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Run: 2026-03-18-01KM1GR5MKYJFGF898DKB9MXS7
Run Details
Model:
MiniMax M2.7
Test:
Dialogue tags
Scenario:
Write 200 words with 50% dialogue
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
Messages
Meta
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_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
580
moderation_latency
(null)
generation_time
122691
tokens_prompt
77
tokens_completion
10558
native_tokens_prompt
101
native_tokens_completion
9684
native_tokens_completion_images
(null)
native_tokens_reasoning
9416
native_tokens_cached
0
num_media_prompt
(null)
num_input_audio_prompt
(null)
num_media_completion
0
num_search_results
(null)
origin
"https://ncbench.com/"
is_byok
false
finish_reason
"stop"
native_finish_reason
"stop"
usage
0.0233022
router
(null)
provider_responses
0
endpoint_id
"c444cecf-adc6-4373-9eca-a85b77b50d75"
id
"060a58e9caea2571e68fc9563462e75e"
is_byok
false
latency
580
model_permaslug
"minimax/minimax-m2.7-20260318"
provider_name
"Minimax"
status
200
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_cost
0.0233022
cache_discount
(null)
upstream_inference_cost
0
provider_name
"Minimax"
Evaluation details
Result
Evaluator
Details
Meta Data
100.00%
Matches word count
n/a
neededClean
false
words
200
100.00%
Dialogue to Total Word Ratio
Ratio: 50.00%, Deviation: 0.00%
neededClean
false
wordsTotal
200
wordsDialogue
100
100.0000%