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Run: 2026-06-01-01KT1GBYZT5E3EAXQ8Q5MD07H7
Run Details
Model:
MiniMax M3
Test:
Dialogue tags
Scenario:
Write unattributed dialogue
Duration:
18.8s
Cost:
$0.000474
Provider:
Minimax
Evaluation summary
Score
Evaluator
Details Link
60.65%
Count dialogue tags
(details)
Model input
User/Human
You are an expert novel writer in the cozy mystery genre. Write a scene of about 200 words, with dialogue between two characters. The dialogue should be unattributed, meaning the speaker is not explicitly mentioned. The scene should be set in a small town bakery. Only return the story, nothing else.
Model response
Messages
Meta
AI
The morning light slanted through the flour-dusted windows of Maple & Crumb, catching the glass jars of rainbow sprinkles behind the counter. "You're doing it again, you know." "Doing what?" "Talking to the croissants. I can see your lips moving from across the room." "I was not talking to the croissants. I was... encouraging them." "Mmhmm. And the sourdough? Was it also in need of encouragement yesterday when I caught you whispering to it?" "That's a trade secret. I don't have to explain my methods." A bell chimed above the door, and both voices fell silent. A woman in a gray coat stepped inside, snow dusting the shoulders of her jacket. She didn't order. She didn't look at the menu. She walked straight to the corner booth by the window, sat down, and opened a manila folder. "Now that's interesting," one
voice murmured
. "What?" "She was in here three days ago. Same booth. Same folder. Asked me if I sold any blueberry scones to a man in a green coat." "What did you tell her?" "The truth. That I don't remember every customer who walks through my door." "And?" "And that green coats aren't exactly rare in January, dear."
created_at
"2026-06-01T11:51:08.034Z"
6/1/2026, 11:51:08 AM
model
"minimax/minimax-m3-20260531"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
1462
moderation_latency
(null)
generation_time
18760
tokens_prompt
81
tokens_completion
465
native_tokens_prompt
237
native_tokens_completion
380
native_tokens_completion_images
(null)
native_tokens_reasoning
156
native_tokens_cached
223
num_media_prompt
(null)
num_input_audio_prompt
(null)
num_media_completion
0
num_search_results
(null)
num_fetches
(null)
web_search_engine
(null)
origin
"https://ncbench.com/"
is_byok
false
finish_reason
"stop"
native_finish_reason
"stop"
service_tier
(null)
usage
0.00047358
router
(null)
provider_responses
0
endpoint_id
"6851b352-a7e2-45ad-a69e-67ed1208a416"
id
"066ca52c460546b462dfd4d605635004"
is_byok
false
latency
1461
model_permaslug
"minimax/minimax-m3-20260531"
provider_name
"Minimax"
status
200
user_agent
"langchainjs-openai/1.0.0 ((node/v24.16.0; linux; x64))"
http_referer
(null)
request_id
"req-1780314668-CsfrLavFTZGgCpS7ejFC"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1780314668-6CBYdzh6jH2MAEmtOU7z"
upstream_id
"066ca52c460546b462dfd4d605635004"
total_cost
0.00047358
cache_discount
0.00010704
upstream_inference_cost
0
provider_name
"Minimax"
response_cache_source_id
(null)
Evaluation details
Result
Evaluator
Details
Meta Data
60.65%
Count dialogue tags
n/a
neededClean
false
dialogueTags
0
"voice murmured"