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Run: 2026-03-18-01KM1G6887C9A4BWAE8134H4XB
Run Details
Model:
MiniMax M2.7
Test:
Dialogue tags
Scenario:
Write 200 words with 90% dialogue
Duration:
2m 2s
Cost:
$0.025330
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 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
Messages
Meta
AI
Molly squinted at the party map while Bill tightened his grappling hook. The hallway smelled of frosting and imminent chaos. "Bill, the cake's a decoy, right?" "Molly, it's a masterpiece of chocolatey camouflage." "Then we slip the gift bags out while the kids chase the piñata." "Exactly, I will juggle rubber ducks, you grab the loot." "Do we need a backup if the clown catches us?" "I'll bribe him with extra frosting; everyone loves extra frosting." "Alright, but keep the noise down, the baby will wake." "I have a lullaby playlist ready, set to maximum volume." "What about the parents?" "We'll say it's a surprise fireworks show; kids love fireworks." "And the presents?" "I'll stuff them in my giggly sack while you distract with a balloon animal." "Perfect. After we leave, we vanish like a magician's rabbit." "Only if the rabbit is wearing a top hat." "Deal. Let's roll, partner." "Remember, the castle cake hides a secret." "Got it. I'll pretend to be a party clown, you be the magician," "Are you sure the parents won't notice the missing loot?" "Trust me, they’ll be too busy snapping selfies with the birthday boy," "Alright, on three we split. One, two, three!"
created_at
"2026-03-18T22:13:49.964Z"
3/18/2026, 10:13:49 PM
model
"minimax/minimax-m2.7-20260318"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
672
moderation_latency
(null)
generation_time
121629
tokens_prompt
77
tokens_completion
10648
native_tokens_prompt
101
native_tokens_completion
10529
native_tokens_completion_images
(null)
native_tokens_reasoning
10251
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
0.0253302
router
(null)
provider_responses
0
endpoint_id
"c444cecf-adc6-4373-9eca-a85b77b50d75"
id
"060a569d6725d16299104d1aeb906a9b"
is_byok
false
latency
672
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-1773872029-rI1kOWPNM3OBmNaY64Fa"
upstream_id
"060a569d6725d16299104d1aeb906a9b"
total_cost
0.0253302
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: 90.00%, Deviation: 0.00%
neededClean
false
wordsTotal
200
wordsDialogue
180
100.0000%