, juggle balloons, and when parents look away, I’ll swap presents for the tiny decoy boxes." "Now, while the cake is sliced, I’ll distract the kids with a magic trick, and you pocket the gift cards." "Got it, and if anyone asks, I’ll claim I’m the party’s official ‘gift wrangler’, handing out loot like a pro." "Remember, the goal is to leave kids smiling, so we’ll return empty boxes with a note saying ‘Thank you, magicians!’"
created_at"2026-03-18T22:23:37.113Z" 3/18/2026, 10:23:37 PM
model"minimax/minimax-m2.7-20260318"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency580
moderation_latency(null)
generation_time122691
tokens_prompt77
tokens_completion10558
native_tokens_prompt101
native_tokens_completion9684
native_tokens_completion_images(null)
native_tokens_reasoning9416
native_tokens_cached0
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"stop"
usage0.0233022
router(null)
provider_responses
0
endpoint_id"c444cecf-adc6-4373-9eca-a85b77b50d75"
id"060a58e9caea2571e68fc9563462e75e"
is_byokfalse
latency580
model_permaslug"minimax/minimax-m2.7-20260318"
provider_name"Minimax"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.0; linux; x64))"
http_referer(null)
api_type"completions"
id"gen-1773872617-W2oBPGRcKcGDwabBZdeE"
upstream_id"060a58e9caea2571e68fc9563462e75e"
total_cost0.0233022
cache_discount(null)
upstream_inference_cost0
provider_name"Minimax"

Evaluation details

Result Evaluator Details Meta Data
100.00% Matches word count n/a
neededCleanfalse
words200
100.00% Dialogue to Total Word Ratio
Ratio: 50.00%, Deviation: 0.00%
neededCleanfalse
wordsTotal200
wordsDialogue100
100.0000%